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Whole-Genome Random Sequencing and Assembly of Haemophilus influenzae Rd

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KEGG: integrating viruses and cellular organisms

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Metabolomics: A New Tool to Reveal the Nature of Diabetic Kidney Disease

Huang, G., Li, M., Li, Y. J., & Mao, Y. (2022) · Laboratory Medicine · doi:10.1093/labmed/lmac041 · Cited by 933

KEGG mapping tools for uncovering hidden features in biological data

Kanehisa, M. I., Sato, Y., & Kawashima, M. (2021) · Protein Science · doi:10.1002/pro.4172 · Cited by 749

Interactions between nutritional programming, genotype, and gut microbiota in Atlantic salmon: Long-term effects on gut microbiota, fish growth and feed efficiency

Rimoldi, S., Quiroz, K. F., Kalemi, V., McMillan, S., Stubhaug, I., Martínez-Rubio, L., Betancor, M. B., & Terova, G. (2024) · Aquaculture · doi:10.1016/j.aquaculture.2024.741813 · Cited by 15

Integrated multiomics analysis identified comprehensive crosstalk between diverse programmed cell death patterns and novel molecular subtypes in Hepatocellular Carcinoma

Chen, L., Hu, Y., Li, Y., Zhang, B., Wang, J., Deng, M., Zhang, J., Zhu, W., Gu, H., & Zhang, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-78911-4 · Cited by 15

A multi-omics Mendelian randomization study identifies new therapeutic targets for alcohol use disorder and problem drinking

Rosoff, D. B., Wagner, J., Bell, A. S., Mavromatis, L. A., Jung, J., & Lohoff, F. W. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02040-1 · Cited by 15

Kaempferol alleviates rheumatoid arthritis through pyroptosis based on bioinformatics analysis and experimental validation

Ling, Y., Ren, N., Yang, Y., Xu, H. Z., Xiong, H., Wang, Q., Lu, D., Yao, X., & Ma, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-81833-w · Cited by 14

Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey

Zhong, Z., Barkova, A., & Mottin, D. (2025) · ACM Computing Surveys · doi:10.1145/3744237 · Cited by 20

Aneuploidy-induced proteostasis disruption impairs mitochondrial functions and mediates aggregation of mitochondrial precursor proteins through SQSTM1/p62

Amponsah, P. S., Boekenkamp, J.-E., Kurpa, O., Lenhard, S., Myronova, A., Velazquez, D. O. V., Hirschelmann, C., Behrends, C., Herrmann, J. M., Räschle, M., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-60857-4 · Cited by 15

Integrated analysis identifies oxidative stress-related lncRNAs associated with progression and prognosis in colorectal cancer

Chen, R., & Wei, J.-M. (2023) · BMC Bioinformatics · doi:10.1186/s12859-023-05203-5 · Cited by 14

Benchmark Dataset for Training Machine Learning Models to Predict the Pathway Involvement of Metabolites

Huckvale, E. D., Powell, C. D., Jin, H., & Moseley, H. (2023) · Metabolites · doi:10.3390/metabo13111120 · Cited by 14

Focal adhesion kinase promotes aerobic glycolysis in hepatic stellate cells via the cyclin D1/c-Myc/MCT-1 pathway to induce liver fibrosis

Huang, T., Zhou, M.-Y., Zou, G.-L., Hu, R.-H., Han, L., Zhang, Q.-X., & Zhao, X.-K. (2025) · Scientific Reports · doi:10.1038/s41598-025-88538-8 · Cited by 14

A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applications

Qian, Y., Wang, Y., Liu, J., Zou, Q., Ding, Y., Guo, X., & Ding, W. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102894 · Cited by 14

Unveiling the mechanism of amelioration of adjuvant-induced rheumatoid arthritis by Drynaria quercifolia rhizome extract using network pharmacology and gene expression-based studies

Modak, D., Ghosh, S., Sarkar, S., Roy, S., Chakraborty, A., Ray, A., Patel, C., Georrge, J. J., Thakur, S., & Bhattacharjee, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-87461-2 · Cited by 13

The Genetic Background of Ankylosing Spondylitis Reveals a Distinct Overlap with Autoimmune Diseases: A Systematic Review

Zormpa, T., Thireou, T. N., Beloukas, A. I., Chaniotis, D. I., Golfinopoulou, R., Vlachakis, D., Eliopoulos, E., & Papageorgiou, L. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14113677 · Cited by 15

Microbial and metabolic variations in pH-dependent chain elongation: Co-utilization of lactate and ethanol vs. lactate-based production

Brodowski, F., Gutowska, N., Duber, A., Zagrodnik, R., Lezyk, M. J., & Oleśkowicz-Popiel, P. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.165367 · Cited by 13

Exploring the bacterial communities in date palm roots in saline versus non-saline environment

Rahman, S., Ahmad, M., Aziz, M. A., Alrayssi, T. I., Mohammad, A. S., Alothman, R., & Masmoudi, K. (2025) · BMC Plant Biology · doi:10.1186/s12870-025-06882-3 · Cited by 13

Folate Biofortification in Soybean: Challenges and Prospects

Agyenim‐Boateng, K. G., Zhang, S., Shohag, M. J. I., Shaibu, A. S., Li, J., Li, B., & Sun, J. (2023) · Agronomy · doi:10.3390/agronomy13010241 · Cited by 13

Functional profiles of curatively treated adenoid cystic carcinoma unveil prognostic features and potentially targetable pathways

Romani, C., Lorini, L., Bozzola, A. M., Bignotti, E., Tomasoni, M., Ardighieri, L., Bugatti, M., Battocchio, S., Ravaggi, A., Tomasini, D., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-28901-9 · Cited by 13

Differential expression of pyroptosis-related genes in the hippocampus of patients with Alzheimer’s disease

Xia, P., Ma, H., Chen, J., Liu, Y., Cui, X., Wang, C., Zong, S., Wang, L., Liu, Y., & Lu, Z. (2023) · BMC Medical Genomics · doi:10.1186/s12920-023-01479-x · Cited by 14

Bioinformatics and computational chemistry approaches to explore the mechanism of the anti-depressive effect of ligustilide

Zhang, K., Zhang, C., Teng, X., Wang, K., & Chen, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-32495-7 · Cited by 13

Differential splicing of neuronal genes in a Trem2*R47H mouse model mimics alterations associated with Alzheimer’s disease

Pandey, R. S., Kotredes, K. P., Sasner, M., Howell, G. R., & Carter, G. W. (2023) · BMC Genomics · doi:10.1186/s12864-023-09280-x · Cited by 11

METTL3 enhances dentinogenesis differentiation of dental pulp stem cells via increasing GDF6 and STC1 mRNA stability

Pan, Y., Liu, Y., Cui, D., Yu, S.-H., Zhou, Y., Zhou, X., Du, W. T., Zheng, L., & Wan, M. (2023) · BMC Oral Health · doi:10.1186/s12903-023-02836-z · Cited by 13

Identification of immune cell infiltration and effective biomarkers of polycystic ovary syndrome by bioinformatics analysis

Gao, M., Liu, X., Du, M., Gu, H., Xu, H., & Zhong, X. (2023) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-023-05693-4 · Cited by 13

Weighted gene coexpression correlation network analysis reveals the potential molecular regulatory mechanism of citrate and anthocyanin accumulation between postharvest ‘Bingtangcheng’ and ‘Tarocco’ blood orange fruit

Jin, Y., Liao, M., Li, N., Ma, X., Zhang, H., Han, J., Li, D., Yang, J., Lu, X., Long, G., et al. (2023) · BMC Plant Biology · doi:10.1186/s12870-023-04309-5 · Cited by 13

Identification of novel prognostic circRNA biomarkers in circRNA-miRNA-mRNA regulatory network in gastric cancer and immune infiltration analysis

Yan, J., Ye, G., Jin, Y., Miao, M., Li, Q., & Zhou, H. (2023) · BMC Genomics · doi:10.1186/s12864-023-09421-2 · Cited by 13

Unbalancing Zur (FurB)‐mediated homeostasis in Anabaena sp. PCC7120: Consequences on metal trafficking, heterocyst development and biofilm formation

Olivan‐Muro, I., Sarasa‐Buisan, C., Guío, J., Arenas, J., Sevilla, E., & Fillat, M. F. (2023) · Environmental Microbiology · doi:10.1111/1462-2920.16434 · Cited by 15

Exploring biomarkers of premature ovarian insufficiency based on oxford nanopore transcriptional profile and machine learning

Yu, Z., Li, M., & Peng, W. (2023) · Scientific Reports · doi:10.1038/s41598-023-38754-x · Cited by 14

Transcriptional Profiling Reveals the Wheat Defences against Fusarium Head Blight Disease Regulated by a NAC Transcription Factor

Vranić, M., Perochon, A., & Doohan, F. M. (2023) · Plants · doi:10.3390/plants12142708 · Cited by 13

MAT as a promising therapeutic strategy against triple-negative breast cancer via inhibiting PI3K/AKT pathway

Wei, S., Zhang, Y., Ma, X., Yao, Y., Zhou, Q., Zhang, W., Zhou, C., & Zhuang, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-39655-9 · Cited by 13

Bioinformatics analysis of the immune cell infiltration characteristics and correlation with crucial diagnostic markers in pulmonary arterial hypertension

Lian, G., You, J., Lin, W., Gao, G., Xu, C., Wang, H., & Luo, L. (2023) · BMC Pulmonary Medicine · doi:10.1186/s12890-023-02584-4 · Cited by 13

Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques

Zheng, K., Yang, W., Wang, S., Sun, M., Jin, Z., Zhang, W., Ren, H., & Li, C. (2023) · Scientific Reports · doi:10.1038/s41598-023-40530-w · Cited by 13

Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing

Guo, R., Zhang, W. Y., Shen, W., Zhang, G., Xie, T., Li, L., Jinmei, J., Liu, Y., Kong, F., Guo, B., et al. (2023) · BMC Genomics · doi:10.1186/s12864-023-09575-z · Cited by 13

Cytological observation and RNA-seq analysis reveal novel miRNAs high expression associated with the pollen fertility of neo-tetraploid rice

Li, X., Huang, X., Wen, M., Yin, W., Chen, Y., Liu, Y., & Liu, X. (2023) · BMC Plant Biology · doi:10.1186/s12870-023-04453-y · Cited by 13

Comprehensive genome analysis of Pseudomonas sp. SWRIQ11, a new plant growth-promoting bacterium that alleviates salinity stress in olive

Zamanzadeh-Nasrabadi, S. M., Mohammadiapanah, F., Sarikhan, S., Shariati, V., Saghafi, K., & Hosseini‐Mazinani, M. (2023) · 3 Biotech · doi:10.1007/s13205-023-03755-0 · Cited by 13

Integrated Secondary Metabolomic and Antioxidant Ability Analysis Reveals the Accumulation Patterns of Metabolites in Momordica charantia L. of Different Cultivars

Zhang, Y., Lu, P., Jin, H., Cui, J., Chen, M., He, L., Yu, J., Ding, X., & Zhang, H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914495 · Cited by 20

Serum metabolite profiling reveals metabolic characteristics of sepsis patients using LC/MS-based metabolic profiles: a cross-sectional study

Peng, J., Qiu, C., Zhang, J., & Xiao, X. (2023) · BMC Medical Genomics · doi:10.1186/s12920-023-01666-w · Cited by 13

The endometrial transcriptome transition preceding receptivity to embryo implantation in mice

Chan, H. Y., Tran, H. M., Breen, J., Schjenken, J. E., & Robertson, S. A. (2023) · BMC Genomics · doi:10.1186/s12864-023-09698-3 · Cited by 14

Identification of Ferroptosis-related potential biomarkers and immunocyte characteristics in Chronic Thromboembolic Pulmonary Hypertension via bioinformatics analysis

Lin, J., Lin, S., Zhang, Y., & Liu, W. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03511-5 · Cited by 13

Identification of an exosome-related signature associated with prognosis and immune infiltration in breast cancer

Guo, Q., Pan, K., Qiu, P., Liu, Z., Chen, J., & Lin, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-45325-7 · Cited by 12

FooDrugs: a comprehensive food–drug interactions database with text documents and transcriptional data

Lacruz-Pleguezuelos, B., Piette, O., Garranzo, M., Pérez-Serrano, D., Milešević, J. P., Espinosa‐Salinas, I., de Molina, A. R., Laguna, T., & Pau, E. C. D. S. (2023) · Database · doi:10.1093/database/baad075 · Cited by 13

High USP32 expression contributes to cancer progression and is correlated with immune infiltrates in hepatocellular carcinoma

Xiu, M., Bao, W.-F., Wang, J.-L., Chen, J.-D., Li, Y.-D., & Hai, Y. (2023) · BMC Cancer · doi:10.1186/s12885-023-11617-4 · Cited by 10

The Integration of the Metabolome and Transcriptome for Dendrobium nobile Lindl. in Response to Methyl Jasmonate

Gong, D., Li, B., Wu, B., Fu, D., Li, Z.-S., Wei, H., Guo, S., Ding, G., & Wang, B. (2023) · Molecules · doi:10.3390/molecules28237892 · Cited by 13

Effect of 40 Hz light flicker on cognitive impairment and transcriptome of hippocampus in right unilateral common carotid artery occlusion mice

Niu, Z., Yu, M.-J., Xu, P., Liu, R., Li, S., Wu, C., Huang, B., Ye, X., Hu, J., Xu, Y., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-48897-6 · Cited by 14

Permafrost microbial communities follow shifts in vegetation, soils, and megafauna extinctions in Late Pleistocene NW North America

Murchie, T. J., Long, G. S., Lanoil, B., FROESE, D. G., & Poinar, H. N. (2023) · Environmental DNA · doi:10.1002/edn3.493 · Cited by 13

Evolutionary rate covariation is a reliable predictor of co-functional interactions but not necessarily physical interactions

Little, J., Chikina, M. D., & Clark, N. L. (2023) · eLife · doi:10.7554/elife.93333 · Cited by 13

Analysis of environmental biological effects and OBT accumulation potential of microalgae in freshwater systems exposed to tritium pollution

Lai, J.-L., Li, Z.-G., Han, M., Yan, H., Xi, H.-L., & Luo, X. (2023) · Water Research · doi:10.1016/j.watres.2023.121013 · Cited by 13

Bacteriophage endolysin treatment for systemic infection of Streptococcus iniae in hybrid striped bass

Deshotel, M. B., Dave, U. M., Farmer, B. D., Kemboi, D., & Nelson, D. C. (2023) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2023.109296 · Cited by 13

Biosynthesis mechanisms of medium-chain carboxylic acids and alcohols in anaerobic microalgae fermentation regulated by pH conditions

Shi, X., Wei, W., Wu, L., Huang, Y., & Ni, B. (2023) · Applied and Environmental Microbiology · doi:10.1128/aem.01250-23 · Cited by 14

Bioinformatics analysis of hub genes as osteoarthritis prognostic biomarkers

Zeng, J., Jiang, X., Jiang, M., Cao, Y., & Jiang, Y. W. (2023) · Scientific Reports · doi:10.1038/s41598-023-48446-1 · Cited by 13

Heterologous overexpression of heat shock protein 20 genes of different species of yellow Camellia in Arabidopsis thaliana reveals their roles in high calcium resistance

Zhong, L., Shi, Y., Xu, S., Xie, S., Huang, X., Li, Y., Qu, C., Liu, J., Liao, J., Huang, Y., et al. (2024) · BMC Plant Biology · doi:10.1186/s12870-023-04686-x · Cited by 13

Deficiency of the lipid flippase ATP10A causes diet-induced dyslipidemia in female mice

Norris, A. C., Yazlovitskaya, E. M., Zhu, L., Rose, B. S., May, J. C., Gibson-Corley, K. N., MCLEAN, J. A. J., Stafford, J. M., & Graham, T. R. (2024) · Scientific Reports · doi:10.1038/s41598-023-50360-5 · Cited by 13

Identification of CD8+ T-cell exhaustion signatures for prognosis in HBV-related hepatocellular carcinoma patients by integrated analysis of single-cell and bulk RNA-sequencing

Li, J., Chen, H., Bai, L., & Tang, H. (2024) · BMC Cancer · doi:10.1186/s12885-023-11804-3 · Cited by 13

Hypoxia Modulates Radiosensitivity and Response to Different Radiation Qualities in A549 Non-Small Cell Lung Cancer (NSCLC) Cells

Nisar, H., Labonté, F. M., Roggan, M. D., Schmitz, C., Chevalier, F., Konda, B., Diegeler, S., Baumstark‐Khan, C., & Hellweg, C. E. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25021010 · Cited by 13

The Role of Structural Bioinformatics in Understanding Tumor Necrosis Factor α-Interacting Protein Mechanisms in Chronic Inflammatory Diseases: A Review

Bastos, L. L., Mariano, D., Lemos, R. P., Bialves, T. S., Oliveira, C. J. F., & de Melo-Minardi, R. C. (2024) · Immuno · doi:10.3390/immuno4010002 · Cited by 16

Prediction of Drug-Target Interactions With High- Quality Negative Samples and a Network-Based Deep Learning Framework

Cheng, Z., Xu, D., Ding, D., & Ding, Y. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3354953 · Cited by 13

Multi-omic analyses of m5C readers reveal their characteristics and immunotherapeutic proficiency

Xu, R. J., Wang, Y., & Kuang, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-52110-7 · Cited by 13

Genomic characterization of WRKY transcription factors related to secoiridoid biosynthesis in Gentiana macrophylla

Yin, Y., Fu, H., Mi, F., Yang, Y. J., Wang, Y., Li, Z., He, Y., & Yue, Z. (2024) · BMC Plant Biology · doi:10.1186/s12870-024-04727-z · Cited by 13

Network pharmacology study to explore the multiple molecular mechanism of SH003 in the treatment of non-small cell lung cancer

Lee, K., Choi, Y., Lim, H.-I., Cho, K.-J., Kang, N., & Ko, S. (2024) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-024-04347-y · Cited by 13

Population structure and adaptability analysis of Schizothorax o’connori based on whole-genome resequencing

Gao, K., He, Z., Xiong, J., Chen, Q., Lai, B., Liu, F., Chen, P., Chen, M., Luo, W., Huang, J., et al. (2024) · BMC Genomics · doi:10.1186/s12864-024-09975-9 · Cited by 13

FAIR Data and Software: Improving Efficiency and Quality of Biocatalytic Science

Pleiss, J. (2024) · ACS Catalysis · doi:10.1021/acscatal.3c06337 · Cited by 13

Identification of candidate genes and residues for improving nitrogen use efficiency in the N-sensitive medicinal plant Panax notoginseng

Cun, Z., Li, X., Zhang, J., Hong, J., Gao, L.-L., Yang, J., Ma, S.-Y., & Chen, J. (2024) · BMC Plant Biology · doi:10.1186/s12870-024-04768-4 · Cited by 13

Contrasting plant transcriptome responses between a pierce-sucking and a chewing herbivore go beyond the infestation site

Montesinos, Á., Sacristán, S., del Prado-Polonio, P., Arnáiz, A., Díaz-González, S., Dı́az, I., & Santamaria, M. E. (2024) · BMC Plant Biology · doi:10.1186/s12870-024-04806-1 · Cited by 13

A disulfidptosis-related lncRNA signature for predicting prognosis and evaluating the tumor immune microenvironment of lung adenocarcinoma

Song, Z., Cao, X., Wang, X., Li, Y., Zhang, W., Wang, Y., & Chen, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-55201-7 · Cited by 13

Regulation of endogenous hormone and miRNA in leaves of alfalfa (Medicago sativa L.) seedlings under drought stress by endogenous nitric oxide

Ruan, Q., Bai, X., Wang, Y., Zhang, X., Wang, B., Zhao, Y., Zhu, X., & Wei, X. (2024) · BMC Genomics · doi:10.1186/s12864-024-10024-8 · Cited by 13

Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS

Trimbour, R., Deutschmann, I. M., & Cantini, L. (2024) · Bioinformatics · doi:10.1093/bioinformatics/btae143 · Cited by 13

Identification of diagnostic markers for moyamoya disease by combining bulk RNA-sequencing analysis and machine learning

Xu, Y., Chen, B., Guo, Z., Chen, C., Wang, C., Zhou, H., Zhang, C., & Feng, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-56367-w · Cited by 13

Extracellular vesicles from virulent P. brasiliensis induce TLR4 and dectin-1 expression in innate cells and promote enhanced Th1/Th17 response

Borges, B. M., de Santana, M. G., Preite, N. W., Kaminski, V. D. L., Trentin, G., Almeida, F. B. D. R., & Loures, F. V. (2024) · Virulence · doi:10.1080/21505594.2024.2329573 · Cited by 13

Cockayne Syndrome Patient iPSC-Derived Brain Organoids and Neurospheres Show Early Transcriptional Dysregulation of Biological Processes Associated with Brain Development and Metabolism

Szepanowski, L.-P., Wruck, W., Kapr, J., Rossi, A., Fritsche, E., Krutmann, J., & Adjaye, J. (2024) · Cells · doi:10.3390/cells13070591 · Cited by 15

Lupus dermal fibroblasts are proinflammatory and exhibit a profibrotic phenotype in scarring skin disease

Shoffner, S. K., Close, L. A., Lazar, S., Ma, F., Gharaee‐Kermani, M., Hurst, A., Dobry, C. J., Pandian, D., Wasikowski, R., Victory, A. M., et al. (2024) · JCI Insight · doi:10.1172/jci.insight.173437 · Cited by 13

Machine-learning prediction of a novel diagnostic model using mitochondria-related genes for patients with bladder cancer

Li, J., Wang, Z., & Wang, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-60068-9 · Cited by 13

A multi-omics analysis-based model to predict the prognosis of low-grade gliomas

Du, Z., Jiang, Y.-H., Yang, Y., Kang, X., Yan, J., Liu, B., & Yang, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-58434-8 · Cited by 13

Greenhouse covering cultivation promotes chlorophyll accumulation of tea plant (Camellia sinensis) by activating relevant gene expression and enzyme activity

Ma, X., Liu, J., Li, H., Wang, W., Liu, L., Wang, P., Hu, J., Zhang, X., & Qu, F. (2024) · BMC Plant Biology · doi:10.1186/s12870-024-05149-7 · Cited by 13

Biocontrol potential of endophytic Bacillus subtilis A9 against rot disease of Morchella esculenta

Chen, X., Zhang, Y., Chao, S., Song, L., Wu, G., Sun, Y. F., Chen, Y., & Lv, B. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1388669 · Cited by 13

Fusobacterium species are distinctly associated with patients with Lynch syndrome colorectal cancer

Salim, F., Mizutani, S., Shiba, S., Takamaru, H., Yamada, M., Nakajima, T., Yachida, T., Soga, T., Saitō, Y., Fukuda, S., et al. (2024) · iScience · doi:10.1016/j.isci.2024.110181 · Cited by 14

The GA and ABA signaling is required for hydrogen-mediated seed germination in wax gourd

Chang, J., Li, J., Li, J., Chen, X. D., Jiao, J., Li, J., Song, Z., & Zhang, B. (2024) · BMC Plant Biology · doi:10.1186/s12870-024-05193-3 · Cited by 13

Integrated transcriptome and metabolomics analyses revealed key functional genes in Canna indica under Cr stress

Zhu, S., Zhao, W., Sheng, L., Yang, X., Mao, H., Sun, S., & Chen, Z. (2024) · Scientific Reports · doi:10.1038/s41598-024-64877-w · Cited by 13

The Role of Cuproptosis Key Factor FDX1 in Gastric Cancer

Zhao, Q., Yu, M., Du, X., Li, Y., Lv, J., Jiang, X., Chen, X., Wang, A., & Yang, X. (2024) · Current Pharmaceutical Biotechnology · doi:10.2174/0113892010301997240527162423 · Cited by 13

Network pharmacology and molecular dynamics study of the effect of the Astragalus-Coptis drug pair on diabetic kidney disease

Zhang, M., & Zheng, S. (2024) · World Journal of Diabetes · doi:10.4239/wjd.v15.i7.1562 · Cited by 13

Proteomic insights into extracellular vesicles in ALS for therapeutic potential of Ropinirole and biomarker discovery

Kato, C., Ueda, K., Morimoto, S., Takahashi, S., Nakamura, S., Ozawa, F., Ito, D., Daté, Y., Okada, K., Kobayashi, N., et al. (2024) · Inflammation and Regeneration · doi:10.1186/s41232-024-00346-1 · Cited by 13

Circular RNAs mediate the regulation of maternal placental nutrient transport and fetal development by sugar-sweetened beverages

He, T., Yuan, Z., Chen, Q., Luo, J., Mao, J., Yang, Y., Cao, K., & Yang, Z. (2024) · Food Research International · doi:10.1016/j.foodres.2024.114856 · Cited by 13

Role of Rubus chingii BBX gene family in anthocyanin accumulation during fruit ripening

Xu, Z., Zhang, G., Chen, J., Ying, Y., Yao, L., Li, X., da Silva, J. A. T., & Yu, Z. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1427359 · Cited by 13

Comprehensive genetic diversity and genome-wide association studies revealed the genetic basis of avocado fruit quality traits

Li, J., Eltaher, S., Freeman, B., Singh, S., & Ali, G. S. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1433436 · Cited by 13

Molecular mechanisms regulating glucose metabolism in quinoa (Chenopodium quinoa Willd.) seeds under drought stress

Wang, C., Lu, C., Wang, J., Liu, X., Wei, Z., Qin, Y., Zhang, H., Wang, X., Wei, B., Lv, W., et al. (2024) · BMC Plant Biology · doi:10.1186/s12870-024-05510-w · Cited by 13

Investigating immune dysregulation and hub genes in septic cardiomyopathy development

Li, W., Hua, S., Yang, J., Cao, Y., Gao, R., Sun, H., Yang, K., Wang, Y., & Peng, P. (2024) · Scientific Reports · doi:10.1038/s41598-024-72724-1 · Cited by 13

Agricultural management reshaped the diversity patterns and community assembly of rhizosphere bacterial communities in a desert farming system

Lian, W., Li, M.-X., Yue, L.-X., Li, S., Lin, Z., Hu, C., Han, J.-R., Li, W., & Dong, L. H. (2024) · Applied Soil Ecology · doi:10.1016/j.apsoil.2024.105656 · Cited by 13

miRNASNP-v4: a comprehensive database for miRNA-related SNPs across 17 species

Cao, W., He, J., Feng, J., Wu, X., Wu, T., Wang, D., Min, C., Niu, X., Gao, Z., Guo, A., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae888 · Cited by 17

Non-electrophilic NRF2 activators promote wound healing in human keratinocytes and diabetic mice and demonstrate selective downstream gene targeting

Barakat, M., Chen, H., Chen, L., David, B. P., Shi, J., Xu, A., Skowron, K. J., Johnson, T., Woods, R. A., Ankireddy, A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-75786-3 · Cited by 14

LCoRL Regulates Growth and Metabolism

Wyler, S. C., Gahlot, S., Bideyan, L., Yip, C., Dushime, J., Chen, B., Lee, J. J., Tinajero, A., Limboy, C., Bordash, S., et al. (2024) · Endocrinology · doi:10.1210/endocr/bqae146 · Cited by 14

Revealing molecular mechanisms of early-onset tongue cancer by spatial transcriptomics

Patysheva, M. R., Сергеевна, К. Е., Khozyainova, A. A., Prostakishina, E. A., Korobeynikov, V., Menyailo, M. E., Iamshchikov, P. S., Loos, D. M., Kovalev, O. I., Zavyalova, M. V., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-76044-2 · Cited by 16

GCM and gcType in 2024: comprehensive resources for microbial strains and genomic data

Fan, G., Sun, Q., Sun, Y., Liu, D., Li, S., Li, M., Chen, Q., Wang, F., Ohkuma, M., Itoh, T., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae1057 · Cited by 13

Dissecting metabolic landscape of alveolar macrophage

Malla, S., Sajeevan, K. A., Acharya, B., Chowdhury, R., & Saha, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-81253-w · Cited by 15

Microbial communities in biosolids-amended soils: A critical review of high-throughput sequencing approaches

Reid, C. J., Farrell, M., & Kirby, J. K. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.124203 · Cited by 14

Identification of 17 novel epigenetic biomarkers associated with anxiety disorders using differential methylation analysis followed by machine learning-based validation

Kwon, Y., Blažytė, A., Jeon, Y., Kim, Y. J., An, K., Jeon, S., Ryu, H., Shin, D.-H., Ahn, J.-H., Um, H., et al. (2025) · Clinical Epigenetics · doi:10.1186/s13148-025-01819-x · Cited by 12

Pseudomonas aeruginosa promoted microbial fuel cells for cytidine acid production wastewater treatment

Yin, X., Wang, F., Ge, M., Zhang, F., & Liang, G. (2025) · Scientific Reports · doi:10.1038/s41598-025-90361-0 · Cited by 13

Identifying and validating immunological biomarkers in obstructive sleep apnea through bioinformatics analysis

Zhou, E., Zhou, T., Wang, X., Zhang, J., Guan, J., Yin, S., Huang, W., Yi, H., & Zou, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-93915-4 · Cited by 13

ERAP1 Activity Modulates the Immunopeptidome but Also Affects the Proteome, Metabolism, and Stress Responses in Cancer Cells

Nikopaschou, M., Samiotaki, M. K., Stylianaki, E.-A., Król, K., Gragera, P., Raja, A., Aidinis, V., Chroni, A., Fruci, D., Panayotou, G., et al. (2025) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2025.100964 · Cited by 13

Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research

Gholap, A. D., & Omri, A. (2025) · Drug Discovery Today · doi:10.1016/j.drudis.2025.104362 · Cited by 15

Comparative transcriptome analysis of skin color-associated genes in leopard coral grouper (Plectropomus leopardus)

Wu, H., Chen, K.-S., Huang, Y.-S., Hsieh, H. J., & Tsai, H. (2023) · BMC Genomics · doi:10.1186/s12864-022-09091-6 · Cited by 13

Deciphering the mechanisms of Yinlan Tiaozhi capsule in treating hyperlipidemia by combining network pharmacology, molecular docking and experimental verification

Xiao, G., Hu, Z., Jia, C., Yang, M., Li, D., Xu, A., Jiang, J., Chen, Z., Li, Y., Li, S., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-33673-3 · Cited by 13

Proteogenomic characterization of ferroptosis regulators reveals therapeutic potential in glioblastoma

Wang, X., Zhang, H., Zhang, M., Zhang, X., Mao, W., & Gao, M. (2023) · BMC Cancer · doi:10.1186/s12885-023-10894-3 · Cited by 13

A novel nomogram based on cell cycle-related genes for predicting overall survival in early-onset colorectal cancer

Xiang, M., Gao, Y., Zhou, Y., Wang, M., & Yao, X. (2023) · BMC Cancer · doi:10.1186/s12885-023-11075-y · Cited by 13

Global comparative transcriptomes uncover novel and population-specific gene expression in esophageal squamous cell carcinoma

Alotaibi, A., Gadekar, V. P., Gundla, P. S., Mandarthi, S., Jayendra, N., Tungekar, A., Lavanya, B., Bhagavath, A. K., Cordero, M. A. W., Pitkäniemi, J. M., et al. (2023) · Infectious Agents and Cancer · doi:10.1186/s13027-023-00525-8 · Cited by 13

KEGG: biological systems database as a model of the real world

Kanehisa, M. I., Furumichi, M., Sato, Y., Matsuura, Y., & Ishiguro-Watanabe, M. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae909 · Cited by 2,634

Overview of KEGG applications to omics-related research

Aoki-Kinoshita, K. F. (2006) · Journal of Pesticide Science · doi:10.1584/jpestics.31.296 · Cited by 26

Gene Annotation and Pathway Mapping in KEGG

Aoki-Kinoshita, K. F., & Kanehisa, M. I. (2007) · Methods in molecular biology · doi:10.1007/978-1-59745-515-2_6 · Cited by 310

KEGG mapping tools for uncovering hidden features in biological data

Kanehisa, M. I., Sato, Y., & Kawashima, M. (2021) · Protein Science · doi:10.1002/pro.4172 · Cited by 749

KEGG: Kyoto Encyclopedia of Genes and Genomes

Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077