The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
KEGG for taxonomy-based analysis of pathways and genomes
Open accessAbstract
KEGG (https://www.kegg.jp) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health information. Each object (database entry) is identified by the KEGG identifier (kid), which generally takes the form of a prefix followed by a five-digit number, and can be retrieved by appending /entry/kid in the URL. The KEGG pathway map viewer, the Brite hierarchy viewer and the newly released KEGG genome browser can be launched by appending /pathway/kid, /brite/kid and /genome/kid, respectively, in the URL. Together with an improved annotation procedure for KO (KEGG Orthology) assignment, an increasing number of eukaryotic genomes have been included in KEGG for better representation of organisms in the taxonomic tree. Multiple taxonomy files are generated for classification of KEGG organisms and viruses, and the Brite hierarchy viewer is used for taxonomy mapping, a variant of Brite mapping in the new KEGG Mapper suite. The taxonomy mapping enables analysis of, for example, how functional links of genes in the pathway and physical links of genes on the chromosome are conserved among organism groups.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Data leakage has a significant impact, and Kapoor and Narayanan describe it as a reproducibility crisis in ML science (76).”
From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [76]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“In their analysis, data leakage was detected in 15 of the 20 subject areas associated with biology or medicine.”
From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [76]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Database resources of the National Center for Biotechnology Information: update
Wheeler, D. L. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,695
O'Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., Rajput, B., Robbertse, B., Smith-White, B., Ako-Adjei, D., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1189 · Cited by 6,357
Whole-Genome Random Sequencing and Assembly of Haemophilus influenzae Rd
Fleischmann, R. D., Adams, M. D., White, O. R., Clayton, R. A., Kirkness, E. F., Kerlavage, A. R., Bult, C. J., Tomb, J.-F., Dougherty, B. A., Merrick, J. M., et al. (1995) · Science · doi:10.1126/science.7542800 · Cited by 5,731
Toward understanding the origin and evolution of cellular organisms
Kanehisa, M. (2019) · Protein Science · doi:10.1002/pro.3715 · Cited by 5,509 · cited 2×
“It is hoped that this latter aspect will further be improved to enable a better understanding of more fundamental problems, such as how molecular network systems were developed in the cell, coevolved with the genome and transmitted to extant species (3).”
BackgroundSelf-citationKEGG: integrating viruses and cellular organisms
Kanehisa, M., Furumichi, M., Sato, Y., Ishiguro-Watanabe, M., & Tanabe, M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa970 · Cited by 3,436
Self-citationDatabase resources of the national center for biotechnology information
Sayers, E. W., Bolton, E. E., Brister, J. R., Canese, K., Chan, J., Comeau, D. C., Connor, R., Funk, K., Kelly, C., Kim, S., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1112 · Cited by 2,812
Federhen, S. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1178 · Cited by 1,436
Virus taxonomy: the database of the International Committee on Taxonomy of Viruses (ICTV)
Lefkowitz, E. J., Dempsey, D. M., Hendrickson, R. C., Orton, R. J., Siddell, S. G., & Smith, D. B. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx932 · Cited by 1,230
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
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 901–1,000 of 1,010
Li, Y., Li, J., He, T., Song, Y. J., Wu, J., & Wang, B. (2022) · Genes · doi:10.3390/genes13122331 · Cited by 12
Zampolli, J., Collina, E. M., Lasagni, M., & Gennaro, P. D. (2024) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2024.1472309 · Cited by 12
Marzouk, N. H., Selim, S., Elattar, M., Mabrouk, M. S., & Mysara, M. (2025) · Journal of Cheminformatics · doi:10.1186/s13321-025-01093-2 · Cited by 17
Peng, J., Mavrodi, D. V., Li, J., Egan, S., Zhang, H., Fan, X., Liu, Y., Dang, K., Mavrodi, O. V., Liu, Q., et al. (2025) · The ISME Journal · doi:10.1093/ismejo/wraf210 · Cited by 12
Ripa, J. D., Ghumro, S. A., Field, M. A., Smithson, J., & Wangchuk, P. (2025) · Pharmaceuticals · doi:10.3390/ph18101536 · Cited by 12
Bezabhe, Y. H., Nassazzi, W., Tapase, S. R., Ahrens, L., & Jaß, J. (2025) · Applied Soil Ecology · doi:10.1016/j.apsoil.2025.106561 · Cited by 11
Du, Y., Li, J., Cai, C. Y. L., Gong, F., Zhou, G., Liu, F., Wu, Q., & Liu, F. (2023) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-023-03880-6 · Cited by 11
GelFAP v2.0: an improved platform for Gene functional analysis in Gastrodia elata
Yang, J., Li, P., Li, Y., & Xiao, Q. (2023) · BMC Genomics · doi:10.1186/s12864-023-09260-1 · Cited by 11
Han, W., Wang, Y., Li, H., Diao, S., Suo, Y., Lı, T., Sun, P., Li, F., & Fu, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24108599 · Cited by 11
Tang, F., Liu, L., Tian, X., Li, N., Peng, Y., Qian, C., Jia, T.-T., Liu, J., Gao, W., & Xu, Y. (2023) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-023-04008-6 · Cited by 11
Liu, X., Liu, X., Wang, X., Shang, K., Li, J., Lan, Y., Wang, J., Li, J., Yue, B., He, M., et al. (2023) · BMC Genomics · doi:10.1186/s12864-023-09404-3 · Cited by 11
Transcriptional profile of Trichomonas vaginalis in response to metronidazole
Xie, Y., Zhong, P., Guan, W., Zhao, Y., Yang, S., Shao, Y., & Li, J. (2023) · BMC Genomics · doi:10.1186/s12864-023-09339-9 · Cited by 11
Comparative analysis of commonly used bioinformatics software based on omics
Xu, M., Xu, C., Chen, M., Xiao, Z., Wang, Y., Ya, X., & Xu, D. (2023) · Gene Reports · doi:10.1016/j.genrep.2023.101800 · Cited by 11
Li, J., Zhao, Y., Zhang, Y., Feng, Y., Hou, Z., Zhang, Y., Hao, L., Li, G., Shao, J., & Tan, M. (2023) · BMC Genomics · doi:10.1186/s12864-023-09399-x · Cited by 13
Programming Cell‐Derived Vesicles with Enhanced Immunomodulatory Properties
Neupane, K. R., Ramon, G. S., Harvey, B. T., Chun, B. J., Aryal, S. P., Masud, A. A., McCorkle, J. R., Kolesar, J., Kekenes-Huskey, P. M., & Richards, C. I. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202301163 · Cited by 10
Zhang, S., Niu, Q., Lin, T., Liu, S., Wang, P., Xu, H., Li, B., & Zhang, H. (2023) · BMC Genomics · doi:10.1186/s12864-023-09519-7 · Cited by 11
Dietary polyphenols drive dose-dependent behavioral and molecular alterations to repeated morphine
Osman, A., Hofford, R. S., Meckel, K. R., Dave, Y. A., Zeldin, S. M., Shipman, A. L., Lucerne, K. E., Trageser, K. J., Oguchi, T., Kiraly, D. D., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-39334-9 · Cited by 11
Sreekumar, A., Simmons, M. N., Lee, T. J., Sharma, A. K., & Saini, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-39511-w · Cited by 11
Meta-analysis of transcriptome reveals key genes relating to oil quality in olive
Asadi, A., Shariati, V., Mousavi, S., Mariotti, R., & Mazinani, M. H. (2023) · BMC Genomics · doi:10.1186/s12864-023-09673-y · Cited by 12
Chen, Y., Deng, Q., Chen, H., Yang, J., Chen, Z., Li, J., & Fu, Z. (2023) · Scientific Reports · doi:10.1038/s41598-023-43495-y · Cited by 11
Geographical Indication Characteristics of Aroma and Phenolic Acids of the Changping Strawberry
Wu, L., Wang, X., Hao, J., Zhu, N., & Wang, M. (2023) · Foods · doi:10.3390/foods12213889 · Cited by 11
Li, S., Wang, W., Yu, H., Zhang, S., Bi, W., Sun, S., Hong, B., Fang, Z., & Chen, X. (2023) · BMC Cancer · doi:10.1186/s12885-023-11580-0 · Cited by 11
Enany, S., Tartor, Y. H., Kishk, R. M., Gadallah, A. M., Ahmed, E., & Magdeldin, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-47976-y · Cited by 11
Zhang, Y., Lao, W., Yang, K., Kong, X., Li, Y., Yu, X., Wang, X., Liu, Y., Li, Z., Deng, Y., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-11633-4 · Cited by 11
Poly-omic risk scores predict inflammatory bowel disease diagnosis
Arehart, C. H., Sterrett, J. D., Garris, R. L., Quispe-Pilco, R. E., Gignoux, C. R., Evans, L. M., & Stanislawski, M. A. (2023) · mSystems · doi:10.1128/msystems.00677-23 · Cited by 11
Han, Y., Yuan, H. Y., Li, F., Yuan, Y., Zheng, X., Zhang, X., & Sun, J. (2023) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-023-04289-x · Cited by 11
Xu, G., Zhang, W., Yang, J., Sun, N., & Qu, X. (2023) · Scientific Reports · doi:10.1038/s41598-023-50488-4 · Cited by 11
Sandell, F. L., Holzweber, T., Street, N. R., Dohm, J. C., & Himmelbauer, H. (2024) · Plant Biotechnology Journal · doi:10.1111/pbi.14267 · Cited by 14
Huang, J., Li, B., Wei, H., Li, C., Liu, C., Mi, H., & Chen, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-52276-0 · Cited by 11
Qiao, X., Li, X., Wang, Z., Feng, Y., Wei, X., Li, L., Pan, Y., Zhang, K., Zhou, R., Yan, L., et al. (2024) · Aging · doi:10.18632/aging.205396 · Cited by 11
Chen, X., Meng, C., Wang, X., Wu, Z., Sun, X., Sun, C., Zheng, L., Li, W., Jia, W., & Tang, T. (2024) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-023-05600-6 · Cited by 11
Sarasa‐Buisan, C., Nieves‐Morión, M., Arévalo, S., Helm, R. F., Sevilla, E., Luque, I., & Fillat, M. F. (2024) · mBio · doi:10.1128/mbio.03231-23 · Cited by 11
Contriciani, R. E., Grade, C. V. C., Leite, I. B., da Veiga, F. C., Ledur, M. C., Reverter, A., Alexandre, P. A., César, A. S. M., Coutinho, L. L., & Alvares, L. E. (2024) · BMC Genomics · doi:10.1186/s12864-024-10083-x · Cited by 11
Ge, W., Yuan, G., Wang, D., & Li, D. (2024) · Scientific Reports · doi:10.1038/s41598-024-53442-0 · Cited by 11
Popescu, R. G., Dinischiotu, A., Soare, T., Vlase, E., & Marinescu, G. C. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25052594 · Cited by 12
Shen, J., Liang, J., Rejiepu, M., Ma, Z., Zhao, J., Li, J., Zhang, L., Yuan, P., Wang, J., & Tang, B. (2024) · Scientific Reports · doi:10.1038/s41598-024-55613-5 · Cited by 11
Gene expression analyses reveal differences in children’s response to malaria according to their age
Tebben, K., Yirampo, S., Coulibaly, D. M., Kone, A. K., Laurens, M. B., Stucke, E. M., Dembélé, A., Tolo, Y., Traoré, K., Niangaly, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46416-3 · Cited by 10
Sharma, B., Sharma, S., Medicherla, K. M., & Reddy, S. M. (2024) · Current Microbiology · doi:10.1007/s00284-024-03625-9 · Cited by 11
Houtak, G., Nepal, R., Bouras, G. S., Shaghayegh, G., Bennett, C. M., Finnie, J. W., Fenix, K. A., Psaltis, A. J., Wormald, P., & Vreugde, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25063402 · Cited by 11
Identification of an early survival prognostic gene signature for localized osteosarcoma patients
Patel, T. D., Grimm, S. L., Kanchi, R. S., Gandhi, T., Koirala, A., Yustein, J. T., & Coarfa, C. (2024) · Scientific Reports · doi:10.1038/s41598-024-57527-8 · Cited by 12
Hypoxia treatment and resistance training alters microRNA profiling in rats skeletal muscle
Mei, T., Hu, Y., Zhang, Y., & Li, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-58996-7 · Cited by 10
A cross-disease, pleiotropy-driven approach for therapeutic target prioritization and evaluation
Bao, C., Tan, T., Wang, S., Gao, C., Lu, C., Yang, S., Diao, Y., Jiang, L., Jing, D., Chen, L., et al. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100757 · Cited by 11
Huang, C., Jiang, Y., Bao, Q., Wang, L., Tang, L., Liu, Y., & Yang, L. (2024) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-024-04463-9 · Cited by 11
Determinants of bacterial survival and proliferation in blood
Lê-Bury, P., Echenique-Rivera, H., Pizarro‐Cerdá, J., & Dussurget, O. (2024) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuae013 · Cited by 12
Zavvarian, M.-M., Modi, A. D., Sadat, S., Hong, J., & Fehlings, M. G. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115708 · Cited by 12
Mares-Quiñones, M. D., Galán-Vásquez, E., Pérez‐Rueda, E., Pérez-Ishiwara, D. G., Medel-Flores, M. O., & Gómez-García, M. D. C. (2024) · Scientific Reports · doi:10.1038/s41598-024-61908-4 · Cited by 11
Knockout mice with pituitary malformations help identify human cases of hypopituitarism
Martinez-Mayer, J., Brinkmeier, M. L., O’Connell, S. P., Ukagwu, A. E., Marti, M. A., Miras, M. B., Forclaz, M. V., Benzrihen, M. G., Cheung, L., Camper, S. A., et al. (2024) · Genome Medicine · doi:10.1186/s13073-024-01347-y · Cited by 9
Peng, Z., Ahsan, N., & Yang, Z. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00338 · Cited by 10
Liu, C., Zhuo, Y., Yang, X., Chen, Y., Shu, M., Hou, B., Hou, J., Chen, X., Wang, L., & Wu, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-67021-w · Cited by 11
DeFreitas, M. J., Shelton, E. L., Schmidt, A. F. S., Ballengee, S., Tian, R., Chen, P., Sharma, M., Levine, A., Katzovic, E. D., Rojas, C., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-65844-1 · Cited by 11
Buakaew, W., Krobthong, S., Yingchutrakul, Y., Khamto, N., Sutana, P., Potup, P., Thongsri, Y., Daowtak, K., Ferrante, A., Léon, C., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25168995 · Cited by 12
Rushendran, R., & Chitra, V. (2024) · Scientific Reports · doi:10.1038/s41598-024-70933-2 · Cited by 11
Du, B., Zhang, Y., Zhang, P., Zhang, M., Yu, Z., Li, L., Hou, L., Wang, Q., Zhang, X., & Zhang, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-71211-x · Cited by 11
Sudarshan, A., Dai, Z., Gabrielli, M., Oosthuizen-Vosloo, S., Konstantinidis, K., & Pinto, A. (2024) · bioRxiv · doi:10.1021/acs.est.4c05086 · Cited by 8
Guo, Q., Qiu, P., Pan, K., Liang, H., Liu, Z., & Lin, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-72406-y · Cited by 11
Wu, T., Shi, W., Zhou, Y., Guo, S., Tian, H., Jiang, Y., Li, W., Wang, Y., & Li, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-72941-8 · Cited by 11
Si, Y., Zhao, Z., Meng, X., & Zhao, K. (2024) · Scientific Reports · doi:10.1038/s41598-024-74336-1 · Cited by 11
Subramanian, G., Fanai, H. L., Chand, J., Ahmad, S. F., Attia, S. M., & Emran, T. B. (2024) · Scientific Reports · doi:10.1038/s41598-024-75603-x · Cited by 11
Hu, Z., Li, Y., Yang, J., Liu, J., Zhou, H., Sun, C., Tian, C., Zhu, C., Shao, M., Wang, S., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-72888-w · Cited by 11
Kimura, H., Kamiyama, K., Imamoto, T., Takeda, I., Kobayashi, M., Takahashi, N., Kasuno, K., Sugaya, T., & Iwano, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-75229-z · Cited by 11
Prediction of Oral Cancer Biomarkers by Salivary Proteomics Data
Remori, V., Airoldi, M., Alberio, T., Fasano, M., & Azzi, L. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252011120 · Cited by 11
Rajasekaran, S., Cheng, S., Gajendran, N., Shekoohi, S., Chesnokova, L. S., Yu, X., & Witt, S. N. (2024) · Scientific Reports · doi:10.1038/s41598-024-78777-6 · Cited by 13
Liang, S., Xu, D., Wu, J., Jiang, Q., & Zeng, Y. (2024) · Scientific Reports · doi:10.1038/s41598-024-79350-x · Cited by 11
Wang, C., Zeng, Y., Wang, J., Wang, T., Li, X., Shen, Z., Jun, M., & Yao, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-79014-w · Cited by 11
Ping, Y., Li, J., Xie, L., Zhao, J., Chen, X., Chen, D., Wang, Y., Jiang, C., & Li, X. (2024) · Brain Research · doi:10.1016/j.brainres.2024.149381 · Cited by 11
Chen, Y.-P., Chen, C.-Y. O., Wu, H., He, Q., Wu, J., Yao, J.-Y., & Chen, F. (2025) · Food Chemistry · doi:10.1016/j.foodchem.2024.142718 · Cited by 13
FN1 shapes the behavior of papillary thyroid carcinoma through alternative splicing of EDB region
Liu, M., Chen, P., Wei, B., Tan, H., Zhao, Y., Ai, L., Li, N., Jiang, Y.-K., Lin, J., Li, S., et al. (2025) · Scientific Reports · doi:10.1038/s41598-024-83369-5 · Cited by 11
Zhou, T., Zhang, D. D., Jin, J., Xie, J., Yu, J., Zhu, C., & Wan, R. (2025) · Scientific Reports · doi:10.1038/s41598-024-84553-3 · Cited by 11
Li, C., Wang, F., Mao, Y., Ma, Y., & Guo, Y. (2025) · BMC Genomics · doi:10.1186/s12864-024-11067-7 · Cited by 11
Ghiotto, G., Bernardini, N. D., Orellana, E., Fiorito, G., Cenci, L., Kougias, P., Campanaro, S., & Treu, L. (2025) · npj Biofilms and Microbiomes · doi:10.1038/s41522-025-00649-2 · Cited by 11
Metabolic and transcriptional analysis of tuber expansion in Curcuma kwangsiensis
Zhou, Y., Yao, L., Xie, Y., Huang, B., Li, Y., Huang, X., Yu, L., & Pan, C. (2025) · Scientific Reports · doi:10.1038/s41598-024-84763-9 · Cited by 11
Ma, Y., Wu, S., Lai, J., Wan, Q., Hu, J., Liu, Y., Zhou, Z., & Wu, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-85112-0 · Cited by 11
Şahin, F., Günel, A., Atasoy, B. T., Güler, Ü., Salih, B., Kuzu, I., Taşpınar, M., Çınar, Ö., & Kahveci, S. (2025) · Scientific Reports · doi:10.1038/s41598-024-84479-w · Cited by 12
Gao, C., Zhang, C., Wen, L., Zhang, G., Liu, X., Wang, J., Cui, L., Li, R., Nie, T., Duan, J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-85460-x · Cited by 11
Moroni, F., Naya-Català, F., Hafez, A. I., Domingo-Bretón, R., Soriano, B., Lloréns, C., & Pérez‐Sánchez, J. (2025) · Microorganisms · doi:10.3390/microorganisms13010198 · Cited by 12
Lee, D. B., & Hwang, I. S. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1512217 · Cited by 11
Kelly, C., Kiltschewskij, D. J., Leong, A. J. W., Haw, T. J., Croft, A. J., Balachandran, L., Chen, D., Bond, D. R., Lee, H. J., Cairns, M. J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-87442-5 · Cited by 12
Li, C., Sun, X., Yang, X., Zhang, R., Chen, J., & Wang, X. (2025) · Scientific Reports · doi:10.1038/s41598-025-89946-6 · Cited by 13
Song, C., Song, W., Liu, Y., Zhou, D., Cai, W., Mei, Y., Liu, F., Jiang, F., Chen, F., & Liu, Z. (2025) · Journal of Inflammation Research · doi:10.2147/jir.s503618 · Cited by 11
Ying, Z., Xie, S., Xiu, Z., Sun, Y., Yang, Q., Gao, H., Fan, W., & Wu, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-93710-1 · Cited by 12
Zheng, L., Xin, J., Ye, H., Sun, N., Gan, B., Gong, X., Bao, S., Xiang, M., Wang, H., Ni, X., et al. (2025) · BMC Microbiology · doi:10.1186/s12866-025-03893-w · Cited by 12
Kyrgiafini, M.-A., Kaltsas, A., Chatziparasidou, A., & Mamuris, Z. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26083537 · Cited by 11
Ayala, I., Hebbale, S. K., Mononen, J., Brearley-Sholto, M. C., Shannon, C. E., Valdez, I., Fourcaudot, M. J., Bakewell, T. M., Zagorska, A., Romero, G., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58714-5 · Cited by 11
Mohamed, N. M., Mohamed, R. H., Kennedy, J. F., ElHefnawi, M., & Hamdy, N. Μ. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.143616 · Cited by 15
Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency
Huang, J., Cheng, C., Brooks, M. D., Jeffers, T. L., Doner, N. M., Shih, H.-J. S., Frangos, S., Katari, M. S., & Coruzzi, G. M. (2025) · The Plant Cell · doi:10.1093/plcell/koaf093 · Cited by 11
Wang, D., Chernov, A. V., Lam, R., Wang, H., Li, W., Li, X., Duong, T., Wang, S., & Head, B. P. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02258-z · Cited by 11
Zhang, C., Yang, H., Liu, X., Wu, R., Zong, H., Wu, E., Zhou, Y. K., Li, J., & Shen, B. (2025) · Journal of Medical Internet Research · doi:10.2196/67201 · Cited by 16
Gluth, A., Czajka, J. J., Li, X., Bloodsworth, K., Eder, J., Kyle, J. E., Chu, R., Yang, B., Qian, W., Bohutskyi, P., et al. (2025) · Biotechnology for Biofuels and Bioproducts · doi:10.1186/s13068-025-02657-y · Cited by 13
Zenjanab, M. K., Salemi, A., Doustmihan, A., Alimohammadvand, S., & Jahanban‐Esfahlan, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-14704-7 · Cited by 12
Li, X., Wang, X., Ma, Q., Zhong, Y., Zhang, Y., Zhang, P., Li, Y., He, R., Zhou, Y., Li, Y., et al. (2023) · BMC Genomics · doi:10.1186/s12864-023-09148-0 · Cited by 11
Interactive gene identification for cancer subtyping based on multi-omics clustering
Ye, X., Shi, T., Cui, Y., & Sakurai, T. (2023) · Methods · doi:10.1016/j.ymeth.2023.02.005 · Cited by 11
Li, M., Jiang, Y., You, J., Zhao, P., Liu, W., Zhao, N., Yu, Z., & Ma, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-29936-8 · Cited by 11
Feng, Y., Li, Y., Zhao, Y., & Shi, H. (2023) · BMC Plant Biology · doi:10.1186/s12870-023-04169-z · Cited by 11
Fang, T., Qian, C., Daoura, B. G., Xia, Y., Fan, X., Zhao, P., Liao, Y., Shi, L., Chang, Y., & Ma, X. (2023) · BMC Plant Biology · doi:10.1186/s12870-023-04154-6 · Cited by 11
Yun, J., Huang, X., Liu, C., Shi, M., Li, W., Niu, J., Cai, C., Yang, Y., Gao, P., Guo, X., et al. (2023) · BMC Genomics · doi:10.1186/s12864-023-09284-7 · Cited by 11
Liu, X., Wu, M., He, Y., Gui, C., Weiming, W., Jiang, Z., & Zhong, G. (2023) · Scientific Reports · doi:10.1038/s41598-023-34851-z · Cited by 11
Cai, J., Chen, Y., Wang, K., Li, Y., Wu, J., Yu, H., Li, Q., Wu, Q., Meng, W., Wang, H., et al. (2023) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-023-03985-y · Cited by 11
Why is Babesia not killed by artemisinin like Plasmodium?
Si, W., Fang, C., Liu, C., Yin, M., Xu, W., Li, Y., Yan, X., Shen, Y., Cao, J., & Sun, J. (2023) · Parasites & Vectors · doi:10.1186/s13071-023-05783-4 · Cited by 11
Genomic and transcriptional characterization of early esophageal squamous cell carcinoma
Zhao, J., Jia, X., Li, Q., Zhang, H., Wang, J., Huang, S., Hu, Z., & Li, C. (2023) · BMC Medical Genomics · doi:10.1186/s12920-023-01588-7 · Cited by 11
Qi, Y., Zhang, Y., Li, J., Cai, M., Zhang, B., Yu, Z., Li, Y., Huang, J., Chen, X., Song, Y., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-11127-3 · Cited by 11
Metadata
- Authors
- Kanehisa, M., Furumichi, M., Sato, Y., Kawashima, M., & Ishiguro-Watanabe, M.
- Affiliations
- Kyoto University (JP)
- Fujitsu (Japan) (JP)
- Network Support Co. Ltd., Hakata-ku , Fukuoka 812-0011, Japan
- Institute of Medical Science, The University of Tokyo (JP)
- Corresponding author
- Kanehisa, Minoru
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-10-27
- Volume
- 51
- Issue
- D1
- Pages
- D587-D592
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC9825424
- OpenAlex
- W4307425304
- Cited by
- 5,833
- References
- 12
- Citations by year
- 2026: 911 · 2025: 1421 · 2024: 1899 · 2023: 1560 · 2022: 39
- FWCI
- 461.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Kyoto University Research Information Repository (Kyoto University) (submittedVersion, cc-by-nc)
- Funders
- Japan Science and Technology Agency
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- KEGG, pathway maps, genome annotation, KEGG Orthology, eukaryotic genomes, viruses, genome browser
- MeSH terms
- Databases, Factual, Genome, Genomics, Databases, Genetic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review