ggplot2

Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

McGuinness, L. A., & Higgins, J. P. T. (2021) · Research Synthesis Methods · doi:10.1002/jrsm.1411 · Cited by 5,579

Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases

Lloyd-Price, J., Arze, C., Ananthakrishnan, A. N., Schirmer, M., Avila-Pacheco, J., Poon, T. W., Andrews, E., Ajami, N. J., Bonham, K. S., Brislawn, C. J., et al. (2019) · Nature · doi:10.1038/s41586-019-1237-9 · Cited by 3,143

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Campanella, G., Hanna, M. G., Geneslaw, L., Miraflor, A., Werneck Krauss Silva, V., Busam, K. J., Brogi, E., Reuter, V. E., Klimstra, D. S., & Fuchs, T. J. (2019) · Nature Medicine · doi:10.1038/s41591-019-0508-1 · Cited by 2,799

Detection of a SARS-CoV-2 variant of concern in South Africa

Tegally, H., Wilkinson, E., Giovanetti, M., Iranzadeh, A., Fonseca, V., Giandhari, J., Doolabh, D., Pillay, S., San, E. J., Msomi, N., et al. (2021) · Nature · doi:10.1038/s41586-021-03402-9 · Cited by 2,510

Definitions, methods, and applications in interpretable machine learning

Murdoch, W. J., Singh, C., Kumbier, K., Abbasi-Asl, R., & Yu, B. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900654116 · Cited by 2,167

Scater: Pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R

McCarthy, D. J., Campbell, K. R., Lun, A. T. L., & Wills, Q. F. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw777 · Cited by 1,852

Fecal microbiota transplant promotes response in immunotherapy-refractory melanoma patients

Baruch, E. N., Youngster, I., Ben-Betzalel, G., Ortenberg, R., Lahat, A., Katz, L., Adler, K., Dick-Necula, D., Raskin, S., Bloch, N., et al. (2021) · Science · doi:10.1126/science.abb5920 · Cited by 1,757

stm : An R Package for Structural Topic Models

Roberts, M. E., Stewart, B. M., & Tingley, D. (2019) · Journal of Statistical Software · doi:10.18637/jss.v091.i02 · Cited by 1,714

Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

Maynard, K. R., Collado-Torres, L., Weber, L. M., Uytingco, C., Barry, B. K., Williams, S. R., Catallini, J. L., Tran, M. N., Besich, Z., Tippani, M., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00787-0 · Cited by 1,222

Harnessing protein folding neural networks for peptide–protein docking

Tsaban, T., Varga, J. K., Avraham, O., Ben-Aharon, Z., Khramushin, A., & Schueler-Furman, O. (2022) · Nature Communications · doi:10.1038/s41467-021-27838-9 · Cited by 1,205

Stunted microbiota and opportunistic pathogen colonization in caesarean-section birth

Shao, Y., Forster, S. C., Tsaliki, E., Vervier, K., Strang, A., Simpson, N., Kumar, N., Stares, M. D., Rodger, A., Brocklehurst, P., et al. (2019) · Nature · doi:10.1038/s41586-019-1560-1 · Cited by 1,088

A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation

Grubman, A., Chew, G., Ouyang, J. F., Sun, G., Choo, X. Y., McLean, C., Simmons, R. K., Buckberry, S., Vargas-Landin, D. B., Poppe, D., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0539-4 · Cited by 956

Comparative cellular analysis of motor cortex in human, marmoset and mouse

Bakken, T. E., Jorstad, N. L., Hu, Q., Lake, B. B., Tian, W., Kalmbach, B. E., Crow, M., Hodge, R. D., Krienen, F. M., Sorensen, S. A., et al. (2021) · Nature · doi:10.1038/s41586-021-03465-8 · Cited by 812

Homeostatic mini-intestines through scaffold-guided organoid morphogenesis

Nikolaev, M., Mitrofanova, O., Broguiere, N., Geraldo, S., Dutta, D., Tabata, Y., Elci, B., Brandenberg, N., Kolotuev, I., Gjorevski, N., et al. (2020) · Nature · doi:10.1038/s41586-020-2724-8 · Cited by 755

TREM2 regulates microglial cholesterol metabolism upon chronic phagocytic challenge

Nugent, A. A., Lin, K., van Lengerich, B., Lianoglou, S., Przybyla, L., Davis, S. S., Llapashtica, C., Wang, J., Kim, D. J., Xia, D., et al. (2020) · Neuron · doi:10.1016/j.neuron.2019.12.007 · Cited by 745

Neutrophil to lymphocyte ratio and cancer prognosis: an umbrella review of systematic reviews and meta-analyses of observational studies

Cupp, M. A., Cariolou, M., Tzoulaki, I., Aune, D., Evangelou, E., & Berlanga-Taylor, A. J. (2020) · BMC Medicine · doi:10.1186/s12916-020-01817-1 · Cited by 697

Quantifying the impact of physical distance measures on the transmission of COVID-19 in the UK

CMMID COVID-19 working group, Jarvis, C. I., Van Zandvoort, K., Gimma, A., Prem, K., Klepac, P., Rubin, G. J., & Edmunds, W. J. (2020) · BMC Medicine · doi:10.1186/s12916-020-01597-8 · Cited by 720

TREM2 Modulation Remodels the Tumor Myeloid Landscape Enhancing Anti-PD-1 Immunotherapy

Molgora, M., Esaulova, E., Vermi, W., Hou, J., Chen, Y., Luo, J., Brioschi, S., Bugatti, M., Omodei, A. S., Ricci, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.07.013 · Cited by 656

Positive but variable effects of crop diversification on biodiversity and ecosystem services

Beillouin, D., Ben‐Ari, T., Malézieux, E., Seufert, V., & Makowski, D. (2021) · Global Change Biology · doi:10.1111/gcb.15747 · Cited by 590

Sexual-dimorphism in human immune system aging

Márquez, E. J., Chung, C.-H., Marches, R., Rossi, R. J., Nehar-Belaid, D., Eroglu, A., Mellert, D. J., Kuchel, G. A., Banchereau, J., & Ucar, D. (2020) · Nature Communications · doi:10.1038/s41467-020-14396-9 · Cited by 584

muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data

Crowell, H. L., Soneson, C., Germain, P.-L., Calini, D., Collin, L., Raposo, C., Malhotra, D., & Robinson, M. D. (2020) · Nature Communications · doi:10.1038/s41467-020-19894-4 · Cited by 515

Microenvironment mapping via Dexter energy transfer on immune cells

Geri, J. B., Oakley, J. V., Reyes-Robles, T., Wang, T., McCarver, S. J., White, C. H., Rodriguez-Rivera, F. P., Parker, D. L., Hett, E. C., Fadeyi, O. O., et al. (2020) · Science · doi:10.1126/science.aay4106 · Cited by 481

A multidimensional systems biology analysis of cellular senescence in aging and disease

Avelar, R. A., Ortega, J. G., Tacutu, R., Tyler, E. J., Bennett, D., Binetti, P., Budovsky, A., Chatsirisupachai, K., Johnson, E., Murray, A., et al. (2020) · Genome Biology · doi:10.1186/s13059-020-01990-9 · Cited by 399

GENESPACE tracks regions of interest and gene copy number variation across multiple genomes

Lovell, J. T., Sreedasyam, A., Schranz, M. E., Wilson, M., Carlson, J. W., Harkess, A., Emms, D., Goodstein, D. M., & Schmutz, J. (2022) · eLife · doi:10.7554/elife.78526 · Cited by 391

In vivo adenine base editing of PCSK9 in macaques reduces LDL cholesterol levels

Rothgangl, T., Dennis, M. K., Lin, P. J. C., Oka, R., Witzigmann, D., Villiger, L., Qi, W., Hruzova, M., Kissling, L., Lenggenhager, D., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-00933-4 · Cited by 378

Deleting DNMT3A in CAR T cells prevents exhaustion and enhances antitumor activity

Prinzing, B., Zebley, C. C., Petersen, C. T., Fan, Y., Anido, A. A., Yi, Z., Nguyen, P., Houke, H., Bell, M., Haydar, D., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abh0272 · Cited by 349

Reimagining high-throughput profiling of reactive cysteines for cell-based screening of large electrophile libraries

Kuljanin, M., Mitchell, D. C., Schweppe, D. K., Gikandi, A. S., Nusinow, D. P., Bulloch, N. J., Vinogradova, E. V., Wilson, D. L., Kool, E. T., Mancias, J. D., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-00778-3 · Cited by 305

Benchmarking AlphaFold for protein complex modeling reveals accuracy determinants

Yin, R., Feng, B. Y., Varshney, A., & Pierce, B. G. (2021) · doi:10.1101/2021.10.23.465575 · Cited by 335

Benchmarking AlphaFold for protein complex modeling reveals accuracy determinants

Yin, R., Feng, B. Y., Varshney, A., & Pierce, B. G. (2022) · Protein Science · doi:10.1002/pro.4379 · Cited by 335

Prevalence of post-traumatic stress disorder symptoms in adult critical care survivors: a systematic review and meta-analysis

Righy, C., Rosa, R. G., da Silva, R. T. A., Kochhann, R., Migliavaca, C. B., Robinson, C. C., Teche, S. P., Teixeira, C., Bozza, F. A., & Falavigna, M. (2019) · Critical Care · doi:10.1186/s13054-019-2489-3 · Cited by 319

Engagement in Online Learning: Student Attitudes and Behavior During COVID-19

Hollister, B., Nair, P., Hill-Lindsay, S., & Chukoskie, L. (2022) · Frontiers in Education · doi:10.3389/feduc.2022.851019 · Cited by 317

Pathogenic tau-induced piRNA depletion promotes neuronal death through transposable element dysregulation in neurodegenerative tauopathies

Sun, W., Samimi, H., Gamez, M., Zare, H., & Frost, B. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0194-1 · Cited by 300

Animal to human translation: a systematic scoping review of reported concordance rates

Leenaars, C. H. C., Kouwenaar, C., Stafleu, F. R., Bleich, A., Ritskes-Hoitinga, M., De Vries, R. B. M., & Meijboom, F. L. B. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-019-1976-2 · Cited by 314

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of enhancers

de Almeida, B. P., Reiter, F., Pagani, M., & Stark, A. (2021) · doi:10.1101/2021.10.05.463203 · Cited by 284

Single-cell brain organoid screening identifies developmental defects in autism

Li, C., Fleck, J. S., Martins-Costa, C., Burkard, T. R., Themann, J., Stuempflen, M., Peer, A. M., Vertesy, Á., Littleboy, J. B., Esk, C., et al. (2023) · Nature · doi:10.1038/s41586-023-06473-y · Cited by 283

DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers

de Almeida, B. P., Reiter, F., Pagani, M., & Stark, A. (2022) · Nature Genetics · doi:10.1038/s41588-022-01048-5 · Cited by 283

Genomic prediction of maize yield across European environmental conditions

Millet, E. J., Kruijer, W., Coupel-Ledru, A., Alvarez Prado, S., Cabrera-Bosquet, L., Lacube, S., Charcosset, A., Welcker, C., van Eeuwijk, F., & Tardieu, F. (2019) · Nature Genetics · doi:10.1038/s41588-019-0414-y · Cited by 280

A heterochromatin-dependent transcription machinery drives piRNA expression

Andersen, P. R., Tirian, L., Vunjak, M., & Brennecke, J. (2017) · Nature · doi:10.1038/nature23482 · Cited by 280

Two distinct immunopathological profiles in autopsy lungs of COVID-19

Nienhold, R., Ciani, Y., Koelzer, V. H., Tzankov, A., Haslbauer, J. D., Menter, T., Schwab, N., Henkel, M., Frank, A., Zsikla, V., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18854-2 · Cited by 246

Did students learn less during the COVID-19 pandemic? Reading and mathematics competencies before and after the first pandemic wave

Schult, J., Mahler, N., Fauth, B., & Lindner, M. A. (2022) · School Effectiveness and School Improvement · doi:10.1080/09243453.2022.2061014 · Cited by 262

The natverse, a versatile toolbox for combining and analysing neuroanatomical data

Bates, A. S., Manton, J. D., Jagannathan, S. R., Costa, M., Schlegel, P., Rohlfing, T., & Jefferis, G. S. (2020) · eLife · doi:10.7554/elife.53350 · Cited by 215

Breast tumours maintain a reservoir of subclonal diversity during expansion

Minussi, D. C., Nicholson, M. D., Ye, H., Davis, A., Wang, K., Baker, T., Tarabichi, M., Sei, E., Du, H., Rabbani, M., et al. (2021) · Nature · doi:10.1038/s41586-021-03357-x · Cited by 256

A Pliable Mediator Acts as a Functional Rather Than an Architectural Bridge between Promoters and Enhancers

El Khattabi, L., Zhao, H., Kalchschmidt, J., Young, N., Jung, S., Van Blerkom, P., Kieffer-Kwon, P., Kieffer-Kwon, K.-R., Park, S., Wang, X., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.011 · Cited by 244

Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms

Goto, S., Mahara, K., Beussink-Nelson, L., Ikura, H., Katsumata, Y., Endo, J., Gaggin, H. K., Shah, S. J., Itabashi, Y., MacRae, C. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22877-8 · Cited by 245

Protected areas offer refuge from invasive species spreading under climate change

Gallardo, B., Aldridge, D. C., González‐Moreno, P., Pergl, J., Pizarro, M., Pyšek, P., Thuiller, W., Yesson, C., & Vilà, M. (2017) · Global Change Biology · doi:10.1111/gcb.13798 · Cited by 230

Heritable Bovine Rumen Bacteria Are Phylogenetically Related and Correlated with the Cow’s Capacity To Harvest Energy from Its Feed

Sasson, G., Kruger Ben-Shabat, S., Seroussi, E., Doron-Faigenboim, A., Shterzer, N., Yaacoby, S., Berg Miller, M. E., White, B. A., Halperin, E., & Mizrahi, I. (2017) · mBio · doi:10.1128/mbio.00703-17 · Cited by 219

Single cell census of human kidney organoids shows reproducibility and diminished off-target cells after transplantation

Subramanian, A., Sidhom, E.-H., Emani, M., Vernon, K., Sahakian, N., Zhou, Y., Kost-Alimova, M., Slyper, M., Waldman, J., Dionne, D., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13382-0 · Cited by 211

Structures of the σ2 receptor enable docking for bioactive ligand discovery

Alon, A., Lyu, J., Braz, J. M., Tummino, T. A., Craik, V., O’Meara, M. J., Webb, C. M., Radchenko, D. S., Moroz, Y. S., Huang, X.-P., et al. (2021) · Nature · doi:10.1038/s41586-021-04175-x · Cited by 211

Late Quaternary dynamics of arctic biota from ancient environmental genomics

Wang, Y., Pedersen, M. W., Alsos, I. G., De Sanctis, B., Racimo, F., Prohaska, A., Coissac, E., Owens, H. L., Merkel, M. K. F., Fernandez-Guerra, A., et al. (2021) · Nature · doi:10.1038/s41586-021-04016-x · Cited by 211

Fermented-food metagenomics reveals substrate-associated differences in taxonomy and health-associated and antibiotic resistance determinants

Leech, J., Cabrera-Rubio, R., Walsh, A. M., Macori, G., Walsh, C. J., Barton, W., Finnegan, L., Crispie, F., O’Sullivan, O., Claesson, M. J., et al. (2020) · mSystems · doi:10.1128/msystems.00522-20 · Cited by 200

Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments

Jackson, C. A., Castro, D. M., Saldi, G.-A., Bonneau, R., & Gresham, D. (2020) · eLife · doi:10.7554/elife.51254 · Cited by 174

Native American gene flow into Polynesia predating Easter Island settlement

Ioannidis, A. G., Blanco-Portillo, J., Sandoval, K., Hagelberg, E., Miquel-Poblete, J. F., Moreno-Mayar, J. V., Rodríguez-Rodríguez, J. E., Quinto-Cortés, C. D., Auckland, K., Parks, T., et al. (2020) · Nature · doi:10.1038/s41586-020-2487-2 · Cited by 196

Comparing dream to reality: an assessment of adherence of the first generation of preregistered studies

Claesen, A., Gomes, S., Tuerlinckx, F., & Vanpaemel, W. (2021) · Royal Society Open Science · doi:10.1098/rsos.211037 · Cited by 197

Decoding molecular and cellular heterogeneity of mouse nucleus accumbens

Chen, R., Blosser, T. R., Djekidel, M. N., Hao, J., Bhattacherjee, A., Chen, W., Tuesta, L. M., Zhuang, X., & Zhang, Y. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00938-x · Cited by 191

Satellite observations document trends consistent with a boreal forest biome shift

Berner, L. T., & Goetz, S. J. (2022) · Global Change Biology · doi:10.1111/gcb.16121 · Cited by 182

Benchmark of filter methods for feature selection in high-dimensional gene expression survival data

Bommert, A., Welchowski, T., Schmid, M., & Rahnenführer, J. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbab354 · Cited by 182

Cellular correlates of cortical thinning throughout the lifespan

Vidal-Pineiro, D., Parker, N., Shin, J., French, L., Grydeland, H., Jackowski, A. P., Mowinckel, A. M., Patel, Y., Pausova, Z., Salum, G., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-78471-3 · Cited by 154

Stepwise evolution of Salmonella Typhimurium ST313 causing bloodstream infection in Africa

Pulford, C. V., Perez-Sepulveda, B. M., Canals, R., Bevington, J. A., Bengtsson, R. J., Wenner, N., Rodwell, E. V., Kumwenda, B., Zhu, X., Bennett, R. J., et al. (2020) · Nature Microbiology · doi:10.1038/s41564-020-00836-1 · Cited by 151

Modelling monotonic effects of ordinal predictors in Bayesian regression models

Bürkner, P., & Charpentier, E. (2020) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12195 · Cited by 160

Independence of chromatin conformation and gene regulation during Drosophila dorsoventral patterning

Ing-Simmons, E., Vaid, R., Bing, X. Y., Levine, M., Mannervik, M., & Vaquerizas, J. M. (2021) · Nature Genetics · doi:10.1038/s41588-021-00799-x · Cited by 159

Schizophrenia is defined by cell-specific neuropathology and multiple neurodevelopmental mechanisms in patient-derived cerebral organoids

Notaras, M., Lodhi, A., Dündar, F., Collier, P., Sayles, N. M., Tilgner, H., Greening, D., & Colak, D. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01316-6 · Cited by 150

Overcoming Genetically Based Resistance Mechanisms to PD-1 Blockade

Torrejon, D. Y., Abril-Rodriguez, G., Champhekar, A. S., Tsoi, J., Campbell, K. M., Kalbasi, A., Parisi, G., Zaretsky, J. M., Garcia-Diaz, A., Puig-Saus, C., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1409 · Cited by 146

What is green infrastructure? A study of definitions in US city planning

Grabowski, Z. J., McPhearson, T., Matsler, A. M., Groffman, P., & Pickett, S. T. (2022) · Frontiers in Ecology and the Environment · doi:10.1002/fee.2445 · Cited by 152

Global population genetic structure and demographic trajectories of the black soldier fly, Hermetia illucens

Kaya, C., Generalovic, T. N., Ståhls, G., Hauser, M., Samayoa, A. C., Nunes-Silva, C. G., Roxburgh, H., Wohlfahrt, J., Ewusie, E. A., Kenis, M., et al. (2021) · BMC Biology · doi:10.1186/s12915-021-01029-w · Cited by 149

Predicting functional effects of missense variants in voltage-gated sodium and calcium channels

Heyne, H. O., Baez-Nieto, D., Iqbal, S., Palmer, D. S., Brunklaus, A., May, P., Collaborative, E., Johannesen, K. M., Lauxmann, S., Lemke, J. R., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aay6848 · Cited by 140

Assessment of transparency indicators across the biomedical literature: How open is open?

Serghiou, S., Contopoulos-Ioannidis, D. G., Boyack, K. W., Riedel, N., Wallach, J. D., & Ioannidis, J. P. A. (2021) · PLOS Biology · doi:10.1371/journal.pbio.3001107 · Cited by 139

Meta-analysis of cheese microbiomes highlights contributions to multiple aspects of quality

Walsh, A. M., Macori, G., Kilcawley, K. N., & Cotter, P. D. (2020) · Nature Food · doi:10.1038/s43016-020-0129-3 · Cited by 133

Osteocyte transcriptome mapping identifies a molecular landscape controlling skeletal homeostasis and susceptibility to skeletal disease

Youlten, S. E., Kemp, J. P., Logan, J. G., Ghirardello, E. J., Sergio, C. M., Dack, M. R. G., Guilfoyle, S. E., Leitch, V. D., Butterfield, N. C., Komla-Ebri, D., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22517-1 · Cited by 133

Paths and timings of the peopling of Polynesia inferred from genomic networks

Ioannidis, A. G., Blanco-Portillo, J., Sandoval, K., Hagelberg, E., Barberena-Jonas, C., Hill, A. V. S., Rodríguez-Rodríguez, J. E., Fox, K., Robson, K., Haoa-Cardinali, S., et al. (2021) · Nature · doi:10.1038/s41586-021-03902-8 · Cited by 124

Recruitment, consent and retention of participants in randomised controlled trials: a review of trials published in the National Institute for Health Research (NIHR) Journals Library (1997–2020)

Jacques, R. M., Ahmed, R., Harper, J., Ranjan, A., Saeed, I., Simpson, R. M., & Walters, S. J. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059230 · Cited by 120

Genomic clues of the evolutionary history of Bos indicus cattle

Utsunomiya, Y. T., Milanesi, M., Fortes, M. R. S., Porto‐Neto, L. R., Utsunomiya, A. T. H., Silva, M. V. G. B., Garcia, J. F., & Ajmone‐Marsan, P. (2019) · Animal Genetics · doi:10.1111/age.12836 · Cited by 128

Maturation of the cardiac autonomic nervous system activity in children and adolescents

Harteveld, L. M., Nederend, I., ten Harkel, A. D. J., Schutte, N. M., de Rooij, S. R., Vrijkotte, T. G. M., Oldenhof, H., Popma, A., Jansen, L. M. C., Suurland, J., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.017405 · Cited by 127

Association between patterns of alcohol consumption (beverage type, frequency and consumption with food) and risk of adverse health outcomes: a prospective cohort study

Jani, B. D., McQueenie, R., Nicholl, B. I., Field, R., Hanlon, P., Gallacher, K. I., Mair, F. S., & Lewsey, J. (2021) · BMC Medicine · doi:10.1186/s12916-020-01878-2 · Cited by 124

Skeletal muscle transcriptome in healthy aging

Tumasian, R. A., Harish, A., Kundu, G., Yang, J.-H., Ubaida-Mohien, C., Gonzalez-Freire, M., Kaileh, M., Zukley, L. M., Chia, C. W., Lyashkov, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22168-2 · Cited by 126

Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey

Maassen, O., Fritsch, S., Palm, J., Deffge, S., Kunze, J., Marx, G., Riedel, M., Schuppert, A., & Bickenbach, J. (2021) · Journal of Medical Internet Research · doi:10.2196/26646 · Cited by 125

Exposure to the Russian Internet Research Agency foreign influence campaign on Twitter in the 2016 US election and its relationship to attitudes and voting behavior

Eady, G., Paskhalis, T., Zilinsky, J., Bonneau, R., Nagler, J., & Tucker, J. A. (2023) · Nature Communications · doi:10.1038/s41467-022-35576-9 · Cited by 125

Distinct actions of the fermented beverage kefir on host behaviour, immunity and microbiome gut-brain modules in the mouse

van de Wouw, M., Walsh, A. M., Crispie, F., van Leuven, L., Lyte, J. M., Boehme, M., Clarke, G., Dinan, T. G., Cotter, P. D., & Cryan, J. F. (2020) · Microbiome · doi:10.1186/s40168-020-00846-5 · Cited by 123

Triplication of the interferon receptor locus contributes to hallmarks of Down syndrome in a mouse model

Waugh, K. A., Minter, R., Baxter, J., Chi, C., Galbraith, M. D., Tuttle, K. D., Eduthan, N. P., Kinning, K. T., Andrysik, Z., Araya, P., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01399-7 · Cited by 117

The impact of COVID-19 on the cancer care of adolescents and young adults and their well-being: results from an online survey conducted in the early stages of the pandemic

Košir, U., Loades, M., Wild, J., Wiedemann, M., Krajnc, A., Roškar, S., & Bowes, L. (2020) · Cancer · doi:10.1002/cncr.33098 · Cited by 108

Microglial microRNAs mediate sex-specific responses to tau pathology

Kodama, L., Guzman, E., Etchegaray, J. I., Li, Y., Sayed, F. A., Zhou, L., Zhou, Y., Zhan, L., Le, D., Udeochu, J. C., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-019-0560-7 · Cited by 115

Did students learn less during the COVID-19 pandemic? reading and mathematics competencies before and after the first pandemic wave

Schult, J., Mahler, N., Fauth, B., & Lindner, M. A. (2021) · doi:10.31234/osf.io/pqtgf · Cited by 262

A Global Survey of Mycobacterial Diversity in Soil

Walsh, C. M., Gebert, M. J., Delgado-Baquerizo, M., Maestre, F. T., & Fierer, N. (2019) · Applied and Environmental Microbiology · doi:10.1128/aem.01180-19 · Cited by 111

Current landscape of plasma proteomics from technical innovations to biological insights and biomarker discovery

Kirsher, D. Y., Chand, S., Phong, A., Nguyen, B., Szoke, B. G., & Ahadi, S. (2025) · Communications Chemistry · doi:10.1038/s42004-025-01665-1 · Cited by 111

Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study

Meyer, A., Riese, J., & Streichert, T. (2024) · JMIR Medical Education · doi:10.2196/50965 · Cited by 110

Minor intron retention drives clonal hematopoietic disorders and diverse cancer predisposition

Inoue, D., Polaski, J. T., Taylor, J., Castel, P., Chen, S., Kobayashi, S., Hogg, S. J., Hayashi, Y., Pineda, J. M. B., El Marabti, E., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00828-9 · Cited by 108

Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial

Ponzo, S., Morelli, D., Kawadler, J. M., Hemmings, N. R., Bird, G., & Plans, D. (2020) · JMIR mHealth and uHealth · doi:10.2196/17767 · Cited by 100

Variability of Stuttering: Behavior and Impact

Tichenor, S. E., & Yaruss, J. S. (2021) · American Journal of Speech-Language Pathology · doi:10.1044/2020_ajslp-20-00112 · Cited by 105

You Can Handle, You Can Teach It: Systematic Review on the Use of Extended Reality and Artificial Intelligence Technologies for Online Higher Education

Rangel-de Lázaro, G., & Duart, J. M. (2023) · Sustainability · doi:10.3390/su15043507 · Cited by 95

Naturally-aged microglia exhibit phagocytic dysfunction accompanied by gene expression changes reflective of underlying neurologic disease

Thomas, A. L., Lehn, M. A., Janssen, E. M., Hildeman, D. A., & Chougnet, C. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-21920-y · Cited by 94

Short- and long-read metagenomics of urban and rural South African gut microbiomes reveal a transitional composition and undescribed taxa

Tamburini, F. B., Maghini, D., Oduaran, O. H., Brewster, R., Hulley, M. R., Sahibdeen, V., Norris, S. A., Tollman, S., Kahn, K., Wagner, R. G., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27917-x · Cited by 88

Succinylation of H3K122 destabilizes nucleosomes and enhances transcription

Zorro Shahidian, L., Haas, M., Le Gras, S., Nitsch, S., Mourão, A., Geerlof, A., Margueron, R., Michaelis, J., Daujat, S., & Schneider, R. (2021) · The EMBO Reports · doi:10.15252/embr.202051009 · Cited by 92

Estimating the Prevalence and Genetic Risk Mechanisms of ARFID in a Large Autism Cohort

Koomar, T., Thomas, T. R., Pottschmidt, N. R., Lutter, M., & Michaelson, J. J. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.668297 · Cited by 92

Activation of Tumor-Cell STING Primes NK-Cell Therapy

Knelson, E. H., Ivanova, E. V., Tarannum, M., Campisi, M., Lizotte, P. H., Booker, M. A., Ozgenc, I., Noureddine, M., Meisenheimer, B., Chen, M., et al. (2022) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-22-0017 · Cited by 88

Microbial hitchhikers harbouring antimicrobial-resistance genes in the riverine plastisphere

Zadjelovic, V., Wright, R. J., Borsetto, C., Quartey, J., Cairns, T. N., Langille, M. G. I., Wellington, E. M. H., & Christie-Oleza, J. A. (2023) · Microbiome · doi:10.1186/s40168-023-01662-3 · Cited by 87

Housing arrangement and vegetation factors associated with single-family home survival in the 2018 Camp Fire, California

Knapp, E. E., Valachovic, Y. S., Quarles, S. L., & Johnson, N. G. (2021) · Fire Ecology · doi:10.1186/s42408-021-00117-0 · Cited by 84

Genetic, epigenetic, and environmental factors controlling oxytocin receptor gene expression

Danoff, J. S., Wroblewski, K. L., Graves, A. J., Quinn, G. C., Perkeybile, A. M., Kenkel, W. M., Lillard, T. S., Parikh, H. I., Golino, H. F., Gregory, S. G., et al. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01017-5 · Cited by 85

Moral polarization and out-party hostility in the US political context

Tappin, B. M., & McKay, R. T. (2019) · Journal of Social and Political Psychology · doi:10.5964/jspp.v7i1.1090 · Cited by 79

Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases

Saggau, C., Bacher, P., Esser, D., Rasa, M., Meise, S., Mohr, N., Kohlstedt, N., Hutloff, A., Schacht, S.-S., Dargvainiene, J., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.08.005 · Cited by 79

Transforming health care through chatbots for medical history-taking and future directions: comprehensive systematic review

Hindelang, M., Sitaru, S., & Zink, A. (2024) · JMIR Medical Informatics · doi:10.2196/56628 · Cited by 79

Cross-Disciplinary Care: A Systematic Review on Teamwork Processes in Health Care

Dinh, J. V., Traylor, A. M., Kilcullen, M. P., Perez, J. A., Schweissing, E. J., Venkatesh, A., & Salas, E. (2020) · Small Group Research · doi:10.1177/1046496419872002 · Cited by 73