ggplot2: Elegant Graphics for Data Analysis

The eukaryotic life on microplastics in Brackish ecosystems

Kettner, M. T., Oberbeckmann, S., Labrenz, M., & Grossart, H.-P. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00538 · Cited by 185

A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects

Arvidsson, S., Pérez‐Rodríguez, P., & Mueller‐Roeber, B. (2011) · New Phytologist · doi:10.1111/j.1469-8137.2011.03756.x · Cited by 186

Source–sink plasmid transfer dynamics maintain gene mobility in soil bacterial communities

Hall, J. P. J., Wood, A. J., Harrison, E., & Brockhurst, M. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600974113 · Cited by 186

In-Depth Characterization of Monocyte-Derived Macrophages using a Mass Cytometry-Based Phagocytosis Assay

Schulz, D., Severin, Y., Zanotelli, V. R., & Bodenmiller, B. (2019) · Scientific Reports · doi:10.1038/s41598-018-38127-9 · Cited by 187

Soil textural heterogeneity impacts bacterial but not fungal diversity

Seaton, F. M., George, P. B. L., Lebron, I., Jones, D. L., Creer, S., & Robinson, D. A. (2020) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2020.107766 · Cited by 186

A performance comparison of eight commercially available automatic classifiers for facial affect recognition

Dupré, D., Krumhuber, E. G., Küster, D., & McKeown, G. J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231968 · Cited by 189

A Simple and Effective Model-Based Variable Importance MeasurePreprint

Greenwell, B., Boehmke, B. C., & McCarthy, A. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.04755 · Cited by 285

Understanding the effects of personalization as a privacy calculus: Analyzing self-disclosure across health, news, and commerce contexts

Bol, N., Dienlin, T., Kruikemeier, S., Sax, M., Boerman, S. C., Strycharz, J., Helberger, N., & de Vreese, C. H. (2018) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmy020 · Cited by 215

Paleontological baselines for evaluating extinction risk in the modern oceans

Finnegan, S., Anderson, S. C., Harnik, P. G., Simpson, C., Tittensor, D. P., Byrnes, J. E. K., Finkel, Z. V., Lindberg, D. R., Liow, L. H., Lockwood, R., et al. (2015) · Science · doi:10.1126/science.aaa6635 · Cited by 187

Bisphenol A causes reproductive toxicity, decreases dnmt1 transcription, and reduces global DNA methylation in breeding zebrafish (Danio rerio)

Laing, L. V., Viana, J. F., Dempster, E. L., Trznadel, M., Trunkfield, L. A., Webster, T. M. U., van Aerle, R., Paull, G. C., Wilson, R. J., Mill, J. S., et al. (2016) · Epigenetics · doi:10.1080/15592294.2016.1182272 · Cited by 185

Learning to Program: Gender Differences and Interactive Effects of Students' Motivation, Goals, and Self-Efficacy on Performance

Lishinski, A., Yadav, A., Good, J., & Enbody, R. (2016) · Proceedings of the 2016 ACM Conference on International Computing Education Research · doi:10.1145/2960310.2960329 · Cited by 199

Health Equity Assessment Toolkit (HEAT): software for exploring and comparing health inequalities in countries

Hosseinpoor, A. R., Nambiar, D., Schlotheuber, A., Reidpath, D. D., & Ross, Z. (2016) · BMC Medical Research Methodology · doi:10.1186/s12874-016-0229-9 · Cited by 185

Phototrophic extracellular electron uptake is linked to carbon dioxide fixation in the bacterium Rhodopseudomonas palustris

Guzman, M. S., Rengasamy, K., Binkley, M. M., Jones, C. M., Ranaivoarisoa, T. O., Singh, R. R., Fike, D. A., Meacham, J. M., & Bose, A. (2019) · Nature Communications · doi:10.1038/s41467-019-09377-6 · Cited by 192

Validation of a Next-Generation Sequencing Assay for Clinical Molecular Oncology

Cottrell, C. E., Al‐Kateb, H., Bredemeyer, A. J., Duncavage, E. J., Spencer, D. H., Abel, H., Lockwood, C. M., Hagemann, I. S., O’Guin, S. M., Burcea, L. C., et al. (2013) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2013.10.002 · Cited by 187

Tundra ecosystems observed to be CO2sources due to differential amplification of the carbon cycle

Belshe, E. F., Schuur, E. A. G., & Bolker, B. M. (2013) · Ecology Letters · doi:10.1111/ele.12164 · Cited by 184

Circular RNA expression in human hematopoietic cells is widespread and cell-type specific

Nicolet, B. P., Engels, S., Aglialoro, F., van den Akker, E., Lindern, M. V., & Wolkers, M. C. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky721 · Cited by 188

Salmon gut microbiota correlates with disease infection status: potential for monitoring health in farmed animals

Bozzi, D., Rasmussen, J. A., Carøe, C., Sveier, H., Nordøy, K., Gilbert, M. T. P., & Limborg, M. T. (2021) · Animal Microbiome · doi:10.1186/s42523-021-00096-2 · Cited by 190

Human memory T cells with a naive phenotype accumulate with aging and respond to persistent viruses

Pulko, V., Davies, J. S., Martinez, C., Lanteri, M. C., Busch, M. P., Diamond, M. S., Knox, K., Bush, E. C., Sims, P. A., Sinari, S., et al. (2016) · Nature Immunology · doi:10.1038/ni.3483 · Cited by 175

RDAVIDWebService: a versatile R interface to DAVID

Fresno, C., & Fernández, E. A. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt487 · Cited by 183

Distinct metabolic states govern skeletal muscle stem cell fates during prenatal and postnatal myogenesis

Pala, F., Di Girolamo, D., Mella, S., Yennek, S., Chatre, L., Ricchetti, M., & Tajbakhsh, S. (2018) · Journal of Cell Science · doi:10.1242/jcs.212977 · Cited by 184

Determinants of Sanctions Effectiveness: Sensitivity Analysis Using New Data

Bapat, N. A., Heinrich, T., Kobayashi, Y., & Morgan, T. (2012) · International Interactions · doi:10.1080/03050629.2013.751298 · Cited by 187

Bistability in the Rac1, PAK, and RhoA Signaling Network Drives Actin Cytoskeleton Dynamics and Cell Motility Switches

Byrne, K. M., Monsefi, N., Dawson, J. C., Degasperi, A., Wills, J. C., Volinsky, N., Dobrzyński, M., Birtwistle, M. R., Tsyganov, M. A., Kiyatkin, A. B., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.01.003 · Cited by 183

Major satellite repeat RNA stabilize heterochromatin retention of Suv39h enzymes by RNA-nucleosome association and RNA:DNA hybrid formation

Camacho, O. V., Galan, C., Świst-Rosowska, K. M., Ching, R. W., Gamalinda, M., Karabiber, F., Rosa-Velázquez, I. A. D. L., Engist, B., Koschorz, B., Shukeir, N., et al. (2017) · eLife · doi:10.7554/elife.25293 · Cited by 184

Comparative developmental toxicity of a comprehensive suite of polycyclic aromatic hydrocarbons

Geier, M. C., Chlebowski, A. C., Truong, L., Simonich, S. L. M., Anderson, K. A., & Tanguay, R. L. (2017) · Archives of Toxicology · doi:10.1007/s00204-017-2068-9 · Cited by 182

Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning

Unger, E. K., Keller, J. P., Altermatt, M., Liang, R., Matsui, A., Dong, C., Hon, O. J., Yao, Z. W., Sun, J., Banala, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.11.040 · Cited by 182

Digital microfluidic isolation of single cells for -Omics

Lamanna, J., Scott, E., Edwards, H. S., Chamberlain, M. D., Dryden, M. D. M., Peng, J., Mair, B., Lee, A., Chan, C. C. H., Sklavounos, A. A., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19394-5 · Cited by 183

Intestinal Carriage of Carbapenemase-Producing Organisms: Current Status of Surveillance Methods

Viau, R. A., Frank, K. M., Jacobs, M. R., Wilson, B. M., Kaye, K. S., Donskey, C. J., Pérez, F., Endimiani, A., & Bonomo, R. A. (2016) · Clinical Microbiology Reviews · doi:10.1128/cmr.00108-14 · Cited by 181

Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone

Duffy, J. P., Pratt, L. R., Anderson, K., Land, P. E., & Shutler, J. D. (2017) · Estuarine Coastal and Shelf Science · doi:10.1016/j.ecss.2017.11.001 · Cited by 181

HLA-C*06:02 genotype is a predictive biomarker of biologic treatment response in psoriasis

Dand, N., Duckworth, M., Baudry, D., Russell, A., Curtis, C. J. C., Lee, S. H., Evans, I., Mason, K. J., Alsharqi, A., Becher, G., et al. (2018) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2018.11.038 · Cited by 184

Ultrafine particles and PM2.5 in the air of cities around the world: Are they representative of each other?

de Jesus, A. L., Rahman, M. M., Mazaheri, M., Thompson, H., Knibbs, L. D., Jeong, C., Evans, G. J., Nei, W., Ding, A., Qiao, L., et al. (2019) · Environment International · doi:10.1016/j.envint.2019.05.021 · Cited by 181

Current state and development of Airbnb accommodation offer in 167 countries

Adamiak, C. (2019) · Current Issues in Tourism · doi:10.1080/13683500.2019.1696758 · Cited by 181

Comparison of Convective Parameters Derived from ERA5 and MERRA-2 with Rawinsonde Data over Europe and North America

Taszarek, M., Pilguj, N., Allen, J. T., Gensini, V. A., Brooks, H. E., & Szuster, P. (2020) · Journal of Climate · doi:10.1175/jcli-d-20-0484.1 · Cited by 197

CPLM: a database of protein lysine modifications

Liu, Z., Wang, Y., Gao, T., Pan, Z., Cheng, H., Yang, Q. F., Cheng, Z., Guo, A., Ren, J. M., & Xue, Y. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1093 · Cited by 179

A decision tree based data-driven diagnostic strategy for air handling units

Yan, R., Ma, Z., Zhao, Y., & Kokogiannakis, G. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.09.039 · Cited by 180

onewaytests: An R Package for One-Way Tests in Independent Groups Designs

Dağ, O., Dolgun, A., & Konar, N. M. (2018) · The R Journal · doi:10.32614/rj-2018-022 · Cited by 178

A Defective Pentose Phosphate Pathway Reduces Inflammatory Macrophage Responses during Hypercholesterolemia

Baardman, J., Verberk, S. G. S., Prange, K. H. M., van Weeghel, M., van der Velden, S., Ryan, D. G., Wüst, R. C. I., Neele, A. E., Speijer, D., Denis, S. W., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.10.092 · Cited by 175

Impact of coronavirus (COVID-19) spread-prevention actions on urban water consumption

Kalbusch, A., Henning, E., Brikalski, M. P., de Luca, F. V., & Konrath, A. C. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105098 · Cited by 180

Prediction of resistance development against drug combinations by collateral responses to component drugs

Munck, C., Gumpert, H., Wallin, A. I. N., Wang, H. H., & Sommer, M. O. A. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3009940 · Cited by 176

Forest Management Type Influences Diversity and Community Composition of Soil Fungi across Temperate Forest Ecosystems

Goldmann, K., Schöning, I., Buscot, F., & Wubet, T. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.01300 · Cited by 188

Rattle: A Data Mining GUI for R

Graham, J. W. (2009) · The R Journal · doi:10.32614/rj-2009-016 · Cited by 179

Gender differences in clinical presentation and 1-year outcomes in atrial fibrillation

Schnabel, R. B., Pecen, L., Ojeda, F., Lucerna, M., Rzayeva, N., Blankenberg, S., Darius, H., Kotecha, D., Caterina, R. D., & Kirchhof, P. F. (2017) · Heart · doi:10.1136/heartjnl-2016-310406 · Cited by 179

Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering

Li, K., Ma, Z., Robinson, D., & Ma, J. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.09.050 · Cited by 179

Probiotic or synbiotic alters the gut microbiota and metabolism in a randomised controlled trial of weight management in overweight adults

Hibberd, A. A., Yde, C. C., Ziegler, M. L., Honoré, A. H., Saarinen, M., Lahtinen, S. J., Stahl, B., Jensen, H. M., & Stenman, L. K. (2018) · Beneficial Microbes · doi:10.3920/bm2018.0028 · Cited by 183

Hyper‐Palatable Foods: Development of a Quantitative Definition and Application to the US Food System Database

Fazzino, T. L., Rohde, K., & Sullivan, D. K. (2019) · Obesity · doi:10.1002/oby.22639 · Cited by 179

OsNSUN2-Mediated 5-Methylcytosine mRNA Modification Enhances Rice Adaptation to High Temperature

Tang, Y., Gao, C., Gao, Y., Yang, Y., Shi, B., Yu, J.-L., Lyu, C., Sun, B., Wang, H.-L., Xu, Y., et al. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.03.009 · Cited by 181

Impact of freeze–thaw cycles on soil structure and soil hydraulic properties

Leuther, F., & Schlüter, S. (2021) · SOIL · doi:10.5194/soil-7-179-2021 · Cited by 179

The Ecological Dynamics of Fecal Contamination and Salmonella Typhi and Salmonella Paratyphi A in Municipal Kathmandu Drinking Water

Karkey, A., Jombart, T., Walker, A. W., Thompson, C. N., Torres, A., Dongol, S., Thieu, N. T. V., Thanh, D. P., Ngoc, D. T. T., Vinh, P. V., et al. (2016) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0004346 · Cited by 178

Latent Variable Modeling with R

Finch, W. H., & French, B. F. (2015) · Routledge eBooks · doi:10.4324/9781315869797 · Cited by 178

Pan-cancer Convergence to a Small-Cell Neuroendocrine Phenotype that Shares Susceptibilities with Hematological Malignancies

Balanis, N. G., Sheu, K. M., Esedebe, F. N., Patel, S. J., Smith, B. A., Park, J. W., Alhani, S., Gomperts, B. N., Huang, J., Witte, O. N., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.06.005 · Cited by 179

Blood RNA analysis can increase clinical diagnostic rate and resolve variants of uncertain significance

Wai, H. A., Lord, J., Lyon, M., Gunning, A. C., Kelly, H., Cibin, P., Seaby, E. G., Spiers-Fitzgerald, K., Lye, J. J., Ellard, S., et al. (2020) · Genetics in Medicine · doi:10.1038/s41436-020-0766-9 · Cited by 183

Residue retention promotes soil carbon accumulation in minimum tillage systems: Implications for conservation agriculture

Li, Y., Li, Z., Chang, S. X., Cui, S., Jagadamma, S., Zhang, Q., & Cai, Y. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.140147 · Cited by 187

The diversity and co-occurrence network of soil bacterial and fungal communities and their implications for a new indicator of grassland degradation

Wu, X., Yang, J., Ruan, H., Wang, S., Yang, Y., Naeem, I., Wang, L., Liu, L., & Wang, D. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.107989 · Cited by 178

Genome-Wide Analysis of Cold Adaptation in Indigenous Siberian Populations

Cardona, A., Pagani, L., Antão, T., Lawson, D. J., Eichstaedt, C. A., Yngvadóttir, B., Shwe, M. T. T., Wee, J. T. S., Romero, I. G., Raj, S. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098076 · Cited by 181

New Constraints on Terrestrial Surface–Atmosphere Fluxes of Gaseous Elemental Mercury Using a Global Database

Agnan, Y., Dantec, T. L., Moore, C. W., Edwards, G. C., & Obrist, D. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b04013 · Cited by 177

Examining the Effect of Proctoring on Online Test Scores.

Alessio, H., Malay, N. J., Maurer, K., Bailer, A., & Rubin, B. (2017) · Online Learning · doi:10.24059/olj.v21i1.885 · Cited by 146

Recurrent patterns of microdiversity in a temperate coastal marine environment

Chafee, M. E., Fernàndez-Guerra, A., Buttigieg, P. L., Gerdts, G., Eren, A. M., Teeling, H., & Amann, R. (2017) · The ISME Journal · doi:10.1038/ismej.2017.165 · Cited by 174

Phylogeography of the second plague pandemic revealed through analysis of historical Yersinia pestis genomes

Spyrou, M. A., Keller, M., Tukhbatova, R. I., Scheib, C. L., Nelson, E. A., Andrades Valtueña, A., Neumann, G. U., Walker, D., Alterauge, A., Carty, N., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12154-0 · Cited by 182

Leveraging the antiviral type I interferon system as a first line of defense against SARS-CoV-2 pathogenicity

Hoagland, D. A., Møller, R., Uhl, S. A., Oishi, K., Frere, J. J., Golynker, I., Horiuchi, S., Panis, M., Blanco-Melo, D., Sachs, D. M., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.01.017 · Cited by 177

In vitro interaction network of a synthetic gut bacterial community

Weiß, A. S., Burrichter, A. G., Raj, A. C. D., von Strempel, A., Meng, C., Kleigrewe, K., Münch, P. C., Rössler, L., Huber, C., Eisenreich, W., et al. (2021) · The ISME Journal · doi:10.1038/s41396-021-01153-z · Cited by 180

Long-term histone lactylation connects metabolic and epigenetic rewiring in innate immune memory

Ziogas, A., Novakovic, B., Ventriglia, L., Galang, N., Tran, K. A., Li, W., Matzaraki, V., van Unen, N., Schlüter, T., Ferreira, A. V., et al. (2025) · Cell · doi:10.1016/j.cell.2025.03.048 · Cited by 191

Bacterial colonization stimulates a complex physiological response in the immature human intestinal epithelium

Hill, D. R., Huang, S., Nagy, M. S., Yadagiri, V. K., Fields, C., Thornhill, D., Bons, B., Dedhia, P. H., Chin, A. M., Tsai, Y.-H., et al. (2017) · eLife · doi:10.7554/elife.29132 · Cited by 179

Long-term passive acoustic recordings track the changing distribution of North Atlantic right whales (Eubalaena glacialis) from 2004 to 2014

Davis, G. E., Baumgartner, M. F., Bonnell, J. M., Bell, J. T., Berchok, C. L., Thornton, J. B., Brault, S., Buchanan, G. A., Charif, R. A., Cholewiak, D., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13359-3 · Cited by 176

Reducing Urban Greenhouse Gas Footprints

Pichler, P., Zwickel, T., Chávez, A., Kretschmer, T., Wallack, J. S., & Weisz, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-15303-x · Cited by 173

Dynamic models of choice

Heathcote, A., Lin, Y.-S., Reynolds, A., Strickland, L. J. G., Gretton, M. B., & Matzke, D. (2018) · Behavior Research Methods · doi:10.3758/s13428-018-1067-y · Cited by 186

Human milk oligosaccharides, milk microbiome and infant gut microbiome modulate neonatal rotavirus infection

Ramani, S., Stewart, C. J., Laucirica, D. R., Ajami, N. J., Robertson, B., Autran, C. A., Shinge, D., Rani, S. B., Anandan, S., Hu, L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07476-4 · Cited by 176

Outbreak analytics: a developing data science for informing the response to emerging pathogens

Polonsky, J. A., Baidjoe, A. Y., Kamvar, Z. N., Cori, A., Durski, K. N., Edmunds, W. J., Eggo, R. M., Funk, S., Kaiser, L., Keating, P., et al. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0276 · Cited by 178

Coronavirus disease (COVID-19) and the liver: a comprehensive systematic review and meta-analysis

Kumar, P. M., Mishra, S., Jha, D. K., Shukla, J., Choudhury, A. R., Mohindra, R., Mandavdhare, H. S., Dutta, U., & Sharma, V. (2020) · Hepatology International · doi:10.1007/s12072-020-10071-9 · Cited by 175

Binary pan-cancer classes with distinct vulnerabilities defined by pro- or anti-cancer YAP/TEAD activity

Pearson, J. D., Huang, K., Pacal, M., McCurdy, S. R., Lü, S., Aubry, A., Yu, T., Wadosky, K. M., Zhang, L., Wang, T., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.06.016 · Cited by 178

Does probability of occurrence relate to population dynamics?

Thuiller, W., Münkemüller, T., Schiffers, K. H., Georges, D., Dullinger, S., Eckhart, V. M., Edwards, T. C., Gravel, D., Künstler, G., Merow, C., et al. (2014) · Ecography · doi:10.1111/ecog.00836 · Cited by 186

Combining Transcriptome Assemblies from Multiple De Novo Assemblers in the Allo-Tetraploid Plant Nicotiana benthamiana

Nakasugi, K., Crowhurst, R. N., Bally, J., & Waterhouse, P. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091776 · Cited by 174

Differential meta-analysis of RNA-seq data from multiple studies

Rau, A., Marot, G., & Jaffrézic, F. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-91 · Cited by 167

Distinct aspects of frontal lobe structure mediate age-related differences in fluid intelligence and multitasking

Kievit, R., Davis, S. W., Mitchell, D. J., Taylor, J. R., Duncan, J., TYLER, L. K., Brayne, C., Bullmore, E. T., Calder, A. C., Cusack, R., et al. (2014) · Nature Communications · doi:10.1038/ncomms6658 · Cited by 177

Effects of cryopreservation on sperm viability, synthesis of reactive oxygen species, and DNA damage of bovine sperm

Gürler, H., Malama, E., Heppelmann, M., Çalışıcı, O., Leiding, C., Kastelic, J. P., & Bollwein, H. (2016) · Theriogenology · doi:10.1016/j.theriogenology.2016.02.007 · Cited by 174

Meaningful call combinations and compositional processing in the southern pied babbler

Engesser, S., Ridley, A. R., & Townsend, S. W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600970113 · Cited by 174

Manual for RSiena

Ripley, R. M., & Preciado, P. (2011) · Cited by 174

Comparison of wildfire smoke estimation methods and associations with cardiopulmonary‐related hospital admissions

Gan, R. W., Ford, B., Lassman, W., Pfister, G. G., Vaidyanathan, A., Fischer, E. V., Volckens, J., Pierce, J. R., & Magzamen, S. L. (2017) · GeoHealth · doi:10.1002/2017gh000073 · Cited by 177

The Stone Age Plague and Its Persistence in Eurasia

Valtueña, A. A., Mittnik, A., Key, F. M., Haak, W., Allmäe, R., Belinskij, A. B., Daubaras, M., Feldman, M., Jankauskas, R., Janković, I., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.10.025 · Cited by 182

Environmental filtering drives distinct continental atlases of soil archaea between dryland and wetland agricultural ecosystems

Jiao, S., Xu, Y., Zhang, J., & Lu, Y. (2019) · Microbiome · doi:10.1186/s40168-019-0630-9 · Cited by 169

A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding

Akbar, R., Robert, P. A., Pavlović, M., Jeliazkov, J. R., Snapkov, I., Slabodkin, A., Weber, C. R., Scheffer, L., Miho, E., Haff, I. H., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108856 · Cited by 191

Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape

Zappia, L., & Theis, F. J. (2021) · Genome biology · doi:10.1186/s13059-021-02519-4 · Cited by 176

Transdifferentiation and Proliferation in Two Distinct Hemocyte Lineages in Drosophila melanogaster Larvae after Wasp Infection

Ines, A., Vesala, L., Ihalainen, T. O., Vanha-aho, L.-M., Andó, I., Rämet, M., & Hultmark, D. (2016) · PLoS Pathogens · doi:10.1371/journal.ppat.1005746 · Cited by 174

Editor’s Highlight: Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS): A Web-Based Tool for Addressing the Challenges of Cross-Species Extrapolation of Chemical Toxicity

LaLone, C. A., Villeneuve, D. L., Lyons, D., Helgen, H. W., Robinson, S. L., Swintek, J. A., Saari, T. W., & Ankley, G. T. (2016) · Toxicological Sciences · doi:10.1093/toxsci/kfw119 · Cited by 173

XGR software for enhanced interpretation of genomic summary data, illustrated by application to immunological traits

Fang, H., Knezevic, B., Burnham, K. L., & Knight, J. C. (2016) · Genome Medicine · doi:10.1186/s13073-016-0384-y · Cited by 165

Immunomodulation-accelerated neuronal regeneration following selective rod photoreceptor cell ablation in the zebrafish retina

White, D. T., Sengupta, S., Saxena, M. T., Xu, Q., Hanes, J. S., Ding, D., Ji, H., & Mumm, J. S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617721114 · Cited by 167

Human and Extracellular DNA Depletion for Metagenomic Analysis of Complex Clinical Infection Samples Yields Optimized Viable Microbiome Profiles

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ggplot2

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Graphs with ggplot2

Ryan, C. (2021) · CRC Press eBooks · doi:10.1201/9781003106845-12

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PDF, ^. E. B. O. O. K. #. G. E. G. F. D. A. (. R. F. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.4189363

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Pages, D. I. [. G. E. G. F. D. A. (. R. F. (2020) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.4188991

Visualization with ggplot2

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