ggplot2: Elegant Graphics for Data Analysis

Tillage intensity affects total SOC stocks in boreo-temperate regions only in the topsoil—A systematic review using an ESM approach

Meurer, K. H. E., Haddaway, N., Bolinder, M. A., & Kätterer, T. (2017) · Earth-Science Reviews · doi:10.1016/j.earscirev.2017.12.015 · Cited by 183

Scalable Visualization Methods for Modern Generalized Additive Models

Fasiolo, M., Nedellec, R., Goude, Y., & Wood, S. N. (2019) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2019.1629942 · Cited by 171

The influence of a priori grouping on inference of genetic clusters: simulation study and literature review of the DAPC method

Miller, J. M., Cullingham, C. I., & Peery, R. M. (2020) · Heredity · doi:10.1038/s41437-020-0348-2 · Cited by 181

Fertility and mortality impacts of thermal stress from experimental heatwaves on different life stages and their recovery in a model insect

Sales, K., Vasudeva, R., & Gage, M. J. G. (2021) · Royal Society Open Science · doi:10.1098/rsos.201717 · Cited by 173

Chronic stress primes innate immune responses in mice and humans

Barrett, T. J., Corr, E. M., van Solingen, C., Schlamp, F., Brown, E. J., Koelwyn, G. J., Lee, A. H., Shanley, L. C., Spruill, T. M., Bozal, F., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109595 · Cited by 169

Restructuring higher taxonomy using broad-scale phylogenomics: The living Ophiuroidea

O’Hara, T. D., Hugall, A. F., Thuy, B., Stöhr, S., & Martynov, A. V. (2016) · Molecular Phylogenetics and Evolution · doi:10.1016/j.ympev.2016.12.006 · Cited by 172

Soil organic matter quality exerts a stronger control than stoichiometry on microbial substrate use efficiency along a latitudinal transect

Takriti, M., Wild, B., Schnecker, J., Mooshammer, M., Knoltsch, A., Lashchinskiy, N. N., Alves, R. E., Gentsch, N., Gittel, A., Mikutta, R., et al. (2018) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2018.02.022 · Cited by 170

Comparison between meteorological data and farmer perceptions of climate change and vulnerability in relation to adaptation

Hasan, M. K., & Kumar, L. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.02.028 · Cited by 170

Dynamics of genome reorganization during human cardiogenesis reveal an RBM20-dependent splicing factory

Bertero, A., Fields, P., Ramani, V., Bonora, G., Yardımcı, G. G., Reinecke, H., Pabon, L., Noble, W. S., Shendure, J., & Murry, C. E. (2019) · Nature Communications · doi:10.1038/s41467-019-09483-5 · Cited by 168

Multiple chromosomal inversions contribute to adaptive divergence of a dune sunflower ecotype

Huang, K., Andrew, R. L., Owens, G. L., Ostevik, K. L., & Rieseberg, L. H. (2020) · Molecular Ecology · doi:10.1111/mec.15428 · Cited by 174

Loss of Extreme Long-Range Enhancers in Human Neural Crest Drives a Craniofacial Disorder

Long, H. K., Osterwalder, M., Welsh, I. C., Hansen, K. L., Davies, J. O. J., Liu, Y. E., Koska, M., Adams, A. T., Aho, R., Arora, N., et al. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.09.001 · Cited by 166

Unearthing Neanderthal population history using nuclear and mitochondrial DNA from cave sediments

Vernot, B., Zavala, E. I., Gómez‐Olivencia, A., Jacobs, Z. L., Slon, V., Mafessoni, F., Romagné, F., Pearson, A., Petr, M., Sala, N., et al. (2021) · Science · doi:10.1126/science.abf1667 · Cited by 177

Derived variants at six genes explain nearly half of size reduction in dog breedsPreprint

Rimbault, M., Beale, H. C., Schoenebeck, J. J., Hoopes, B. C., Allen, J. J., Kilroy-Glynn, P., Wayne, R. K., Sutter, N. B., & Ostrander, E. A. (2013) · Genome Research · doi:10.1101/gr.157339.113 · Cited by 172

The microbiota in bronchoalveolar lavage from young children with chronic lung disease includes taxa present in both the oropharynx and nasopharynx

Marsh, R. L., Kaestli, M., Chang, A. B., Binks, M. J., Pope, C. E., Hoffman, L. R., & Smith-Vaughan, H. C. (2016) · Microbiome · doi:10.1186/s40168-016-0182-1 · Cited by 171

RIM-DB: a taxonomic framework for community structure analysis of methanogenic archaea from the rumen and other intestinal environments

Seedorf, H., Kittelmann, S., Henderson, G., & Janssen, P. H. (2014) · PeerJ · doi:10.7717/peerj.494 · Cited by 168

The Generalized Pairs Plot

Emerson, J. W., Green, W. A., Schloerke, B., Crowley, J., Cook, D., Hofmann, H., & Wickham, H. (2012) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2012.694762 · Cited by 169

Leaf and Plant Age Affects Photosynthetic Performance and Photoprotective Capacity

Bielczynski, L. W., Łącki, M. K., Hoefnagels, I., Gambin, A., & Croce, R. (2017) · PLANT PHYSIOLOGY · doi:10.1104/pp.17.00904 · Cited by 183

Extensive Core Microbiome in Drone-Captured Whale Blow Supports a Framework for Health Monitoring

Apprill, A. M., Miller, C. A., Moore, M. J., Durban, J. W., Fearnbach, H., & Barrett-Lennard, L. G. (2017) · mSystems · doi:10.1128/msystems.00119-17 · Cited by 173

Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesis

Athanasiadis, E. I., Botthof, J. G., Andrés-Terré, H., Ferreira, L., Lió, P., & Cvejic, A. (2017) · Nature Communications · doi:10.1038/s41467-017-02305-6 · Cited by 166

Long solids retention times and attached growth phase favor prevalence of comammox bacteria in nitrogen removal systems

Cotto, I., Dai, Z., Huo, L., Anderson, C. L., Vilardi, K. J., Ijaz, U. Z., Khunjar, W., Wilson, C., Clippeleir, H. D., Gilmore, K. R., et al. (2019) · Water Research · doi:10.1016/j.watres.2019.115268 · Cited by 167

Offshore and onshore wind turbine blade waste material forecast at a regional level in Europe until 2050

Lichtenegger, G., Rentizelas, A., Trivyza, N. L., & Siegl, S. (2020) · Waste Management · doi:10.1016/j.wasman.2020.03.018 · Cited by 169

The m6A methylome of SARS-CoV-2 in host cells

Liu, J., Xu, Y., Li, K., Ye, Q., Zhou, H.-Y., Sun, H., Li, X., Yu, L., Deng, Y., Li, R.-T., et al. (2021) · Cell Research · doi:10.1038/s41422-020-00465-7 · Cited by 170

Recurrent evolution of vertebrate transcription factors by transposase capture

Cosby, R. L., Judd, J., Zhang, R., Zhong, A., Garry, N., Pritham, E. J., & Feschotte, C. (2021) · Science · doi:10.1126/science.abc6405 · Cited by 173

Integration, exploration, and analysis of high‐dimensional single‐cell cytometry data using Spectre

Ashhurst, T. M., Marsh‐Wakefield, F., Putri, G., Spiteri, A. G., Shinko, D., Read, M. N., Smith, A. L., & King, N. J. C. (2021) · Cytometry Part A · doi:10.1002/cyto.a.24350 · Cited by 163

Overuse of diagnostic testing in healthcare: a systematic review

Müskens, J. L. J. M., Kool, R. B., van Dulmen, S. A., & Westert, G. P. (2021) · BMJ Quality & Safety · doi:10.1136/bmjqs-2020-012576 · Cited by 196

grapesAgri1: Collection of Shiny Apps for Data Analysis in Agriculture

Gopinath, P. P., Parsad, R., Joseph, B., & Adarsh, S. (2021) · The Journal of Open Source Software · doi:10.21105/joss.03437 · Cited by 169

SARS-CoV-2 inhibits induction of the MHC class I pathway by targeting the STAT1-IRF1-NLRC5 axis

Yoo, J., Sasaki, M., Cho, S., Kasuga, Y., Zhu, B., Ouda, R., Orba, Y., de Figueiredo, P., Sawa, H., & Kobayashi, K. S. (2021) · Nature Communications · doi:10.1038/s41467-021-26910-8 · Cited by 170

The Impact of Trade on Inequality in Developing Countries

Pavcnik, N. (2017) · doi:10.3386/w23878 · Cited by 169

Long-term social dynamics drive loss of function in pathogenic bacteria

Andersen, S. B., Marvig, R. L., Molin, S., Krogh Johansen, H., & Griffin, A. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508324112 · Cited by 168

Bioaccumulation and trophic dilution of human pharmaceuticals across trophic positions of an effluent-dependent wadeable stream

Du‌, B., Haddad, S. P., Luek, A., Scott, W. C., Saari, G. N., Kristofco, L. A., Connors, K. A., Rash, C., Rasmussen, J. B., Chambliss, C. K., et al. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0058 · Cited by 168

Impact of the invasive rust Puccinia psidii (myrtle rust) on native Myrtaceae in natural ecosystems in Australia

Carnegie, A. J., Kathuria, A., Pegg, G. S., Entwistle, P., Nagel, M., & Giblin, F. R. (2015) · Biological Invasions · doi:10.1007/s10530-015-0996-y · Cited by 168

Long‐term agricultural fertilization alters arbuscular mycorrhizal fungal community composition and barley ( H ordeum vulgare ) mycorrhizal carbon and phosphorus exchange

Williams, A., Manoharan, L., Rosenstock, N. P., Olsson, P. A., & Hedlund, K. (2016) · New Phytologist · doi:10.1111/nph.14196 · Cited by 176

Active microorganisms thrive among extremely diverse communities in cloud water

Amato, P., Joly, M., Besaury, L., Oudart, A., Taïb, N., Moné, A., Deguillaume, L., Delort, A. M., & Debroas, D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182869 · Cited by 185

Large-scale patterns of benthic marine communities in the Brazilian Province

Aued, A. W., Smith, F., Quimbayo, J. P., Cândido, D. V., Longo, G. O., Ferreira, C. E. L., Witman, J. D., Floeter, S. R., & Segal, B. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198452 · Cited by 177

Environmental DNA (eDNA) metabarcoding of pond water as a tool to survey conservation and management priority mammals

Harper, L. R., Handley, L. L., Carpenter, A. I., Ghazālī, M., Muri, C. D., Macgregor, C. J., Logan, T. W., Law, A., Breithaupt, T. D., Read, D. S., et al. (2019) · Biological Conservation · doi:10.1016/j.biocon.2019.108225 · Cited by 168

Assessment of Luminal and Basal Phenotypes in Bladder Cancer

Guo, C. C., Bondaruk, J. E., Yao, H., Wang, Z., Zhang, L., Lee, S., Lee, J.-G., Cogdell, D. E., Zhang, M., Yang, G., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-66747-7 · Cited by 170

FTO-mediated cytoplasmic m6Am demethylation adjusts stem-like properties in colorectal cancer cell

Relier, S., Ripoll, J., Guillorit, H., Amalric, A., Achour, C., Boissière‐Michot, F., Vialaret, J., Attina, A., Debart, F., Choquet, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21758-4 · Cited by 168

Occupancy maps of 208 chromatin-associated proteins in one human cell type

Partridge, E. C., Chhetri, S. B., Prokop, J. W., Ramaker, R. C., Jansen, C. S., Goh, S.-T., Mackiewicz, M., Newberry, K. M., Brandsmeier, L. A., Meadows, S. K., et al. (2020) · Nature · doi:10.1038/s41586-020-2023-4 · Cited by 154

IFN-gamma-induced PD-L1 expression in melanoma depends on p53 expression

Thiem, A., Hesbacher, S., Kneitz, H., di Primio, T., Heppt, M. V., Hermanns, H. M., Goebeler, M., Meierjohann, S., Houben, R., & Schrama, D. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1403-9 · Cited by 153

Navigating the garden of forking paths for data exclusions in fear conditioning research

Lonsdorf, T. B., Klingelhöfer-Jens, M., Andreatta, M., Beckers, T., Chalkia, A., Gerlicher, A., Jentsch, V. L., Meir Drexler, S., Mertens, G., Richter, J., et al. (2019) · eLife · doi:10.7554/elife.52465 · Cited by 164

Seasonal influence of physico-chemical parameters on phytoplankton diversity, community structure and abundance at Parangipettai coastal waters, Bay of Bengal, South East Coast of India

Manigandan, V., Martin, Y., Ayyappan, S., & Machendiranathan, M. (2017) · Oceanologia · doi:10.1016/j.oceano.2017.08.003 · Cited by 175

A review of riverine ecosystem service quantification: Research gaps and recommendations

Hanna, D. E. L., Tomscha, S. A., Dallaire, C. O., & Bennett, E. M. (2017) · Journal of Applied Ecology · doi:10.1111/1365-2664.13045 · Cited by 186

Association of Disease Severity With Skin Microbiome and Filaggrin Gene Mutations in Adult Atopic Dermatitis

Clausen, M., Agner, T., Lilje, B., Edslev, S. M., Johannesen, T. B., & Andersen, P. S. (2018) · JAMA Dermatology · doi:10.1001/jamadermatol.2017.5440 · Cited by 168

A meta-analysis indicates reduced predation pressure with increasing urbanization

Eötvös, C. B., Magura, T., & Löveï, G. L. (2018) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2018.08.010 · Cited by 167

Regulation of intestinal immunity and tissue repair by enteric glia

Progatzky, F., Shapiro, M., Chng, S. H., García-Cassani, B., Classon, C., Sevgi, S., Laddach, A., Bon‐Frauches, A. C., Lasrado, R., Rahim, M., et al. (2021) · Nature · doi:10.1038/s41586-021-04006-z · Cited by 168

Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning

Folberth, C., Baklanov, A., Balkovič, J., Skalský, R., Khabarov, N., & Obersteiner, M. (2019) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2018.09.021 · Cited by 161

Biogeographical differences in the influence of maternal microbial sources on the early successional development of the bovine neonatal gastrointestinal tract

Yeoman, C. J., Ishaq, S. L., Bichi, E., Olivo, S. K., Lowe, J., & Aldridge, B. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-21440-8 · Cited by 168

Successive annual influenza vaccination induces a recurrent oligoclonotypic memory response in circulating T follicular helper cells

Herati, R. S., Muselman, A., Vella, L., Bengsch, B., Parkhouse, K., Del Alcazar, D., Kotzin, J., Doyle, S. A., Tebas, P., Hensley, S. E., et al. (2017) · Science Immunology · doi:10.1126/sciimmunol.aag2152 · Cited by 167

3D-MoRSE descriptors explained

Devinyak, O., Havrylyuk, D., & Lesyk, R. (2014) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2014.10.006 · Cited by 166

Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking

McMurdie, P. J., & Holmes, S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu616 · Cited by 166

Widespread activity of multiple lineages of Usutu virus, western Europe, 2016

Cadar, D., Lühken, R., van der Jeugd, H. P., Garigliany, M., Ziegler, U., Keller, M., Lahoreau, J., Lachmann, L., Becker, N., Kik, M. J. L., et al. (2017) · Eurosurveillance · doi:10.2807/1560-7917.es.2017.22.4.30452 · Cited by 166

Fecal Microbiota Signatures Are Associated with Response to Ustekinumab Therapy among Crohn’s Disease Patients

Doherty, M. K., Ding, T., Koumpouras, C. C., Telesco, S., Monast, C. S., Das, A., Brodmerkel, C. M., & Schloss, P. D. (2018) · mBio · doi:10.1128/mbio.02120-17 · Cited by 168

Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas

Way, G. P., Sánchez-Vega, F., La, K., Armenia, J., Chatila, W. K., Luna, A., Sander, C., Cherniack, A. D., Mina, M., Ciriello, G., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.046 · Cited by 172

LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property

Han, S., Liang, Y., Ma, Q., Xu, Y., Zhang, Y., Du, W., Wang, C., & Li, Y. (2018) · Briefings in Bioinformatics · doi:10.1093/bib/bby065 · Cited by 165

Hemorrhagic transformation is associated with poor functional outcome in patients with acute ischemic stroke due to a large vessel occlusion

van Kranendonk, K. R., Treurniet, K. M., Boers, A. M. M., Berkhemer, O. A., van den Berg, L. A., Chalos, V., Lingsma, H. F., van Zwam, W. H., van der Lugt, A., van Oostenbrugge, R. J., et al. (2018) · Journal of NeuroInterventional Surgery · doi:10.1136/neurintsurg-2018-014141 · Cited by 166

A dynamic continental moisture gradient drove Amazonian bird diversification

Silva, S. M., Peterson, A. T., Carneiro, L. S., Burlamaqui, T. C. T., RIBAS, C. C., Sousa‐Neves, T., Miranda, L., Fernandes, A. M., d’Horta, F. M., Araújo-Silva, L. E., et al. (2019) · Science Advances · doi:10.1126/sciadv.aat5752 · Cited by 166

RADICL-seq identifies general and cell type–specific principles of genome-wide RNA-chromatin interactions

Bonetti, A., Agostini, F., Suzuki, A. M., Hashimoto, K., Pascarella, G., Gimenez, J., Roos, L., Nash, A. J., Ghilotti, M., Cameron, C. J. F., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14337-6 · Cited by 168

Drought and plant litter chemistry alter microbial gene expression and metabolite production

Malik, A. A., Swenson, T. L., Weihe, C., Morrison, E. W., Martiny, J. B. H., Brodie, E., Northen, T. R., & Allison, S. (2020) · The ISME Journal · doi:10.1038/s41396-020-0683-6 · Cited by 174

Exploring the Complexity of Death-Censored Kidney Allograft Failure

Mayrdorfer, M., Liefeldt, L., Wu, K., Rudolph, B. D., Zhang, Q., Friedersdorff, F., Lachmann, N., Schmidt, D., Osmanodja, B., Naik, M. G., et al. (2021) · Journal of the American Society of Nephrology · doi:10.1681/asn.2020081215 · Cited by 166

Neuronal brain-region-specific DNA methylation and chromatin accessibility are associated with neuropsychiatric trait heritability

Rizzardi, L. F., Hickey, P. F., Rodriguez DiBlasi, V., Tryggvadóttir, R., Callahan, C. M., Idrizi, A., Hansen, K. D., & Feinberg, A. P. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0297-8 · Cited by 146

RNAi screens in mice identify physiological regulators of oncogenic growth

Beronja, S., Janki, P., Heller, E., Lien, W., Keyes, B. E., Oshimori, N., & Fuchs, E. V. (2013) · Nature · doi:10.1038/nature12464 · Cited by 162

Effects of salvage logging and sanitation felling on bark beetle (Ips typographus L.) infestations

Stadelmann, G., Bugmann, H. K. M., Meier, F., Wermelinger, B., & Bigler, C. (2013) · Forest Ecology and Management · doi:10.1016/j.foreco.2013.06.003 · Cited by 165

In-depth resistome analysis by targeted metagenomics

Lanza, V. F., Baquero, F., Martínez, J. L., Ramos, R., González‐Zorn, B., Andremont, A., Valenzuela, A. S., Ehrlich, S. D., Kennedy, S., Ruppé, É., et al. (2018) · Microbiome · doi:10.1186/s40168-017-0387-y · Cited by 171

Deciphering Pancreatic Islet β Cell and α Cell Maturation Pathways and Characteristic Features at the Single-Cell Level

Qiu, W., Zhang, Y.-W., Ye, F., Li, L., Yang, L., & Xu, C. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.04.003 · Cited by 162

Does public awareness increase support for invasive species management? Promising evidence across taxa and landscape types

Novoa, A., Dehnen‐Schmutz, K., Fried, J., & Vimercati, G. (2017) · Biological Invasions · doi:10.1007/s10530-017-1592-0 · Cited by 178

GATA2/3-TFAP2A/C transcription factor network couples human pluripotent stem cell differentiation to trophectoderm with repression of pluripotency

Krendl, C., Shaposhnikov, D., Rishko, V. M., Ori, C., Ziegenhain, C., Sass, S., Simon, L. M., Müller, N. S., Straub, T., Brooks, K. E., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708341114 · Cited by 169

A prospective randomized, double-blind, placebo-controlled, dose-response relationship study to investigate efficacy of fructo-oligosaccharides (FOS) on human gut microflora

Tandon, D., Haque, M. M., Gote, M., Jain, M., Bhaduri, A., Dubey, A. K., & Mande, S. S. (2019) · Scientific Reports · doi:10.1038/s41598-019-41837-3 · Cited by 176

Three-Dimensional Genomic Structure and Cohesin Occupancy Correlate with Transcriptional Activity during Spermatogenesis

Vara, C., Paytuví-Gallart, A., Cuartero, Y., Dily, F. L., Garcia, F., Salvà-Castro, J., Gómez-H, L., Julià, E., Moutinho, C., Cigliano, R. A., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.06.037 · Cited by 162

The µMCTQ: An Ultra-Short Version of the Munich ChronoType Questionnaire

Ghotbi, N., Pilz, L. K., Winnebeck, E. C., Vetter, C., Zerbini, G., Lenssen, D., Frighetto, G., Salamanca, M., Costa, R., Montagnese, S., et al. (2019) · Journal of Biological Rhythms · doi:10.1177/0748730419886986 · Cited by 159

Pembrolizumab in patients with non-small-cell lung cancer of performance status 2 (PePS2): a single arm, phase 2 trial

Middleton, G., Brock, K., Savage, J. S., Mant, R., Summers, Y., Conibear, J., Shah, R. N. H., Ottensmeier, C. H. H., Shaw, P. H., Lee, S. M., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30033-3 · Cited by 168

Single cell transcriptomic analysis of human pluripotent stem cell chondrogenesis

Wu, C., Dicks, A. R., Steward, N. S., Tang, R., Katz, D. B., Choi, Y., & Guilak, F. (2021) · Nature Communications · doi:10.1038/s41467-020-20598-y · Cited by 169

Who benefits from urban green spaces during times of crisis? Perception and use of urban green spaces in New York City during the COVID-19 pandemic

Lopez, B. E., Kennedy, C. L., Field, C., & McPhearson, T. (2021) · Urban forestry & urban greening · doi:10.1016/j.ufug.2021.127354 · Cited by 242

HGT is widespread in insects and contributes to male courtship in lepidopterans

Li, Y., Liu, Z., Liu, C., Shi, Z., Pang, L., Chen, C., Chen, Y., Pan, R., Zhou, W., Chen, X., et al. (2022) · Cell · doi:10.1016/j.cell.2022.06.014 · Cited by 168

Splitting Methods for Convex ClusteringPreprint

Chi, E. C., & Lange, K. L. (2014) · doi:10.6084/m9.figshare.1200074.v1 · Cited by 165

Subclass-specific IgG glycosylation is associated with markers of inflammation and metabolic health

Plomp, R., Ruhaak, L. R., Uh, H., Reiding, K. R., Selman, M. H. J., Houwing‐Duistermaat, J. J., Slagboom, P. E., Beekman, M., & Wuhrer, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-12495-0 · Cited by 167

N6-methyldeoxyadenine is a transgenerational epigenetic signal for mitochondrial stress adaptation

Ma, C., Niu, R., Huang, T., Shao, L.-W., Peng, Y., Ding, W., Wang, Y., Jia, G., He, C., Li, C., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0238-5 · Cited by 167

The ChAHP Complex Counteracts Chromatin Looping at CTCF Sites that Emerged from SINE Expansions in Mouse

Kaaij, L. J. T., Mohn, F., van der Weide, R. H., de Wit, E., & Bühler, M. (2019) · Cell · doi:10.1016/j.cell.2019.08.007 · Cited by 161

Gingival phenotype modification therapies on natural teeth: A network meta‐analysis

Barootchi, S., Tavelli, L., Zucchelli, G., Giannobile, W. V., & Wang, H. (2020) · Journal of Periodontology · doi:10.1002/jper.19-0715 · Cited by 183

Effect of Testosterone Replacement on Response to Sildenafil Citrate in Men With Erectile Dysfunction: A Parallel, Randomized Trial

Spitzer, M., Basaria, S., Travison, T. G., Davda, M. N., Paley, A., Cohen, B., Mazer, N. A., Knapp, P. E., Hanka, S., Lakshman, K. M., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-10-201211200-00004 · Cited by 163

Migration‐related phenotypic divergence is associated with epigenetic modifications in rainbow trout

Baerwald, M. R., Meek, M. H., Stephens, M. R., Nagarajan, R. P., Goodbla, A. M., Tomalty, K. M. H., Thorgaard, G. H., May, B. P., & Nichols, K. M. (2015) · Molecular Ecology · doi:10.1111/mec.13231 · Cited by 171

Comparison of Dabigatran and Warfarin in Patients With Atrial Fibrillation and Valvular Heart Disease

Ezekowitz, M. D., Nagarakanti, R., Noack, H., Brueckmann, M., Litherland, C., Jacobs, M., Clemens, A., Reilly, P. A., Connolly, S. J., Yusuf, S., et al. (2016) · Circulation · doi:10.1161/circulationaha.115.020950 · Cited by 165

Utility of neuron-specific enolase in traumatic brain injury; relations to S100B levels, outcome, and extracranial injury severity

Thelin, E. P., Jeppsson, E., Frostell, A., Svensson, M. A., Mondello, S., Bellander, B., & Nelson, D. (2016) · Critical Care · doi:10.1186/s13054-016-1450-y · Cited by 163

TORMES: an automated pipeline for whole bacterial genome analysis

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Proximal recolonization by self-renewing microglia re-establishes microglial homeostasis in the adult mouse brain

Zhan, L., Krabbe, G., Du, F., Jones, I., Reichert, M. C., Telpoukhovskaia, M., Kodama, L., Wang, C., Cho, S.-H., Sayed, F., et al. (2019) · PLOS Biology · doi:10.1371/journal.pbio.3000134 · Cited by 163

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Stokes, E. C., & Seto, K. C. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111430 · Cited by 171

Targeting DNA Damage Response and Replication Stress in Pancreatic Cancer

Dreyer, S. B., Upstill‐Goddard, R., Paulus-Hock, V., Paris, C., Lampraki, E.-M., Dray, E. V., Serrels, B., Caligiuri, G., Rebus, S., Plenker, D., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.09.043 · Cited by 165

Gut microbes impact stroke severity via the trimethylamine N-oxide pathway

Zhu, W., Romano, K. A., Li, L., Buffa, J. A., Sangwan, N., Prakash, P., Tittle, A. N., Li, X. S., Fu, X., Androjna, C., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.05.002 · Cited by 167

Mobile air monitoring data-processing strategies and effects on spatial air pollution trends

Brantley, H., Hagler, G. S. W., Kimbrough, S., Williams, R. W., Mukerjee, S., & Neas, L. (2014) · Atmospheric measurement techniques · doi:10.5194/amt-7-2169-2014 · Cited by 162

A method for counting PCR template molecules with application to next-generation sequencing

Casbon, J. A., Osborne, R. J., Brenner, S., & Lichtenstein, C. P. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr217 · Cited by 158

A microbiome case-control study of recurrent acute otitis media identified potentially protective bacterial genera

Lappan, R. J., Imbrogno, K., Sikazwe, C. T., Anderson, D. R., Mok, D., Coates, H. L. C., Vijayasekaran, S., Bumbak, P., Blyth, C. C., Jamieson, S. E., et al. (2018) · BMC Microbiology · doi:10.1186/s12866-018-1154-3 · Cited by 165

Amount and time exert independent influences on intertemporal choice

Amasino, D. R., Sullivan, N., Kranton, R., & Huettel, S. A. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0537-2 · Cited by 125

High plant diversity and slow assembly of old-growth grasslands

Nerlekar, A. N., & Veldman, J. W. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1922266117 · Cited by 172

Single-cell analysis reveals that stochasticity and paracrine signaling control interferon-alpha production by plasmacytoid dendritic cells

Wimmers, F., Subedi, N., van Buuringen, N., Heister, D., Vivié, J., Beeren-Reinieren, I., Woestenenk, R., Dolstra, H., Piruska, A., Jacobs, J. F. M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05784-3 · Cited by 150

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

Gene Expression Profiles Normalized in Psoriatic Skin by Treatment with Brodalumab, a Human Anti–IL-17 Receptor Monoclonal Antibody

Russell, C. B., Rand, H. A., Bigler, J., Kerkof, K., Timour, M., Bautista, E., Krueger, J. G., Salinger, D. H., Welcher, A. A., & Martin, D. A. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1301737 · Cited by 161

Low-fat, plant-based diet in multiple sclerosis: A randomized controlled trial

Yadav, V., Marracci, G., Kim, E., Spain, R., Cameron, M. H., Overs, S. E., Riddehough, A., Li, D. K. B., McDougall, J., Lovera, J. F., et al. (2016) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2016.07.001 · Cited by 159

Antibiotics impact plant traits, even at small concentrations

Minden, V., Deloy, A., Volkert, A. M., Leonhardt, S. D., & Pufal, G. (2017) · AoB Plants · doi:10.1093/aobpla/plx010 · Cited by 161

Perceived age discrimination across age in Europe: From an ageing society to a society for all ages.

Bratt, C., Abrams, D., Swift, H. J., Vauclair, C., & Marques, S. (2017) · Developmental Psychology · doi:10.1037/dev0000398 · Cited by 196

Long-read sequencing reveals the complex splicing profile of the psychiatric risk gene CACNA1C in human brain

Clark, M. B., Wrzesiński, T., Garcia, A. B., Hall, N., Kleinman, J. E., Hyde, T. M., Weinberger, D. R., Harrison, P. J., Haerty, W., & Tunbridge, E. M. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0583-1 · Cited by 155

Comparative genomic analysis of Flavobacteriaceae: insights into carbohydrate metabolism, gliding motility and secondary metabolite biosynthesis

Gavriilidou, A., Gutleben, J., Versluis, D., Forgiarini, F., van Passel, M. W. J., Ingham, C. J., Smidt, H., & Sipkema, D. (2020) · BMC Genomics · doi:10.1186/s12864-020-06971-7 · Cited by 168

ggplot2

Wickham, H. (2016) · Use R! · doi:10.1007/978-3-319-24277-4 · Cited by 34,873

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

Paul, A. (2025) · Chapman & Hall/CRC eBooks · doi:10.1201/9781003423386-8