ggplot2: Elegant Graphics for Data Analysis

Ultrahigh-Throughput Multiplexing and Sequencing of >500-Base-Pair Amplicon Regions on the Illumina HiSeq 2500 Platform

Holm, J. B., Humphrys, M. S., Robinson, C. K., Settles, M. L., Ott, S. H., Fu, L., Yang, H., Gajer, P., He, X., McComb, E. J., et al. (2019) · mSystems · doi:10.1128/msystems.00029-19 · Cited by 154

Reduced genetic potential for butyrate fermentation in the gut microbiome of infants who develop allergic sensitization

Cait, A., Cardenas, E., Dimitriu, P. A., Amenyogbe, N., Dai, D. L., Cait, J., Sbihi, H., Stiemsma, L. T., Subbarao, P., Mandhane, P. J., et al. (2019) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2019.06.029 · Cited by 149

A global meta-analysis of grazing effects on plant richness

Gao, J., & Carmel, Y. (2020) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2020.107072 · Cited by 155

The sources and transmission routes of microbial populations throughout a meat processing facility

Zwirzitz, B., Wetzels, S. U., Dixon, E. D., Stessl, B., Zaiser, A., Rabanser, I., Thalguter, S., Conrady, B., Roch, F., Strachan, C. R., et al. (2020) · npj Biofilms and Microbiomes · doi:10.1038/s41522-020-0136-z · Cited by 158

Barcoding reveals complex clonal behavior in patient-derived xenografts of metastatic triple negative breast cancer

Merino, D., Weber, T. S., Serrano, A., Vaillant, F., Liu, K., Pal, B., Di Stefano, L., Schreuder, J., Lin, D., Chen, Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08595-2 · Cited by 145

Greater Temperature and Precipitation Extremes Intensify Western U.S. Droughts, Wildfire Severity, and Sierra Nevada Tree Mortality

Crockett, J. L., & Westerling, A. L. (2017) · Journal of Climate · doi:10.1175/jcli-d-17-0254.1 · Cited by 145

A meta-analysis reveals the environmental and host factors shaping the structure and function of the shrimp microbiota

Cornejo‐Granados, F., Gallardo-Becerra, L., Leonardo-Reza, M., Ochoa‐Romo, J. P., & Ochoa‐Leyva, A. (2018) · PeerJ · doi:10.7717/peerj.5382 · Cited by 145

Association between negative cognitive bias and depression: A symptom-level approach.

Beevers, C. G., Mullarkey, M. C., Dainer‐Best, J., Stewart, R. A., Labrada, J., Allen, J. J. B., McGeary, J. E., & Shumake, J. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000405 · Cited by 158

Macrophages are metabolically heterogeneous within the tumor microenvironment

Geeraerts, X., Fernández-García, J., Hartmann, F. J., de Goede, K. E., Martens, L., Elkrim, Y., Debraekeleer, A., Stijlemans, B., Vandekeere, A., Rinaldi, G., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110171 · Cited by 151

High-throughput non-destructive biomass determination during early plant development in maize under field conditions

Montes, J. M., Technow, F., Dhillon, B. S., Mauch, F., & Melchinger, A. E. (2011) · Field Crops Research · doi:10.1016/j.fcr.2010.12.017 · Cited by 144

Deducer: A Data Analysis GUI forR

Fellows, I. (2012) · Journal of Statistical Software · doi:10.18637/jss.v049.i08 · Cited by 144

Are Current Atomistic Force Fields Accurate Enough to Study Proteins in Crowded Environments?

Petrov, D., & Žagrović, B. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003638 · Cited by 145

Subjective Impressions Do Not Mirror Online Reading Effort: Concurrent EEG-Eyetracking Evidence from the Reading of Books and Digital Media

Kretzschmar, F., Pleimling, D., Hosemann, J., Füssel, S., Bornkessel‐Schlesewsky, I., & Schlesewsky, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056178 · Cited by 142

Mesophotic depths as refuge areas for fishery-targeted species on coral reefs

Lindfield, S. J., Harvey, E. S., Halford, A. R., & McIlwain, J. L. (2015) · Coral Reefs · doi:10.1007/s00338-015-1386-8 · Cited by 144

Degrons in cancer

Mészáros, B., Kumar, M., Gibson, T. J., Uyar, B., & Dosztányi, Z. (2017) · Science Signaling · doi:10.1126/scisignal.aak9982 · Cited by 147

Sewers as potential reservoirs of antibiotic resistance

Auguet, O., Pijuan, M., Borrego, C., Rodríguez‐Mozaz, S., Triadó–Margarit, X., Giustina, S. V. D., & Gutiérrez, O. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.06.153 · Cited by 144

How ecosystems change following invasion by Robinia pseudoacacia: Insights from soil chemical properties and soil microbial, nematode, microarthropod and plant communities

Lazzaro, L., Mazza, G., d’Errico, G., Fabiani, A., Giuliani, C., Inghilesi, A. F., Lagomarsino, A., Landi, S., Lastrucci, L., Pastorelli, R., et al. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.10.017 · Cited by 144

Co-occurrence Networks Among Bacteria and Microbial Eukaryotes of Lake Baikal During a Spring Phytoplankton Bloom

Mikhailov, I. S., Zakharova, Y., Bukin, Y., Galachyants, Y., Petrova, D. P., Владимировна, С. М., & Likhoshway, Y. V. (2018) · Microbial Ecology · doi:10.1007/s00248-018-1212-2 · Cited by 144

Diagnostic yield of genetic tests in epilepsy

Fernández, I. S., Loddenkemper, T., Gaínza‐Lein, M., Sheidley, B. R., & Poduri, A. (2019) · Neurology · doi:10.1212/wnl.0000000000006850 · Cited by 148

Whole-Genome Sequencing Allows for Improved Identification of Persistent Listeria monocytogenes in Food-Associated Environments

Stasiewicz, M. J., Oliver, H. F., Wiedmann, M., & den Bakker, H. C. (2015) · Applied and Environmental Microbiology · doi:10.1128/aem.01049-15 · Cited by 151

A general method to derive robust organ-specific gene expression-based differentiation indices: application to thyroid cancer diagnostic

Tomás, G., Tarabichi, M., Gacquer, D., Hébrant, A., Dom, G., Dumont, J. E., Keutgen, X. M., Fahey, T. J., Maenhaut, C., & Detours, V. (2012) · Oncogene · doi:10.1038/onc.2011.626 · Cited by 143

Normative Development of White Matter Tracts: Similarities and Differences in Relation to Age, Gender, and Intelligence

Clayden, J. D., Jentschke, S., Muñoz, M., Cooper, J. M., Chadwick, M. J., Banks, T., Clark, C., & Vargha‐Khadem, F. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr243 · Cited by 143

The BET Protein BRD2 Cooperates with CTCF to Enforce Transcriptional and Architectural Boundaries

Hsu, S. C., Gilgenast, T. G., Bartman, C., Edwards, C. R., Stonestrom, A. J., Huang, P., Emerson, D. J., Evans, P., Werner, M. T., Keller, C. A., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.02.027 · Cited by 143

Association of Antenatal Steroid Exposure With Survival Among Infants Receiving Postnatal Life Support at 22 to 25 Weeks’ Gestation

Ehret, D. E. Y., Edwards, E. M., Greenberg, L. T., Bernstein, I. M., Buzas, J. S., Soll, R. F., & Horbar, J. D. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.3235 · Cited by 143

Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections

Burton, R. J., Albur, M., Eberl, M., & Cuff, S. M. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0878-9 · Cited by 143

Stable distinct core eukaryotic viromes in different mosquito species from Guadeloupe, using single mosquito viral metagenomics

Shi, C., Beller, L., Deboutte, W., Yinda, C. K., Delang, L., Vega-Rúa, A., Failloux, A., & Matthijnssens, J. (2019) · Microbiome · doi:10.1186/s40168-019-0734-2 · Cited by 143

Neuroinflammation-Associated Aspecific Manipulation of Mouse Predator Fear by Toxoplasma gondii

Boillat, M., Hammoudi, P., Dogga, S. K., Pagès, S., Goubran, M., Rodríguez, I., & Soldati‐Favre, D. (2020) · Cell Reports · doi:10.1016/j.celrep.2019.12.019 · Cited by 146

Systematic dissection of biases in whole-exome and whole-genome sequencing reveals major determinants of coding sequence coverage

Barbitoff, Y. A., Polev, D. E., Glotov, A. S., Serebryakova, E. A., Shcherbakova, I. V., Kiselev, A. M., Kostareva, A. A., Glotov, O. S., & Predeus, A. V. (2020) · Scientific Reports · doi:10.1038/s41598-020-59026-y · Cited by 149

Multiple Integrated Root Phenotypes Are Associated with Improved Drought Tolerance

Klein, S. P., Schneider, H., Perkins, A. C., Brown, K. M., & Lynch, J. P. (2020) · PLANT PHYSIOLOGY · doi:10.1104/pp.20.00211 · Cited by 152

Genome evolution and the emergence of pathogenicity in avian Escherichia coli

Mageiros, L., Méric, G., Bayliss, S., Pensar, J., Pascoe, B., Mourkas, E., Calland, J. K., Yahara, K., Murray, S., Wilkinson, T. S., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20988-w · Cited by 143

pr2‐primers: An 18S rRNA primer database for protists

Vaulot, D., Geisen, S., Mahé, F., & Bass, D. (2021) · Molecular Ecology Resources · doi:10.1111/1755-0998.13465 · Cited by 143

The rise and fall of African rice cultivation revealed by analysis of 246 new genomes

Cubry, P., Tranchant-Dubreuil, C., Thuillet, A.-C., Monat, C., Ndjiondjop, M.-N., Labadie, K., Cruaud, C., Engelen, S., Scarcelli, N., Rhoné, B., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.05.066 · Cited by 142

Large-scale network analysis reveals the sequence space architecture of antibody repertoires

Miho, E., Roškar, R., Greiff, V., & Reddy, S. T. (2019) · Nature Communications · doi:10.1038/s41467-019-09278-8 · Cited by 138

Hamstring strength and flexibility after hamstring strain injury: a systematic review and meta-analysis

Maniar, N., SHIELD, A. J., Williams, M. D., Timmins, R. G., & Opar, D. A. (2016) · British Journal of Sports Medicine · doi:10.1136/bjsports-2015-095311 · Cited by 142

Team situation awareness within the context of human-autonomy teaming

Demir, M., McNeese, N. J., & Cooke, N. J. (2016) · Cognitive Systems Research · doi:10.1016/j.cogsys.2016.11.003 · Cited by 142

Trends in food insecurity for adults with cardiometabolic disease in the United States: 2005-2012

Berkowitz, S. A., Berkowitz, T. S. Z., Meigs, J. B., & Wexler, D. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0179172 · Cited by 142

dendroTools: R package for studying linear and nonlinear responses between tree-rings and daily environmental data

Jevšenak, J., & Levanič, T. (2018) · Dendrochronologia · doi:10.1016/j.dendro.2018.01.005 · Cited by 142

MUTE Directly Orchestrates Cell-State Switch and the Single Symmetric Division to Create Stomata

Han, S., Qi, X., Sugihara, K., Dang, J. H., Endo, T. A., Miller, K. L., Kim, E., Miura, T., & Torii, K. U. (2018) · Developmental Cell · doi:10.1016/j.devcel.2018.04.010 · Cited by 142

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

Insulin-stimulated glucose uptake in skeletal muscle, adipose tissue and liver: a positron emission tomography study

Honka, M.-J., Latva-Rasku, A., Bucci, M., Virtanen, K. A., Hannukainen, J. C., Kalliokoski, K. K., & Nuutila, P. (2018) · European Journal of Endocrinology · doi:10.1530/eje-17-0882 · Cited by 140

Global phylogeny of Treponema pallidum lineages reveals recent expansion and spread of contemporary syphilis

Beale, M. A., Marks, M., Cole, M. J., Lee, M.-K., Pitt, R., Ruis, C., Balla, E., Crucitti, T., Ewens, M., Fernández-Naval, C., et al. (2021) · Nature Microbiology · doi:10.1038/s41564-021-01000-z · Cited by 135

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

randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials

Uschner, D., Schindler, D., Hilgers, R.-D., & Heussen, N. (2018) · Journal of Statistical Software · doi:10.18637/jss.v085.i08 · Cited by 142

Investigating the Dynamics of Suicidal Ideation: Preliminary Findings From a Study Using Ecological Momentary Assessments in Psychiatric Inpatients

Hallensleben, N., Spangenberg, L., Forkmann, T., Rath, D., Hegerl, U., Kersting, A., Kallert, T. W., & Glaesmer, H. (2018) · Crisis · doi:10.1027/0227-5910/a000464 · Cited by 125

Behavioral, Modeling, and Electrophysiological Evidence for Supramodality in Human Metacognition

Faivre, N., Filevich, E., Solovey, G., Kühn, S., & Blanke, O. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0322-17.2017 · Cited by 129

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

TDP-43 real-time quaking induced conversion reaction optimization and detection of seeding activity in CSF of amyotrophic lateral sclerosis and frontotemporal dementia patients

Scialò, C., Tran, T. H., Salzano, G., Novi, G., Caponnetto, C., Chiò, A., Calvo, A., Canosa, A., Moda, F., Caroppo, P., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa142 · Cited by 123

Mining microbes for mental health: determining the role of microbial metabolic pathways in human brain health and disease

Spichak, S., Bastiaanssen, T. F. S., Berding, K., Vlckova, K., Clarke, G., Dinan, T. G., & Cryan, J. F. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.044 · Cited by 127

Functional Analysis and Transcriptomic Profiling of iPSC-Derived Macrophages and Their Application in Modeling Mendelian Disease

Zhang, H., Xue, C., Shah, R., Bermingham, K., Hinkle, C. C., Li, W., Rodrigues, A., Tabita-Martinez, J., Millar, J. S., Cuchel, M., et al. (2015) · Circulation Research · doi:10.1161/circresaha.117.305860 · Cited by 126

Persistence of plastic debris and its colonization by bacterial communities after two decades on the abyssal seafloor

Krause, S., Molari, M., Gorb, E. V., Gorb, S. N., Kossel, E., & Haeckel, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-66361-7 · Cited by 125

Methyl-compound use and slow growth characterize microbial life in 2-km-deep subseafloor coal and shale beds

Trembath-Reichert, E., Morono, Y., Ijiri, A., Hoshino, T., Dawson, K. S., Inagaki, F., & Orphan, V. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707525114 · Cited by 112

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Hartmann, F. J., Babdor, J., Gherardini, P. F., Amir, E.-A. D., Jones, K., Sahaf, B., Marquez, D. M., Krutzik, P., O’Donnell, E., Sigal, N., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.06.049 · Cited by 124

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

Long-Term Cold Adaptation Does Not Require FGF21 or UCP1

Keipert, S., Kutschke, M., Ost, M., Schwarzmayr, T., van Schothorst, E. M., Lamp, D., Brachthäuser, L., Hamp, I., Mazibuko, S. E., Hartwig, S., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.07.016 · Cited by 122

Shotgun Metagenomics of a Water Kefir Fermentation Ecosystem Reveals a Novel Oenococcus Species

Verce, M., De Vuyst, L., & Weckx, S. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00479 · Cited by 121

DCE-MRI blood–brain barrier assessment in acute ischemic stroke

Villringer, K., Sanz Cuesta, B. E., Ostwaldt, A.-C., Grittner, U., Brunecker, P., Khalil, A. A., Schindler, K., Eisenblätter, O., Audebert, H., & Fiebach, J. B. (2017) · Neurology · doi:10.1212/wnl.0000000000003566 · Cited by 119

MLV integration site selection is driven by strong enhancers and active promoters

LaFave, M. C., Varshney, G. K., Gildea, D. E., Wolfsberg, T. G., Baxevanis, A. D., & Burgess, S. M. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1399 · Cited by 114

Patterns of Genomic Variation in the Opportunistic Pathogen Candida glabrata Suggest the Existence of Mating and a Secondary Association with Humans

Carreté, L., Ksiezopolska, E., Pegueroles, C., Gómez-Molero, E., Saus, E., Iraola-Guzmán, S., Loska, D., Bader, O., Fairhead, C., & Gabaldón, T. (2018) · Current Biology · doi:10.1016/j.cub.2017.11.027 · Cited by 118

Acquired alexithymia following damage to the anterior insula

Hogeveen, J., Bird, G., Chau, A., Krueger, F., & Grafman, J. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.01.021 · Cited by 116

A spatial vascular transcriptomic, proteomic, and phosphoproteomic atlas unveils an angiocrine Tie-Wnt signaling axis in the liver

Inverso, D., Shi, J., Lee, K. H., Jakab, M., Ben-Moshe, S., Kulkarni, S. R., Schneider, M., Wang, G., Komeili, M., Vélez, P. A., et al. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.05.001 · Cited by 114

Oligodendrocytes produce amyloid-β and contribute to plaque formation alongside neurons in Alzheimer’s disease model mice

Sasmita, A. O., Depp, C., Nazarenko, T., Sun, T., Siems, S. B., Ong, E. C., Nkeh, Y. B., Böhler, C., Yu, X., Bues, B., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01730-3 · Cited by 125

Island songbirds as windows into evolution in small populations

Leroy, T., Rousselle, M., Tilak, M.-K., Caizergues, A. E., Scornavacca, C., Recuerda, M., Fuchs, J., Illera, J. C., De Swardt, D. H., Blanco, G., et al. (2021) · Current Biology · doi:10.1016/j.cub.2020.12.040 · Cited by 113

Is self-generated thought a means of social problem solving?

Ruby, F. J. M., Smallwood, J., Sackur, J., & Singer, T. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00962 · Cited by 105

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

Evolutionary analysis of the most polymorphic gene family in falciparum malaria

Otto, T. D., Assefa, S. A., Böhme, U., Sanders, M. J., Kwiatkowski, D. P., Pf3k consortium, Berriman, M., & Newbold, C. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15590.1 · Cited by 90

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

A tutorial on RxODE: simulating differential equation pharmacometric models in R

Wang, W., Hallow, K., & James, D. (2016) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12052 · Cited by 107

NOTCH-mediated non-cell autonomous regulation of chromatin structure during senescence

Parry, A. J., Hoare, M., Bihary, D., Hänsel-Hertsch, R., Smith, S., Tomimatsu, K., Mannion, E., Smith, A., D’Santos, P., Russell, I. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04283-9 · Cited by 102

Climate shocks and rural-urban migration in Mexico: exploring nonlinearities and thresholds

Nawrotzki, R. J., DeWaard, J., Bakhtsiyarava, M., & Ha, J. T. (2017) · Climatic Change · doi:10.1007/s10584-016-1849-0 · Cited by 108

Autoreactive CD8+ T cells are restrained by an exhaustion-like program that is maintained by LAG3

Grebinoski, S., Zhang, Q., Cillo, A. R., Manne, S., Xiao, H., Brunazzi, E. A., Tabib, T., Cardello, C., Lian, C. G., Murphy, G. F., et al. (2022) · Nature Immunology · doi:10.1038/s41590-022-01210-5 · Cited by 107

Genotype × Environment Interactions of Industrial Hemp Cultivars Highlight Diverse Responses to Environmental Factors

Campbell, B. J., Berrada, A. F., Hudalla, C., Amaducci, S., & McKay, J. K. (2019) · Agrosystems, Geosciences & Environment · doi:10.2134/age2018.11.0057 · Cited by 107

An estimate of the deepest branches of the tree of life from ancient vertically evolving genes

Moody, E. R., Mahendrarajah, T. A., Dombrowski, N., Clark, J. W., Petitjean, C., Offre, P., Szöllősi, G. J., Spang, A., & Williams, T. A. (2022) · eLife · doi:10.7554/elife.66695 · Cited by 95

Positive effects of psychedelics on depression and wellbeing scores in individuals reporting an eating disorder

Spriggs, M. J., Kettner, H., & Carhart-Harris, R. L. (2021) · Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity · doi:10.1007/s40519-020-01000-8 · Cited by 105

Social segregation around the clock in the Paris region (France)

Le Roux, G., Vallée, J., & Commenges, H. (2017) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2017.02.003 · Cited by 104

KdmB, a Jumonji Histone H3 Demethylase, Regulates Genome-Wide H3K4 Trimethylation and Is Required for Normal Induction of Secondary Metabolism in Aspergillus nidulans

Gacek-Matthews, A., Berger, H., Sasaki, T., Wittstein, K., Gruber, C., Lewis, Z. A., & Strauss, J. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006222 · Cited by 105

Process efficiency and ventilation requirement in black soldier fly larvae composting of substrates with high water content

Lalander, C., Ermolaev, E., Wiklicky, V., & Vinnerås, B. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138968 · Cited by 106

Yam genomics supports West Africa as a major cradle of crop domestication

Scarcelli, N., Cubry, P., Akakpo, R., Thuillet, A.-C., Obidiegwu, J., Baco, M. N., Otoo, E., Sonké, B., Dansi, A., Djedatin, G., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw1947 · Cited by 105

The dynamics of social support among suicide attempters: a smartphone-based daily diary study

Coppersmith, D. D. L., Kleiman, E. M., Glenn, C. R., Millner, A. J., & Nock, M. K. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.11.016 · Cited by 101

The Impact of the COVID-19 Pandemic on Mental Health, Occupational Functioning, and Professional Retention Among Health Care Workers and First Responders

Hendrickson, R. C., Slevin, R. A., Hoerster, K. D., Chang, B. P., Sano, E., McCall, C. A., Monty, G. R., Thomas, R. G., & Raskind, M. A. (2022) · Journal of General Internal Medicine · doi:10.1007/s11606-021-07252-z · Cited by 102

A reanalysis of mouse ENCODE comparative gene expression data

Gilad, Y., & Mizrahi-Man, O. (2015) · F1000Research · doi:10.12688/f1000research.6536.1 · Cited by 100

COX2 regulates senescence secretome composition and senescence surveillance through PGE2

Gonçalves, S., Yin, K., Ito, Y., Chan, A., Olan, I., Gough, S., Cassidy, L., Serrao, E., Smith, S., Young, A., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108860 · Cited by 95

BAP1 inhibits the ER stress gene regulatory network and modulates metabolic stress response

Dai, F., Lee, H., Zhang, Y., Zhuang, L., Yao, H., Xi, Y., Xiao, Z.-D., You, M. J., Li, W., Su, X., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619588114 · Cited by 94

Virus Metagenomics in Farm Animals: A Systematic Review

Kwok, K. T. T., Nieuwenhuijse, D. F., Phan, M. V. T., & Koopmans, M. P. G. (2020) · Viruses · doi:10.3390/v12010107 · Cited by 97

Using learning analytics to understand student perceptions of peer feedback

Misiejuk, K., Wasson, B., & Egelandsdal, K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106658 · Cited by 98

Analysis of B cell repertoire dynamics following hepatitis B vaccination in humans, and enrichment of vaccine-specific antibody sequences

Galson, J. D., Trück, J., Fowler, A., Clutterbuck, E. A., Münz, M., Cerundolo, V., Reinhard, C., van der Most, R., Pollard, A. J., Lunter, G., et al. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.11.034 · Cited by 97

A Latex Metabolite Benefits Plant Fitness under Root Herbivore Attack

Huber, M., Epping, J., Schulze Gronover, C., Fricke, J., Aziz, Z., Brillatz, T., Swyers, M., Köllner, T. G., Vogel, H., Hammerbacher, A., et al. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002332 · Cited by 97

The role of fire-suppression force in limiting the spread of extremely large forest fires in Portugal

Fernandes, P. M., Pacheco, A. P., Almeida, R., & Claro, J. (2016) · European Journal of Forest Research · doi:10.1007/s10342-015-0933-8 · Cited by 90

Copy, transform, combine: Exploring the remix as a form of innovation

Flath, C. M., Friesike, S., Wirth, M., & Thiesse, F. (2017) · Journal of Information Technology · doi:10.1057/s41265-017-0043-9 · Cited by 96

Non-native Species, Ecosystem Services, and Human Well-Being

Vilà, M., & Hulme, P. E. (2017) · Impact of Biological Invasions on Ecosystem Services · doi:10.1007/978-3-319-45121-3_1 · Cited by 99

APOE traffics to astrocyte lipid droplets and modulates triglyceride saturation and droplet size

Windham, I. A., Powers, A. E., Ragusa, J. V., Wallace, E. D., Zanellati, M. C., Williams, V. H., Wagner, C. H., White, K. K., & Cohen, S. (2024) · Journal of Cell Biology · doi:10.1083/jcb.202305003 · Cited by 96

Are People Mindful in Different Ways? Disentangling the Quantity and Quality of Mindfulness in Latent Profiles and Exploring Their Links to Mental Health and Life Effectiveness

Sahdra, B. K., Ciarrochi, J., Parker, P. D., Basarkod, G., Bradshaw, E. L., & Baer, R. (2017) · European Journal of Personality · doi:10.1002/per.2108 · Cited by 90

A Review of Meta-Analysis Packages in R

Polanin, J. R., Hennessy, E. A., & Tanner-Smith, E. E. (2017) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998616674315 · Cited by 92

How Diverse Are the Samples Used in the Journals ‘Evolution & Human Behavior’ and ‘Evolutionary Psychology’?

Pollet, T. V., & Saxton, T. K. (2019) · Evolutionary Psychological Science · doi:10.1007/s40806-019-00192-2 · Cited by 89

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

Spatial knowledge impairment after GPS guided navigation: Eye-tracking study in a virtual town

Hejtmánek, L., Oravcová, I., Motýl, J., Horáček, J., & Fajnerová, I. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.04.006 · Cited by 91

PEPPI-MS: Polyacrylamide-Gel-Based Prefractionation for Analysis of Intact Proteoforms and Protein Complexes by Mass Spectrometry

Takemori, A., Butcher, D. S., Harman, V. M., Brownridge, P., Shima, K., Higo, D., Ishizaki, J., Hasegawa, H., Suzuki, J., Yamashita, M., et al. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00303 · Cited by 90

Arrayed CRISPRi and quantitative imaging describe the morphotypic landscape of essential mycobacterial genes

de Wet, T. J., Winkler, K. R., Mhlanga, M., Mizrahi, V., & Warner, D. F. (2020) · eLife · doi:10.7554/elife.60083 · Cited by 79

Nature-derived microbiota exposure as a novel immunomodulatory approach

Nurminen, N., Lin, J., Grönroos, M., Puhakka, R., Kramna, L., Vari, H. K., Viskari, H., Oikarinen, S., Roslund, M., Parajuli, A., et al. (2018) · Future Microbiology · doi:10.2217/fmb-2017-0286 · Cited by 80

In silico proof of principle of machine learning-based antibody design at unconstrained scale

Akbar, R., Robert, P. A., Weber, C. R., Widrich, M., Frank, R., Pavlović, M., Scheffer, L., Chernigovskaya, M., Snapkov, I., Slabodkin, A., et al. (2022) · mAbs · doi:10.1080/19420862.2022.2031482 · Cited by 94

Intraflagellar transport dynein is autoinhibited by trapping of its mechanical and track-binding elements

Toropova, K., Mladenov, M., & Roberts, A. J. (2017) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3391 · Cited by 85

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

^DOWNLOAD E.B.O.O.K.# ggplot2: Elegant Graphics for Data Analysis (Use R!) Full PDF

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

DOWNLOAD in [PDF] ggplot2: Elegant Graphics for Data Analysis (Use R!) Full Pages

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