ggplot2: Elegant Graphics for Data Analysis

Shaping of Intestinal Microbiota in Nlrp6- and Rag2-Deficient Mice Depends on Community Structure

Gálvez, E. J. C., Iljazovic, A., Gronow, A., Flavell, R., & Strowig, T. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.12.027 · Cited by 81

Calibration of pelagic stereo‐ BRUV s and scientific longline surveys for sampling sharks

Santana‐Garcon, J., Braccini, M., Langlois, T. J., Newman, S. J., McAuley, R. B., & Harvey, E. S. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12216 · Cited by 82

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

A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression

Pearson, R., Pisner, D., Meyer, B., Shumake, J., & Beevers, C. G. (2019) · Psychological Medicine · doi:10.1017/s003329171800315x · Cited by 81

‘The effect of different genres of music on the stress levels of kennelled dogs’

Bowman, A., Dowell, F. J., & Evans, N. P. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2017.01.024 · Cited by 82

Relationship between vitamin D status and the vaginal microbiome during pregnancy

Jefferson, K. K., Parikh, H. I., Garcia, E. M., Edwards, D. J., Serrano, M. G., Hewison, M., Shary, J. R., Powell, A. M., Hollis, B. W., Fettweis, J. M., et al. (2019) · Journal of Perinatology · doi:10.1038/s41372-019-0343-8 · Cited by 84

A Randomized, Double-Blind, Placebo-Controlled Trial: The Efficacy of Multispecies Probiotic Supplementation in Alleviating Symptoms of Irritable Bowel Syndrome Associated with Constipation

Mezzasalma, V., Manfrini, E., Ferri, E., Sandionigi, A., La Ferla, B., Schiano, I., Michelotti, A., Nobile, V., Labra, M., & Di Gennaro, P. (2016) · BioMed Research International · doi:10.1155/2016/4740907 · Cited by 81

BTR: training asynchronous Boolean models using single-cell expression data

Lim, C. Y., Wang, H., Woodhouse, S., Piterman, N., Wernisch, L., Fisher, J., & Göttgens, B. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1235-y · Cited by 81

The use of meta-analytic statistical significance testing

Polanin, J. R., & Pigott, T. D. (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1124 · Cited by 78

Maternal Pregnancy-Related Anxiety Is Associated With Sexually Dimorphic Alterations in Amygdala Volume in 4-Year-Old Children

Acosta, H., Tuulari, J. J., Scheinin, N. M., Hashempour, N., Rajasilta, O., Lavonius, T. I., Pelto, J., Saunavaara, V., Parkkola, R., Lähdesmäki, T., et al. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00175 · Cited by 80

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

HNF1A recruits KDM6A to activate differentiated acinar cell programs that suppress pancreatic cancer

Kalisz, M., Bernardo, E., Beucher, A., Maestro, M. A., del Pozo, N., Millán, I., Haeberle, L., Schlensog, M., Safi, S. A., Knoefel, W. T., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019102808 · Cited by 77

Predictors of utilization of a novel smoking cessation smartphone app

Zeng, E. Y., Vilardaga, R., Heffner, J. L., Mull, K. E., & Bricker, J. B. (2015) · Telemedicine and e-Health · doi:10.1089/tmj.2014.0232 · Cited by 71

Isoflurane disrupts excitatory neurotransmitter dynamics via inhibition of mitochondrial complex I

Zimin, P. I., Woods, C. B., Kayser, E. B., Ramirez, J. M., Morgan, P. G., & Sedensky, M. M. (2018) · British Journal of Anaesthesia · doi:10.1016/j.bja.2018.01.036 · Cited by 76

The early effects of external and internal strategies on working memory updating training

Laine, M., Fellman, D., Waris, O., & Nyman, T. J. (2018) · Scientific Reports · doi:10.1038/s41598-018-22396-5 · Cited by 71

Mindfulness-based online intervention increases well-being and decreases stress after Covid-19 lockdown

Bossi, F., Zaninotto, F., D’Arcangelo, S., Lattanzi, N., Malizia, A. P., & Ricciardi, E. (2022) · Scientific Reports · doi:10.1038/s41598-022-10361-2 · Cited by 74

The climate sensitivity of carbon, timber, and species richness covaries with forest age in boreal–temperate North America

Thom, D., Golivets, M., Edling, L., Meigs, G. W., Gourevitch, J. D., Sonter, L. J., Galford, G. L., & Keeton, W. S. (2019) · Global Change Biology · doi:10.1111/gcb.14656 · Cited by 71

Active information sampling varies across the cardiac cycle

Kunzendorf, S., Klotzsche, F., Akbal, M., Villringer, A., Ohl, S., & Gaebler, M. (2019) · Psychophysiology · doi:10.1111/psyp.13322 · Cited by 73

No evidence of white adipocyte browning after endurance exercise training in obese men

Tsiloulis, T., Carey, A. L., Bayliss, J., Canny, B., Meex, R. C. R., & Watt, M. J. (2018) · International Journal of Obesity · doi:10.1038/ijo.2017.295 · Cited by 70

Pulse Rate Measurement During Sleep Using Wearable Sensors, and its Correlation with the Menstrual Cycle Phases, A Prospective Observational Study

Shilaih, M., Clerck, V. D., Falco, L., Kübler, F., & Leeners, B. (2017) · Scientific Reports · doi:10.1038/s41598-017-01433-9 · Cited by 69

Expanding the Map of Intrinsic and Extrinsic Aspirations Using Network Analysis and Multidimensional Scaling: Examining Four New Aspirations

Martela, F., Bradshaw, E. L., & Ryan, R. M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02174 · Cited by 69

Variability in Autism Symptom Trajectories Using Repeated Observations From 14 to 36 Months of Age

Kim, S. H., Bal, V. H., Benrey, N., Choi, Y. B., Guthrie, W., Colombi, C., & Lord, C. (2018) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.05.026 · Cited by 70

Genetic instability and recurrent MYC amplification in ALK‐translocated NSCLC: a central role of TP53 mutations

Alidousty, C., Baar, T., Martelotto, L. G., Heydt, C., Wagener, S., Fassunke, J., Duerbaum, N., Scheel, A. H., Frank, S., Holz, B., et al. (2018) · The Journal of Pathology · doi:10.1002/path.5110 · Cited by 69

Stress Impairs Episodic Retrieval by Disrupting Hippocampal and Cortical Mechanisms of Remembering

Gagnon, S. A., Waskom, M. L., Brown, T. I., & Wagner, A. D. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhy162 · Cited by 69

DNA methylation and transcriptional trajectories during human development and reprogramming of isogenic pluripotent stem cells

Roost, M. S., Slieker, R. C., Bialecka, M., van Iperen, L., Gomes Fernandes, M. M., He, N., Suchiman, H. E. D., Szuhai, K., Carlotti, F., de Koning, E. J. P., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01077-3 · Cited by 65

A nucleosomal surface defines an integration hotspot for the Saccharomyces cerevisiae Ty1 retrotransposon

Baller, J. A., Gao, J., Stamenova, R., Curcio, M. J., & Voytas, D. F. (2012) · Genome Research · doi:10.1101/gr.129585.111 · Cited by 61

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys

Ferri-García, R., & Rueda, M. D. M. (2020) · PLOS ONE · doi:10.1371/journal.pone.0231500 · Cited by 67

Sildenafil increases serum testosterone levels by a direct action on the testes

Spitzer, M., Bhasin, S., Travison, T. G., Davda, M. N., Stroh, H., & Basaria, S. (2013) · Andrology · doi:10.1111/j.2047-2927.2013.00131.x · Cited by 67

Signatures of positive selection in African Butana and Kenana dairy zebu cattle

Bahbahani, H., Salim, B., Almathen, F., Al Enezi, F., Mwacharo, J. M., & Hanotte, O. (2018) · PLOS ONE · doi:10.1371/journal.pone.0190446 · Cited by 67

Microbial ecology of the newly discovered serpentinite-hosted Old City hydrothermal field (southwest Indian ridge)

Lecoeuvre, A., Ménez, B., Cannat, M., Chavagnac, V., & Gérard, E. (2021) · The ISME Journal · doi:10.1038/s41396-020-00816-7 · Cited by 62

Subliminal evaluative conditioning? Above-chance CS identification may be necessary and insufficient for attitude learning.

Stahl, C., Haaf, J., & Corneille, O. (2016) · Journal of Experimental Psychology: General · doi:10.1037/xge0000191 · Cited by 66

Mapping patterns of abiotic and biotic stress resilience uncovers conservation gaps and breeding potential of vigna wild relatives

van Zonneveld, M., Rakha, M., Tan, S. Y., Chou, Y.-Y., Chang, C.-H., Yen, J.-Y., Schafleitner, R., Nair, R., Naito, K., & Solberg, S. Ø. (2020) · Scientific Reports · doi:10.1038/s41598-020-58646-8 · Cited by 65

CPSF6-Dependent Targeting of Speckle-Associated Domains Distinguishes Primate from Nonprimate Lentiviral Integration

Li, W., Singh, P. K., Sowd, G. A., Bedwell, G. J., Jang, S., Achuthan, V., Oleru, A. V., Wong, D., Fadel, H. J., Lee, K., et al. (2020) · mBio · doi:10.1128/mbio.02254-20 · Cited by 64

Integrative proteomic analyses across common cardiac diseases yield mechanistic insights and enhanced prediction

Schuermans, A., Pournamdari, A. B., Lee, J., Bhukar, R., Ganesh, S., Darosa, N., Small, A. M., Yu, Z., Hornsby, W., Koyama, S., et al. (2024) · Nature Cardiovascular Research · doi:10.1038/s44161-024-00567-0 · Cited by 71

Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model

Zierer, J., Pallister, T., Tsai, P.-C., Krumsiek, J., Bell, J. T., Lauc, G., Spector, T. D., Menni, C., & Kastenmüller, G. (2016) · Scientific Reports · doi:10.1038/srep37646 · Cited by 63

Ribosomal profiling during prion disease uncovers progressive translational derangement in glia but not in neurons

Scheckel, C., Imeri, M., Schwarz, P., & Aguzzi, A. (2020) · eLife · doi:10.7554/elife.62911 · Cited by 57

Multi-cohort cerebrospinal fluid proteomics identifies robust molecular signatures across the Alzheimer disease continuum

Ali, M., Timsina, J., Western, D., Liu, M., Beric, A., Budde, J., Do, A., Heo, G., Wang, L., Gentsch, J., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.014 · Cited by 61

Native soil fungi associated with compostable plastics in three contrasting agricultural settings

Moore-Kucera, J., Cox, S. B., Peyron, M., Bailes, G., Kinloch, K., Karich, K., Miles, C., Inglis, D. A., & Brodhagen, M. (2014) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-014-5711-x · Cited by 58

Predictors of hypomania during ventral capsule/ventral striatum deep brain stimulation

Widge, A. S., Licon, E., Zorowitz, S., Corse, A., Arulpragasam, A. R., Camprodon, J. A., Cusin, C., Eskandar, E. N., Deckersbach, T., & Dougherty, D. D. (2016) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/appi.neuropsych.15040089 · Cited by 58

(In)stability of Capability for Suicide in Psychiatric Inpatients: Longitudinal Assessment Using Ecological Momentary Assessments

Spangenberg, L., Glaesmer, H., Hallensleben, N., Rath, D., & Forkmann, T. (2019) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12547 · Cited by 57

Comparison of a one-and two-stage mixed model analysis of Australia’s National Variety Trial Southern Region wheat data

Gogel, B., Smith, A., & Cullis, B. (2018) · Euphytica · doi:10.1007/s10681-018-2116-4 · Cited by 57

Measuring the stability of results from supervised statistical learning

Philipp, M., Rusch, T., Hornik, K., & Strobl, C. (2018) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2018.1473779 · Cited by 56

Functional Strain Redundancy and Persistent Phage Infection in Swiss Hard Cheese Starter Cultures

Somerville, V., Berthoud, H., Schmidt, R. S., Bachmann, H.-P., Meng, Y. H., Fuchsmann, P., von Ah, U., & Engel, P. (2022) · The ISME Journal · doi:10.1038/s41396-021-01071-0 · Cited by 55

Metabolic engineering of Bacillus subtilis for growth on overflow metabolites

Kabisch, J., Pratzka, I., Meyer, H., Albrecht, D., Lalk, M., Ehrenreich, A., & Schweder, T. (2013) · Microbial Cell Factories · doi:10.1186/1475-2859-12-72 · Cited by 55

Detecting macroevolutionary genotype–phenotype associations using error-corrected rates of protein convergence

Fukushima, K., & Pollock, D. D. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01932-7 · Cited by 55

Temporal changes in the gene expression heterogeneity during brain development and aging

Işıldak, U., Somel, M., Thornton, J. M., & Dönertaş, H. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-60998-0 · Cited by 53

Children Devise and Selectively Use Tools to Offload Cognition

Bulley, A., McCarthy, T., Gilbert, S. J., Suddendorf, T., & Redshaw, J. (2020) · Current Biology · doi:10.1016/j.cub.2020.06.035 · Cited by 54

Retirement is associated with change in self-esteem.

Bleidorn, W., & Schwaba, T. (2018) · Psychology and Aging · doi:10.1037/pag0000253 · Cited by 53

Experimentally induced social threat increases paranoid thinking

Saalfeld, V., Ramadan, Z., Bell, V., & Raihani, N. J. (2018) · Royal Society Open Science · doi:10.1098/rsos.180569 · Cited by 52

Global proteomic analyses define an environmentally contingent Hsp90 interactome and reveal chaperone-dependent regulation of stress granule proteins and the R2TP complex in a fungal pathogen

O’Meara, T. R., O’Meara, M. J., Polvi, E. J., Pourhaghighi, M. R., Liston, S. D., Lin, Z.-Y., Veri, A. O., Emili, A., Gingras, A.-C., & Cowen, L. E. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000358 · Cited by 49

Identification of candidate cerebrospinal fluid biomarkers in parkinsonism using quantitative proteomics

Magdalinou, N. K., Noyce, A. J., Pinto, R., Lindstrom, E., Holmén-Larsson, J., Holtta, M., Blennow, K., Morris, H. R., Skillbäck, T., Warner, T. T., et al. (2017) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2017.01.016 · Cited by 49

Drivers of adoption of agroecological practices for winegrowers and influence from policies in the province of Trento, Italy

Garini, C. S., Vanwindekens, F., Scholberg, J. M. S., Wezel, A., & Groot, J. C. J. (2017) · Land Use Policy · doi:10.1016/j.landusepol.2017.07.048 · Cited by 49

Kerosene lighting contributes to household air pollution in rural Uganda

Muyanja, D., Allen, J. G., Vallarino, J., Valeri, L., Kakuhikire, B., Bangsberg, D. R., Christiani, D. C., Tsai, A. C., & Lai, P. S. (2017) · Indoor Air · doi:10.1111/ina.12377 · Cited by 49

A metagenomics investigation of carbohydrate-active enzymes along the gastrointestinal tract of Saudi sheep

Al-Masaudi, S., El Kaoutari, A., Drula, E., Al-Mehdar, H., Redwan, E. M., Lombard, V., & Henrissat, B. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.00666 · Cited by 48

Post-exercise hypotension and skeletal muscle oxygenation is regulated by nitrate-reducing activity of oral bacteria

Clarke, C., Kiernan, M., Willis, J. R., Gallardo-Alfaro, L., Casas-Agustench, P., White, D., Hickson, M., Gabaldon, T., & Bescos, R. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2019.07.035 · Cited by 49

Job burnout is associated with dysfunctions in brain mechanisms of voluntary and involuntary attention

Sokka, L., Leinikka, M., Korpela, J., Henelius, A., Ahonen, L., Alain, C., Alho, K., & Huotilainen, M. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.02.010 · Cited by 46

Diet-induced obesity, energy metabolism and gut microbiota in C57BL/6J mice fed Western diets based on lean seafood or lean meat mixtures

Holm, J. B., Rønnevik, A., Tastesen, H. S., Fjære, E., Fauske, K. R., Liisberg, U., Madsen, L., Kristiansen, K., & Liaset, B. (2016) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2015.12.017 · Cited by 45

The membrane activity of BOK involves formation of large, stable toroidal pores and is promoted by cBID

Fernández‐Marrero, Y., Bleicken, S., Das, K. K., Bachmann, D., Kaufmann, T., & Garcia‐Saez, A. J. (2017) · The FEBS Journal · doi:10.1111/febs.14008 · Cited by 47

Seasonal dynamics of bacterial communities in the surface seawater around subtropical Xiamen Island, China, as determined by 16S rRNA gene profiling

Wang, Y., Liu, Y., Wang, J., Luo, T., Zhang, R., Sun, J., Zheng, Q., & Jiao, N. (2019) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2019.03.035 · Cited by 45

Geographical Variation in Dementia Mortality in Italy, New Zealand, and Chile: The Impact of Latitude, Vitamin D, and Air Pollution

Russ, T. C., Murianni, L., Icaza, G., Slachevsky, A., & Starr, J. M. (2016) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000447449 · Cited by 44

Active and social life is associated with lower non-social fearfulness in pet dogs

Hakanen, E., Mikkola, S., Salonen, M., Puurunen, J., Sulkama, S., Araujo, C., & Lohi, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-70722-7 · Cited by 44

The human hepatocyte TXG-MAPr: gene co-expression network modules to support mechanism-based risk assessment

Callegaro, G., Kunnen, S. J., Trairatphisan, P., Grosdidier, S., Niemeijer, M., den Hollander, W., Guney, E., Piñero Gonzalez, J., Furlong, L., Webster, Y. W., et al. (2021) · Archives of Toxicology · doi:10.1007/s00204-021-03141-w · Cited by 43

An Open Label Pilot Study of a Brief Psychosocial Intervention for Disaster and Trauma Survivors

O'Donnell, M. L., Lau, W., Fredrickson, J., Gibson, K., Bryant, R. A., Bisson, J., Burke, S., Busuttil, W., Coghlan, A., Creamer, M., et al. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00483 · Cited by 39

Fin ray patterns at the fin-to-limb transition

Stewart, T. A., Lemberg, J. B., Taft, N. K., Yoo, I., Daeschler, E. B., & Shubin, N. H. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1915983117 · Cited by 40

PRISMA: Protein Interaction Screen on Peptide Matrix Reveals Interaction Footprints and Modifications- Dependent Interactome of Intrinsically Disordered C/EBPβ

Dittmar, G., Hernandez, D. P., Kowenz-Leutz, E., Kirchner, M., Kahlert, G., Wesolowski, R., Baum, K., Knoblich, M., Hofstätter, M., Muller, A., et al. (2019) · iScience · doi:10.1016/j.isci.2019.02.026 · Cited by 41

Transcriptome dynamics over a lunar month in a broadcast spawning acroporid coral

Oldach, M. J., Workentine, M., Matz, M. V., Fan, T., & Vize, P. D. (2017) · Molecular Ecology · doi:10.1111/mec.14043 · Cited by 39

Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment

Looney, P., Yin, Y., Collins, S. L., Nicolaides, K. H., Plasencia, W., Molloholli, M., Natsis, S., & Stevenson, G. N. (2021) · IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control · doi:10.1109/tuffc.2021.3052143 · Cited by 40

Circulation of Dirofilaria repens and Dirofilaria immitis in Moldova

Șuleșco, T., von Thien, H., Toderaș, L., Toderaș, I., Lühken, R., & Tannich, E. (2016) · Parasites & Vectors · doi:10.1186/s13071-016-1916-4 · Cited by 40

High SARS-CoV-2 seroprevalence in health care workers but relatively low numbers of deaths in urban Malawi

Chibwana, M. G., Jere, K. C., Kamng'ona, R., Mandolo, J., Katunga-Phiri, V., Tembo, D., Mitole, N., Musasa, S., Sichone, S., Lakudzala, A., et al. (2020) · Wellcome Open Research · doi:10.12688/wellcomeopenres.16188.1 · Cited by 110

Analysis of proteins that rapidly change upon mechanistic/mammalian target of rapamycin complex 1 (mTORC1) repression identifies parkinson protein 7 (PARK7) as a novel protein aberrantly expressed in tuberous sclerosis complex (TSC)

Niere, F., Namjoshi, S., Song, E., Dilly, G. A., Schoenhard, G., Zemelman, B. V., Mechref, Y., & Raab-Graham, K. F. (2016) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m115.055079 · Cited by 38

X chromosome dosage and the genetic impact across human tissues

Viuff, M., Skakkebæk, A., Johannsen, E. B., Chang, S., Pedersen, S. B., Lauritsen, K. M., Pedersen, M. G. B., Trolle, C., Just, J., & Gravholt, C. H. (2023) · Genome Medicine · doi:10.1186/s13073-023-01169-4 · Cited by 34

A descriptive analysis of the data availability statements accompanying medRxiv preprints and a comparison with their published counterparts

McGuinness, L. A., & Sheppard, A. L. (2021) · PLOS ONE · doi:10.1371/journal.pone.0250887 · Cited by 33

Circulation of Dirofilaria immitis and Dirofilaria repens in the Danube Delta Biosphere Reserve, Romania

Tomazatos, A., Cadar, D., Török, E., Maranda, I., Horváth, C., Keresztes, L., Spinu, M., Jansen, S., Jöst, H., Schmidt-Chanasit, J., et al. (2018) · Parasites & Vectors · doi:10.1186/s13071-018-2980-8 · Cited by 33

Partial Support for an Interaction Between a Polygenic Risk Score for Major Depressive Disorder and Prenatal Maternal Depressive Symptoms on Infant Right Amygdalar Volumes

Acosta, H., Kantojärvi, K., Hashempour, N., Pelto, J., Scheinin, N. M., Lehtola, S. J., Lewis, J. D., Fonov, V. S., Collins, D. L., Evans, A., et al. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa158 · Cited by 34

Yap1 Mediates Trametinib Resistance in Head and Neck Squamous Cell Carcinomas

Mudianto, T., Campbell, K. M., Webb, J., Zolkind, P., Skidmore, Z. L., Riley, R., Barnell, E. K., Ozgenc, I., Giri, T., Dunn, G. P., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-19-4179 · Cited by 33

Untitled work

Graybuck (2019) · doi:10.1101/525014 · Cited by 31

Ceramides and phospholipids are downregulated with liraglutide treatment: results from the LiraFlame randomized controlled trial

Zobel, E. H., Wretlind, A., Ripa, R. S., Rotbain Curovic, V., von Scholten, B. J., Suvitaival, T., Hansen, T. W., Kjær, A., Legido-Quigley, C., & Rossing, P. (2021) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2021-002395 · Cited by 31

Later school start times in a flexible system improve teenage sleep

Winnebeck, E. C., Vuori-Brodowski, M. T., Biller, A. M., Molenda, C., Fischer, D., Zerbini, G., & Roenneberg, T. (2020) · Sleep · doi:10.1093/sleep/zsz307 · Cited by 30

Longitudinal population subgroups of CRP and risk of depression in the ALSPAC birth cohort

Osimo, E. F., Stochl, J., Zammit, S., Lewis, G., Jones, P. B., & Khandaker, G. M. (2020) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2019.152143 · Cited by 30

Culture-Independent Detection of Poliovirus in Stool Samples by Direct RNA Extraction

Harrington, C., Sun, H., Jeffries-Miles, S., Gerloff, N., Mandelbaum, M., Pang, H., Collins, N., Burns, C. C., & Vega, E. (2021) · Microbiology Spectrum · doi:10.1128/spectrum.00668-21 · Cited by 25

Can tweets be used to detect problems early with scientific papers? A case study of three retracted COVID-19/SARS-CoV-2 papers

Haunschild, R., & Bornmann, L. (2021) · Scientometrics · doi:10.1007/s11192-021-03962-7 · Cited by 29

Studying the difference between natural and programming language corpora

Casalnuovo, C., Sagae, K., & Devanbu, P. (2019) · Empirical Software Engineering · doi:10.1007/s10664-018-9669-7 · Cited by 33

Global gene expression reveals stress-responsive genes in Aspergillus fumigatus mycelia

Takahashi, H., Kusuya, Y., Hagiwara, D., Takahashi-Nakaguchi, A., Sakai, K., & Gonoi, T. (2017) · BMC Genomics · doi:10.1186/s12864-017-4316-z · Cited by 32

The temporal dynamics of wish to live, wish to die, and their short-term prospective relationships with suicidal desire

Oakey-Frost, N., Moscardini, E. H., Cowan, T., Cohen, A., & Tucker, R. P. (2023) · Behavior Therapy · doi:10.1016/j.beth.2022.12.011 · Cited by 31

Density dependence and persistence of Morogoro arenavirus transmission in a fluctuating population of its reservoir host

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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

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