R: A Language and Environment for Statistical Computing

ResistanceGA: An R package for the optimization of resistance surfaces using genetic algorithms

Peterman, W. E. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12984 · Cited by 280

Age and disability accumulation in multiple sclerosis

Scalfari, A., Neuhaus, A., Daumer, M., Ebers, G. C., & Muraro, P. A. (2011) · Neurology · doi:10.1212/wnl.0b013e318230a17d · Cited by 279

UV degradation of natural and synthetic microfibers causes fragmentation and release of polymer degradation products and chemical additives

Sørensen, L., Groven, A. S., Hovsbakken, I. A., Del Puerto, O., Krause, D. F., Sarno, A., & Booth, A. M. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.143170 · Cited by 278

A Taxonomy of Evaluation Methods for Information Systems Artifacts

Prat, N., Comyn-Wattiau, I., & Akoka, J. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2015.1099390 · Cited by 278

Antidepressants and the Risk of Suicide, Attempted Suicide, and Overall Mortality in a Nationwide Cohort

Tiihonen, J., Lönnqvist, J., Wahlbeck, K., Klaukka, T., Tanskanen, A., & Haukka, J. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.12.1358 · Cited by 277

Global patterns in the sensitivity of burned area to fire-weather: implications for climate change

Bedia, J., Herrera, S., Gutiérrez, J. M., Benali, A., Brands, S., Mota, B., & Moreno, J. M. (2015) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2015.09.002 · Cited by 276

Exploring Targeted Degradation Strategy for Oncogenic KRASG12C

Zeng, M., Xiong, Y., Safaee, N., Nowak, R. P., Donovan, K. A., Yuan, C. J., Nabet, B., Gero, T. W., Feru, F., Li, L., et al. (2020) · Cell Chemical Biology · doi:10.1016/j.chembiol.2019.12.006 · Cited by 275

The correlation between central and peripheral oxytocin concentrations: a systematic review and meta-analysis

Valstad, M., Alvares, G. A., Egknud, M., Matziorinis, A. M., Andreassen, O. A., Westlye, L. T., & Quintana, D. S. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.017 · Cited by 277

Speciation with gene flow on lord howe island

Papadopulos, A. S. T., Baker, W. J., Crayn, D., Butlin, R. K., Kynast, R. G., Hutton, I., & Savolainen, V. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106085108 · Cited by 272

Cryoballoon Versus Open Irrigated Radiofrequency Ablation in Patients With Paroxysmal Atrial Fibrillation: The Prospective, Randomized, Controlled, Noninferiority FreezeAF Study

Luik, A., Radzewitz, A., Kieser, M., Walter, M., Bramlage, P., Hörmann, P., Schmidt, K., Horn, N., Brinkmeier-Theofanopoulou, M., Kunzmann, K., et al. (2015) · Circulation · doi:10.1161/circulationaha.115.016871 · Cited by 275

Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation

Technow, F., Messina, C. D., Totir, L. R., & Cooper, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0130855 · Cited by 265

Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning

Walsh, C. G., Ribeiro, J. D., & Franklin, J. C. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12916 · Cited by 264

Intraindividual stability of hair cortisol concentrations

Stalder, T., Steudte, S., Miller, R., Skoluda, N., Dettenborn, L., & Kirschbaum, C. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.08.007 · Cited by 271

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

Korthauer, K. D., Chu, L.-F., Newton, M. A., Li, Y., Thomson, J., Stewart, R., & Kendziorski, C. (2016) · Genome Biology · doi:10.1186/s13059-016-1077-y · Cited by 273

Banking sleep: realization of benefits during subsequent sleep restriction and recovery

Rupp, T. L., Wesensten, N. J., Bliese, P. D., & Balkin, T. J. (2009) · Sleep · doi:10.1093/sleep/32.3.311 · Cited by 270

High effectiveness of tailored flower strips in reducing pests and crop plant damage

Tschumi, M., Albrecht, M., Entling, M. H., & Jacot, K. (2015) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2015.1369 · Cited by 271

Per- and polyfluoroalkyl substances in human serum and urine samples from a residentially exposed community

Worley, R. R., Moore, S. M., Tierney, B. C., Ye, X., Calafat, A. M., Campbell, S., Woudneh, M. B., & Fisher, J. (2017) · Environment International · doi:10.1016/j.envint.2017.06.007 · Cited by 272

A novel measure of effect size for mediation analysis

Lachowicz, M. J., Preacher, K. J., & Kelley, K. (2018) · Psychological Methods · doi:10.1037/met0000165 · Cited by 271

Codon-specific translation reprogramming promotes resistance to targeted therapy

Rapino, F., Delaunay, S., Rambow, F., Zhou, Z., Tharun, L., De Tullio, P., Sin, O., Shostak, K., Schmitz, S., Piepers, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0243-7 · Cited by 271

On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data

Schwarz, D. F., König, I. R., & Ziegler, A. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq257 · Cited by 269

Simple Biologically Informed Inflammatory Index of Two Serum Cytokines Predicts 10 Year All-Cause Mortality in Older Adults

Varadhan, R., Yao, W., Matteini, A., Beamer, B. A., Xue, Q.-L., Yang, H., Manwani, B., Reiner, A., Jenny, N., Parekh, N., et al. (2014) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glt023 · Cited by 273

Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable

Austin, P. C., & Steyerberg, E. W. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-82 · Cited by 270

Timing and Completeness of Trial Results Posted at ClinicalTrials.gov and Published in Journals

Riveros, C., Dechartres, A., Perrodeau, E., Haneef, R., Boutron, I., & Ravaud, P. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001566 · Cited by 269

Triangulating the Neural, Psychological, and Economic Bases of Guilt Aversion

Chang, L. J., Smith, A., Dufwenberg, M., & Sanfey, A. G. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.056 · Cited by 260

Enhanced serine production by bone metastatic breast cancer cells stimulates osteoclastogenesis

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The Mouse Microbiome Is Required for Sex-Specific Diurnal Rhythms of Gene Expression and Metabolism

Weger, B. D., Gobet, C., Yeung, J., Martin, E., Jimenez, S., Betrisey, B., Foata, F., Berger, B., Balvay, A., Foussier, A., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2018.09.023 · Cited by 269

Depression, anxiety and fear of missing out as correlates of social, non-social and problematic smartphone use

Elhai, J. D., Gallinari, E. F., Rozgonjuk, D., & Yang, H. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106335 · Cited by 269

Individualised pelvic floor muscle training in women with pelvic organ prolapse (POPPY): A multicentre randomised controlled trial

Hagen, S., Stark, D., Glazener, C., Dickson, S., Barry, S., Elders, A., Frawley, H., Galea, M. P., Logan, J., McDonald, A., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61977-7 · Cited by 258

Optimal dose and type of exercise to improve cognitive function in older adults: a systematic review and Bayesian model-based network meta-analysis of RCTs

Gallardo-Gómez, D., del Pozo-Cruz, J., Noetel, M., Álvarez-Barbosa, F., Alfonso-Rosa, R. M., & del Pozo Cruz, B. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101591 · Cited by 268

Plant diversity effects on grassland productivity are robust to both nutrient enrichment and drought

Craven, D., Isbell, F., Manning, P., Connolly, J., Bruelheide, H., Ebeling, A., Roscher, C., van Ruijven, J., Weigelt, A., Wilsey, B., et al. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0277 · Cited by 266

Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq

Swanson, E., Lord, C., Reading, J., Heubeck, A. T., Genge, P. C., Thomson, Z., Weiss, M. D., Li, X.-J., Savage, A. K., Green, R. R., et al. (2021) · eLife · doi:10.7554/elife.63632 · Cited by 267

Mosaic Loss of Chromosome y in Blood Is Associated with Alzheimer Disease

Dumanski, J. P., Lambert, J.-C., Rasi, C., Giedraitis, V., Davies, H., Grenier-Boley, B., Lindgren, C. M., Campion, D., Dufouil, C., Pasquier, F., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.05.014 · Cited by 266

Mindfulness-Based Programs in the Workplace: a Meta-Analysis of Randomized Controlled Trials

Vonderlin, R., Biermann, M., Bohus, M., & Lyssenko, L. (2020) · Mindfulness · doi:10.1007/s12671-020-01328-3 · Cited by 259

Risks associated with bacterial vaginosis in infertility patients: a systematic review and meta-analysis

van Oostrum, N., De Sutter, P., Meys, J., & Verstraelen, H. (2013) · Human Reproduction · doi:10.1093/humrep/det096 · Cited by 255

Social identification-building interventions to improve health: A systematic review and meta- analysis

Steffens, N. K., LaRue, C. J., Haslam, C., Walter, Z. C., Cruwys, T., Munt, K. A., Haslam, S. A., Jetten, J., & Tarrant, M. (2021) · Health Psychology Review · doi:10.1080/17437199.2019.1669481 · Cited by 259

Update of a Meta-analysis of Sensory Symptoms in ASD: A New Decade of Research

Ben-Sasson, A., Gal, E., Fluss, R., Katz-Zetler, N., & Cermak, S. A. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04180-0 · Cited by 263

Metabolomic Mapping of Atypical Antipsychotic Effects in Schizophrenia

Kaddurah-Daouk, R., McEvoy, J., Baillie, R. A., Lee, D., Yao, J. K., Doraiswamy, P. M., & Krishnan, K. R. R. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4002000 · Cited by 262

Social reactions to disclosure of interpersonal violence and psychopathology: A systematic review and meta-analysis

Dworkin, E. R., Brill, C. D., & Ullman, S. E. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.101750 · Cited by 263

The development of theta and alpha neural oscillations from ages 3 to 24 years

Cellier, D., Riddle, J., Petersen, I., & Hwang, K. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100969 · Cited by 223

Loss of Nuclear TDP-43 Is Associated with Decondensation of LINE Retrotransposons

Liu, E. Y., Russ, J., Cali, C. P., Phan, J. M., Amlie-Wolf, A., & Lee, E. B. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.04.003 · Cited by 231

Consolation as possible expression of sympathetic concern among chimpanzees

Romero, T., Castellanos, M. A., & de Waal, F. B. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006991107 · Cited by 262

Estimating the risk of suicide associated with mental disorders: a systematic review and meta-regression analysis

Moitra, M., Santomauro, D., Degenhardt, L., Collins, P. Y., Whiteford, H., Vos, T., & Ferrari, A. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.02.053 · Cited by 252

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

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

Speciation and introgression between Mimulus nasutus and Mimulus guttatus

Brandvain, Y., Kenney, A. M., Flagel, L., Coop, G., & Sweigart, A. L. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004410 · Cited by 259

Effects of mindfulness exercises as stand-alone intervention on symptoms of anxiety and depression: Systematic review and meta-analysis

Blanck, P., Perleth, S., Heidenreich, T., Kröger, P., Ditzen, B., Bents, H., & Mander, J. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.12.002 · Cited by 248

Respiratory disease following viral lung infection alters the murine gut microbiota

Groves, H. T., Cuthbertson, L., James, P., Moffatt, M. F., Cox, M. J., & Tregoning, J. S. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00182 · Cited by 258

Direct evidence for positive selection of skin, hair, and eye pigmentation in Europeans during the last 5,000 y

Wilde, S., Timpson, A., Kirsanow, K., Kaiser, E., Kayser, M., Unterländer, M., Hollfelder, N., Potekhina, I. D., Schier, W., Thomas, M. G., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316513111 · Cited by 257

The Predictive Performance and Stability of Six Species Distribution Models

Duan, R.-Y., Kong, X.-Q., Huang, M.-Y., Fan, W.-Y., & Wang, Z.-G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112764 · Cited by 259

Efficacy of cognitive bias modification interventions in anxiety and depressive disorders: a systematic review and network meta-analysis

Fodor, L. A., Georgescu, R., Cuijpers, P., Szamoskozi, Ş., David, D., Furukawa, T. A., & Cristea, I. A. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30130-9 · Cited by 258

Friendships and family support reduce subsequent depressive symptoms in at‐risk adolescents

van Harmelen, A.-L., Gibson, J. L., St Clair, M. C., Owens, M., Brodbeck, J., Dunn, V., Lewis, G., Croudace, T., Jones, P. B., Kievit, R. A., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0153715 · Cited by 248

The Distance Between Mars and Venus: Measuring Global Sex Differences in Personality

Del Giudice, M., Booth, T., & Irwing, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029265 · Cited by 256

Interventions for children and adolescents with posttraumatic stress disorder: A meta-analysis of comparative outcome studies

Morina, N., Koerssen, R., & Pollet, T. V. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.05.006 · Cited by 256

Gut feelings: a randomised, triple-blind, placebo-controlled trial of probiotics for depressive symptoms

Chahwan, B., Kwan, S., Isik, A., van Hemert, S., Burke, C., & Roberts, L. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.097 · Cited by 256

Fat mass changes during menopause: a metaanalysis

Ambikairajah, A., Walsh, E., Tabatabaei-Jafari, H., & Cherbuin, N. (2019) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.04.023 · Cited by 255

Pilot study of probiotic/colostrum supplementation on gut function in children with autism and gastrointestinal symptoms

Sanctuary, M. R., Kain, J. N., Chen, S. Y., Kalanetra, K., Lemay, D. G., Rose, D. R., Yang, H. T., Tancredi, D. J., German, J. B., Slupsky, C. M., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0210064 · Cited by 255

Meta-analytic structural equation modeling with moderating effects on SEM parameters.

Jak, S., & Cheung, M. W. L. (2020) · Psychological Methods · doi:10.1037/met0000245 · Cited by 262

Foster care placement instability: A meta-analytic review

Konijn, C., Admiraal, S., Baart, J., van Rooij, F., Stams, G.-J., Colonnesi, C., Lindauer, R., & Assink, M. (2019) · Children and Youth Services Review · doi:10.1016/j.childyouth.2018.12.002 · Cited by 253

Fear of missing out and sleep: Cognitive behavioural factors in adolescents' nighttime social media use

Scott, H., & Woods, H. C. (2018) · Journal of Adolescence · doi:10.1016/j.adolescence.2018.07.009 · Cited by 248

The Burden of Stigma on Health and Well-Being: A Taxonomy of Concealment, Course, Disruptiveness, Aesthetics, Origin, and Peril Across 93 Stigmas

Pachankis, J. E., Hatzenbuehler, M. L., Wang, K., Burton, C. L., Crawford, F. W., Phelan, J. C., & Link, B. G. (2018) · Personality and Social Psychology Bulletin · doi:10.1177/0146167217741313 · Cited by 246

Toward a principled Bayesian workflow in cognitive science.

Schad, D. J., Betancourt, M., & Vasishth, S. (2021) · Psychological Methods · doi:10.1037/met0000275 · Cited by 252

Methods for including information from multi-arm trials in pairwise meta-analysis

Rücker, G., Cates, C. J., & Schwarzer, G. (2017) · Research Synthesis Methods · doi:10.1002/jrsm.1259 · Cited by 251

Contribution of established stroke risk factors to the burden of stroke in young adults

Aigner, A., Grittner, U., Rolfs, A., Norrving, B., Siegerink, B., & Busch, M. A. (2017) · Stroke · doi:10.1161/strokeaha.117.016599 · Cited by 251

Disruption of dorsolateral prefrontal cortex decreases model-based in favor of model-free control in humans

Smittenaar, P., FitzGerald, T. H. B., Romei, V., Wright, N. D., & Dolan, R. J. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.009 · Cited by 244

Identification of novel micropollutants in wastewater by a combination of suspect and nontarget screening

Hug, C., Ulrich, N., Schulze, T., Brack, W., & Krauss, M. (2014) · Environmental Pollution · doi:10.1016/j.envpol.2013.07.048 · Cited by 252

Association of Amyloid Pathology With Myelin Alteration in Preclinical Alzheimer Disease

Dean, D. C., Hurley, S. A., Kecskemeti, S. R., O’Grady, J. P., Canda, C., Davenport-Sis, N. J., Carlsson, C. M., Zetterberg, H., Blennow, K., Asthana, S., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.3232 · Cited by 252

EEG power spectral measures of cognitive workload: A meta‐analysis

Chikhi, S., Matton, N., & Blanchet, S. (2022) · Psychophysiology · doi:10.1111/psyp.14009 · Cited by 258

Prevalence and correlates of objectively measured physical activity and sedentary behavior among US pregnant women

Evenson, K. R., & Wen, F. (2011) · Preventive Medicine · doi:10.1016/j.ypmed.2011.04.014 · Cited by 252

Unravelling the structure of species extinction risk for predictive conservation science

Lee, T. M., & Jetz, W. (2011) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2010.1877 · Cited by 248

Treatment Sequencing for Childhood ADHD: A Multiple-Randomization Study of Adaptive Medication and Behavioral Interventions

Pelham, W. E., Fabiano, G. A., Waxmonsky, J. G., Greiner, A. R., Gnagy, E. M., Pelham, W. E., Coxe, S., Verley, J., Bhatia, I., Hart, K., et al. (2016) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2015.1105138 · Cited by 251

A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters

Demircioğlu, D., Cukuroglu, E., Kindermans, M., Nandi, T., Calabrese, C., Fonseca, N. A., Kahles, A., Lehmann, K.-V., Stegle, O., Brazma, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.018 · Cited by 250

Wild Chimpanzees Exchange Meat for Sex on a Long-Term Basis

Gomes, C. M., & Boesch, C. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005116 · Cited by 249

Gut Microbiome of Coexisting BaAka Pygmies and Bantu Reflects Gradients of Traditional Subsistence Patterns

Gomez, A., Petrzelkova, K. J., Burns, M. B., Yeoman, C. J., Amato, K. R., Vlckova, K., Modry, D., Todd, A., Jost Robinson, C. A., Remis, M. J., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.02.013 · Cited by 248

Sex differences in the genome-wide DNA methylation pattern and impact on gene expression, microRNA levels and insulin secretion in human pancreatic islets

Hall, E., Volkov, P., Dayeh, T., Esguerra, J. L. S., Salö, S., Eliasson, L., Rönn, T., Bacos, K., & Ling, C. (2014) · Genome Biology · doi:10.1186/s13059-014-0522-z · Cited by 249

For testing the significance of regression coefficients, go ahead and log‐transform count data

Ives, A. R. (2015) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12386 · Cited by 248

Controlling for Response Biases in Self-Report Scales: Forced-Choice vs. Psychometric Modeling of Likert Items

Kreitchmann, R. S., Abad, F. J., Ponsoda, V., Nieto, M. D., & Morillo, D. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02309 · Cited by 269

Testing the independence of self-reported interoceptive accuracy and attention

Murphy, J., Brewer, R., Plans, D., Khalsa, S. S., Catmur, C., & Bird, G. (2020) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021819879826 · Cited by 235

An unobtrusive behavioral model of "gross national happiness"

Kramer, A. D. I. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753369 · Cited by 247

Burnout and depression in nurses: a systematic review and meta-analysis

Chen, C., & Meier, S. T. (2021) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.104099 · Cited by 246

Internet-based mindfulness treatment for anxiety disorders: a randomized controlled trial

Boettcher, J., Åström, V., Påhlsson, D., Schenström, O., Andersson, G., & Carlbring, P. (2014) · Behavior Therapy · doi:10.1016/j.beth.2013.11.003 · Cited by 245

Signaling text-picture relations in multimedia learning: A comprehensive meta-analysis

Richter, J., Scheiter, K., & Eitel, A. (2016) · Educational Research Review · doi:10.1016/j.edurev.2015.12.003 · Cited by 242

A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk

Blair, D. R., Lyttle, C. S., Mortensen, J. M., Bearden, C. F., Jensen, A. B., Khiabanian, H., Melamed, R., Rabadan, R., Bernstam, E. V., Brunak, S., et al. (2013) · Cell · doi:10.1016/j.cell.2013.08.030 · Cited by 215

Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies

Harris, W. S., Tintle, N. L., Imamura, F., Qian, F., Korat, A. V. A., Marklund, M., Djoussé, L., Bassett, J. K., Carmichael, P.-H., Chen, Y.-Y., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22370-2 · Cited by 244

The Effects of Family Therapies for Adolescent Delinquency and Substance Abuse: A Meta‐analysis

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The use of thyroid function tests in the diagnosis of hypopituitarism: definition and evaluation of the TSH Index

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Long‐term changes to the frequency of occurrence of British moths are consistent with opposing and synergistic effects of climate and land‐use changes

Fox, R., Oliver, T. H., Harrower, C., Parsons, M. S., Thomas, C. D., & Roy, D. B. (2014) · Journal of Applied Ecology · doi:10.1111/1365-2664.12256 · Cited by 236

Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs

Hwang, E. J., Park, S., Jin, K.-N., Kim, J. I., Choi, S. Y., Lee, J. H., Goo, J. M., Aum, J., Yim, J.-J., Park, C. M., et al. (2019) · Clinical Infectious Diseases · doi:10.1093/cid/ciy967 · Cited by 241

Vulnerable Narcissism Is (Mostly) a Disorder of Neuroticism

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Dynamic Rewiring of Promoter-Anchored Chromatin Loops during Adipocyte Differentiation

Siersbæk, R., Madsen, J. G. S., Javierre, B. M., Nielsen, R., Bagge, E. K., Cairns, J., Wingett, S. W., Traynor, S., Spivakov, M., Fraser, P., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.04.010 · Cited by 243

Global mapping of infectious disease

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Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system.

Schloss, P. D., Jenior, M. L., Koumpouras, C. C., Westcott, S. L., & Highlander, S. K. (2016) · PeerJ · doi:10.7717/peerj.1869 · Cited by 226

Ecological effects of ocean acidification and habitat complexity on reef-associated macroinvertebrate communities

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Systematic Review and Meta-analysis of Adolescent Cognitive–Behavioral Sleep Interventions

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World Health Organization Estimates of the Relative Contributions of Food to the Burden of Disease Due to Selected Foodborne Hazards: A Structured Expert Elicitation

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Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells

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Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction (WGP)

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Fibroblast Dysfunction Is a Key Factor in the Non-Healing of Chronic Venous Leg Ulcers

Wall, I. B., Moseley, R., Baird, D. M., Kipling, D., Giles, P., Laffafian, I., Price, P. E., Thomas, D. W., & Stephens, P. (2008) · Journal of Investigative Dermatology · doi:10.1038/jid.2008.114 · Cited by 226

The WHO-5 well-being index – validation based on item response theory and the analysis of measurement invariance across 35 countries

Sischka, P. E., Costa, A. P., Steffgen, G., & Schmidt, A. F. (2020) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2020.100020 · Cited by 245

Using the “reverse Warburg effect” to identify high-risk breast cancer patients: Stromal MCT4 predicts poor clinical outcome in triple-negative breast cancers

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Life‐history correlates of extinction risk and recovery potential

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TCR contact residue hydrophobicity is a hallmark of immunogenic CD8 + T cell epitopes

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