R: A Language and Environment for Statistical Computing

Predicting climate change impacts on potential worldwide distribution of fall armyworm based on CMIP6 projections

Ramasamy, M., Das, B., & Ramesh, R. (2022) · Journal of Pest Science · doi:10.1007/s10340-021-01411-1 · Cited by 107

Predicting the accuracy of protein–ligand docking on homology models

Bordogna, A., Pandini, A., & Bonati, L. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21601 · Cited by 107

Alterations in DNA methylation of Fkbp5 as a determinant of blood–brain correlation of glucocorticoid exposure

Ewald, E. R., Wand, G. S., Seifuddin, F., Yang, X., Tamashiro, K. L., Potash, J. B., Zandi, P., & Lee, R. S. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.03.003 · Cited by 105

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

Making friends and communicating on Facebook: Implications for the access to social capital

Bohn, A., Buchta, C., Hornik, K., & Mair, P. (2014) · Social Networks · doi:10.1016/j.socnet.2013.11.003 · Cited by 106

Cognitive behavior therapy for health anxiety: systematic review and meta-analysis of clinical efficacy and health economic outcomes

Axelsson, E., & Hedman-Lagerlöf, E. (2019) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2019.1703182 · Cited by 96

Socioeconomic Status, Preeclampsia Risk and Gestational Length in Black and White Women

Ross, K. M., Dunkel Schetter, C., McLemore, M. R., Chambers, B. D., Paynter, R. A., Baer, R., Feuer, S. K., Flowers, E., Karasek, D., Pantell, M., et al. (2019) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-019-00619-3 · Cited by 106

Alcohol binge drinking during adolescence or dependence during adulthood reduces prefrontal myelin in male rats

Vargas, W. M., Bengston, L., Gilpin, N. W., Whitcomb, B. W., & Richardson, H. N. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3189-13.2014 · Cited by 99

Exploratory bifactor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition with the 16 primary and secondary subtests

Dombrowski, S. C., Canivez, G. L., Watkins, M. W., & Alexander Beaujean, A. (2015) · Intelligence · doi:10.1016/j.intell.2015.10.009 · Cited by 105

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

The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers

Buschek, D., Zürn, M., & Eiband, M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445372 · Cited by 108

Hybrid implementation model of community‐partnered early intervention for toddlers with autism: a randomized trial

Shire, S. Y., Chang, Y., Shih, W., Bracaglia, S., Kodjoe, M., & Kasari, C. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12672 · Cited by 104

Reevaluating the effectiveness of n-back training on transfer through the Bayesian lens: Support for the null

Dougherty, M. R., Hamovitz, T., & Tidwell, J. W. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0865-9 · Cited by 112

Proteomic changes in serum of first onset, antidepressant drug-naïve major depression patients

Stelzhammer, V., Haenisch, F., Chan, M. K., Cooper, J. D., Steiner, J., Steeb, H., Martins-de-Souza, D., Rahmoune, H., Guest, P. C., & Bahn, S. (2014) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145714000819 · Cited by 105

Mutational landscape of antibody variable domains reveals a switch modulating the interdomain conformational dynamics and antigen binding

Koenig, P., Lee, C. V., Walters, B. T., Janakiraman, V., Stinson, J., Patapoff, T. W., & Fuh, G. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613231114 · Cited by 107

Clinical Prediction Model and Tool for Assessing Risk of Persistent Pain After Breast Cancer Surgery.

Meretoja, T. J., Andersen, K. G., Bruce, J., Haasio, L., Sipilä, R., Scott, N. W., Ripatti, S., Kehlet, H., & Kalso, E. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2016.70.3413 · Cited by 106

The pyrodiversity–biodiversity hypothesis: a test with savanna termite assemblages

Davies, A. B., Eggleton, P., van Rensburg, B. J., & Parr, C. L. (2012) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2012.02107.x · Cited by 106

CD40L expression permits CD8+ T cells to execute immunologic helper functions

Frentsch, M., Stark, R., Matzmohr, N., Meier, S., Durlanik, S., Schulz, A. R., Stervbo, U., Jürchott, K., Gebhardt, F., Heine, G., et al. (2013) · Blood · doi:10.1182/blood-2013-02-483586 · Cited by 100

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

CPAP as treatment of sleep apnea after stroke: A meta-analysis of randomized trials

Brill, A.-K., Horvath, T., Seiler, A., Camilo, M., Haynes, A. G., Ott, S. R., Egger, M., & Bassetti, C. L. (2018) · Neurology · doi:10.1212/wnl.0000000000005262 · 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

Using cluster bootstrapping to analyze nested data with a few clusters

Huang, F. L. (2018) · Educational and Psychological Measurement · doi:10.1177/0013164416678980 · Cited by 107

Evaluation of urinary iodine excretion as a biomarker for intake of milk and dairy products in pregnant women in the Norwegian Mother and Child Cohort Study (MoBa)

Brantsæter, A. L., Haugen, M., Julshamn, K., Alexander, J., & Meltzer, H. M. (2009) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602952 · Cited by 105

High Arctic plant phenology is determined by snowmelt patterns but duration of phenological periods is fixed: an example of periodicity

Semenchuk, P. R., Gillespie, M. A. K., Rumpf, S. B., Baggesen, N., Elberling, B., & Cooper, E. J. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/12/125006 · Cited by 101

Randomized controlled trial of a book-sharing intervention in a deprived South African community: Effects on carer–infant interactions, and their relation to infant cognitive and socioemotional outcome

Murray, L., De Pascalis, L., Tomlinson, M., Vally, Z., Dadomo, H., MacLachlan, B., Woodward, C., & Cooper, P. J. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12605 · Cited by 101

A flexible, interpretable framework for assessing sensitivity to unmeasured confounding

Dorie, V., Harada, M., Carnegie, N. B., & Hill, J. (2016) · Statistics in Medicine · doi:10.1002/sim.6973 · Cited by 104

Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds

Browning, E., Bolton, M., Owen, E., Shoji, A., Guilford, T., & Freeman, R. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12926 · Cited by 107

An AI-Based System for Formative and Summative Assessment in Data Science Courses

Vittorini, P., Menini, S., & Tonelli, S. (2021) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-020-00230-2 · Cited by 105

Variability of Stuttering: Behavior and Impact

Tichenor, S. E., & Yaruss, J. S. (2021) · American Journal of Speech-Language Pathology · doi:10.1044/2020_ajslp-20-00112 · Cited by 105

Longitudinal β-Amyloid Deposition and Hippocampal Volume in Preclinical Alzheimer Disease and Suspected Non–Alzheimer Disease Pathophysiology

Gordon, B. A., Blazey, T., Su, Y., Fagan, A. M., Holtzman, D. M., Morris, J. C., & Benzinger, T. L. S. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.2642 · Cited by 105

Land-surface parameters for spatial predictive mapping and modeling

Maxwell, A. E., & Shobe, C. M. (2022) · Earth-Science Reviews · doi:10.1016/j.earscirev.2022.103944 · Cited by 105

Distribution and Habitat Associations of Billfish and Swordfish Larvae across Mesoscale Features in the Gulf of Mexico

Rooker, J. R., Simms, J. R., Wells, R. J. D., Holt, S. A., Holt, G. J., Graves, J. E., & Furey, N. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034180 · Cited by 105

A meta-analysis of humble leadership: Reviewing individual, team, and organizational outcomes of leader humility

Chandler, J. A., Johnson, N. E., Jordan, S. L., B, D. K., & Short, J. C. (2023) · The Leadership Quarterly · doi:10.1016/j.leaqua.2022.101660 · Cited by 105

Evidence From Family Studies for Autoimmunity in Arrhythmogenic Right Ventricular Cardiomyopathy: Associations of Circulating Anti-Heart and Anti-Intercalated Disk Autoantibodies With Disease Severity and Family History

Caforio, A. L. P., Re, F., Avella, A., Marcolongo, R., Baratta, P., Seguso, M., Gallo, N., Plebani, M., Izquierdo-Bajo, A., Cheng, C.-Y., et al. (2020) · Circulation · doi:10.1161/circulationaha.119.043931 · Cited by 104

Advancing predictive modeling in archaeology: an evaluation of regression and machine learning methods on the grand staircase-escalante national monument

Yaworsky, P. M., Vernon, K. B., Spangler, J. D., Brewer, S. C., & Codding, B. F. (2020) · PLOS One · doi:10.1371/journal.pone.0239424 · Cited by 104

Anxiety, mood, and substance use disorders in adult men and women with and without attention-deficit/hyperactivity disorder: A substantive and methodological overview

Hartman, C. A., Larsson, H., Vos, M., Bellato, A., Libutzki, B., Solberg, B. S., Chen, Q., Du Rietz, E., Mostert, J. C., Kittel-Schneider, S., et al. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105209 · Cited by 104

The role of community participation for sustainable integrated neglected tropical diseases and water, sanitation and hygiene intervention programs: A pilot project in Tanzania

Madon, S., Malecela, M. N., Mashoto, K., Donohue, R., Mubyazi, G., & Michael, E. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.02.016 · Cited by 104

Heavy metal and antibiotic resistance in four Indian and UK rivers with different levels and types of water pollution

Gupta, S., Graham, D. W., Sreekrishnan, T. R., & Ahammad, S. Z. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.159059 · Cited by 104

The dynamic role of genetics on cortical patterning during childhood and adolescence

Schmitt, J. E., Neale, M. C., Fassassi, B., Perez, J., Lenroot, R. K., Wells, E. M., & Giedd, J. N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311630111 · Cited by 103

From laboratory to road: Modeling the divergence between official and real-world fuel consumption and CO2 emission values in the German passenger car market for the years 2001–2014

Tietge, U., Mock, P., Franco, V., & Zacharof, N. (2017) · Energy Policy · doi:10.1016/j.enpol.2017.01.021 · Cited by 103

SARS-CoV-2 infection and viral load are associated with the upper respiratory tract microbiome

Rosas-Salazar, C., Kimura, K. S., Shilts, M. H., Strickland, B. A., Freeman, M. H., Wessinger, B. C., Gupta, V., Brown, H. M., Rajagopala, S. V., Turner, J. H., et al. (2021) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2021.02.001 · Cited by 92

Brief Behavioral Interventions for Substance Use in Adolescents: A Meta-analysis

Steele, D. W., Becker, S. J., Danko, K. J., Balk, E. M., Adam, G. P., Saldanha, I. J., & Trikalinos, T. A. (2020) · Pediatrics · doi:10.1542/peds.2020-0351 · Cited by 99

Direct Medical Costs of Constipation From Childhood to Early Adulthood: A Population‐based Birth Cohort Study

Choung, R. S., Shah, N. D., Chitkara, D., Branda, M. E., Van Tilburg, M. A., Whitehead, W. E., Katusic, S. K., Locke, G. R., & Talley, N. J. (2011) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e3181e67058 · Cited by 103

Positron Emission Tomography Quantification of Serotonin Transporter in Suicide Attempters with Major Depressive Disorder

Miller, J. M., Hesselgrave, N., Ogden, R. T., Sullivan, G. M., Oquendo, M. A., Mann, J. J., & Parsey, R. V. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.01.024 · Cited by 102

Online, offline, and over the line: Coercive sexting among adolescent dating partners

Kernsmith, P. D., Victor, B. G., & Smith-Darden, J. P. (2018) · Youth & Society · doi:10.1177/0044118x18764040 · Cited by 102

A Comparison of the Sensory Development of Wolves (Canis lupus lupus) and Dogs (Canis lupus familiaris)

Lord, K. (2013) · Ethology · doi:10.1111/eth.12044 · Cited by 100

Are disease reservoirs special? Taxonomic and life history characteristics

Plourde, B. T., Burgess, T. L., Eskew, E. A., Roth, T. M., Stephenson, N., & Foley, J. E. (2017) · PLOS ONE · doi:10.1371/journal.pone.0180716 · Cited by 95

Examining faculty and student perceptions of generative AI in university courses

Kim, J., Klopfer, M., Grohs, J. R., Eldardiry, H., Weichert, J., Cox, L. A., & Pike, D. (2025) · Innovative Higher Education · doi:10.1007/s10755-024-09774-w · Cited by 109

Increased core body temperature in astronauts during long-duration space missions

Stahn, A. C., Werner, A., Opatz, O., Maggioni, M. A., Steinach, M., von Ahlefeld, V. W., Moore, A., Crucian, B. E., Smith, S. M., Zwart, S. R., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-15560-w · Cited by 100

scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data

Pappalardo, L., Simini, F., Barlacchi, G., & Pellungrini, R. (2022) · Journal of Statistical Software · doi:10.18637/jss.v103.i04 · Cited by 102

The Testing Effect in the Psychology Classroom: A Meta-Analytic Perspective

Schwieren, J., Barenberg, J., & Dutke, S. (2017) · Psychology Learning & Teaching · doi:10.1177/1475725717695149 · Cited by 100

Further evidence for the capacity of mirror self-recognition in cleaner fish and the significance of ecologically relevant marks

Kohda, M., Sogawa, S., Jordan, A. L., Kubo, N., Awata, S., Satoh, S., Kobayashi, T., Fujita, A., & Bshary, R. (2022) · PLOS Biology · doi:10.1371/journal.pbio.3001529 · Cited by 99

The serotonin transporter in depression: Meta-analysis of in vivo and post mortem findings and implications for understanding and treating depression

Kambeitz, J. P., & Howes, O. D. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.07.034 · Cited by 96

Persistence of Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 in Relation to Symptoms in a Nationwide Prospective Study

den Hartog, G., Vos, E. R. A., van den Hoogen, L. L., van Boven, M., Schepp, R. M., Smits, G., van Vliet, J., Woudstra, L., Wijmenga-Monsuur, A. J., van Hagen, C. C. E., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab172 · Cited by 92

Do emotions result in their predicted facial expressions? A meta-analysis of studies on the co-occurrence of expression and emotion.

Durán, J. I., & Fernández-Dols, J.-M. (2021) · Emotion · doi:10.1037/emo0001015 · Cited by 101

Effectiveness of Web-based Psychological Interventions for Depression: A Meta-analysis

Cowpertwait, L., & Clarke, D. (2013) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-012-9416-z · Cited by 101

Detecting small changes in populations at landscape scales: a bioacoustic site-occupancy framework

Wood, C. M., Popescu, V. D., Klinck, H., Keane, J. J., Gutiérrez, R. J., Sawyer, S. C., & Peery, M. Z. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2018.11.018 · Cited by 103

Distinct patterns in the gut microbiota after surgical or medical therapy in obese patients

Medina, D. A., Pedreros, J. P., Turiel, D., Quezada, N., Pimentel, F., Escalona, A., & Garrido, D. (2017) · PeerJ · doi:10.7717/peerj.3443 · Cited by 101

Divergent functional isoforms drive niche specialisation for nutrient acquisition and use in rumen microbiome

Rubino, F., Carberry, C., Waters, S. M., Kenny, D., McCabe, M. S., & Creevey, C. J. (2017) · The ISME Journal · doi:10.1038/ismej.2016.172 · Cited by 101

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

Examining the correlates of psychological flexibility in romantic relationship and family dynamics: a meta-analysis

Daks, J. S., & Rogge, R. D. (2020) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2020.09.010 · Cited by 101

Systematic analysis of intrinsic enhancer-promoter compatibility in the mouse genome

Martinez-Ara, M., Comoglio, F., van Arensbergen, J., & van Steensel, B. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.04.009 · Cited by 101

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

Fashion vs. Function in Cultural Evolution: The Case of Dog Breed Popularity

Ghirlanda, S., Acerbi, A., Herzog, H., & Serpell, J. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074770 · Cited by 100

Reliability and validity of the NeuroCognitive Performance Test, a web-based neuropsychological assessment

Morrison, G. E., Simone, C. M., Ng, N. F., & Hardy, J. L. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01652 · Cited by 100

Measures matter: A meta-analysis of the effects of educational apps on preschool to grade 3 children’s literacy and math skills

Kim, J., Gilbert, J., Yu, Q., & Gale, C. (2021) · AERA Open · doi:10.1177/23328584211004183 · Cited by 102

A comparison of analysis methods for late-stage variety evaluation trials

Welham, S. J., Gogel, B. J., Smith, A. B., Thompson, R., & Cullis, B. R. (2010) · Australian & New Zealand Journal of Statistics · doi:10.1111/j.1467-842x.2010.00570.x · Cited by 98

Plasma Based Markers of [11C] PiB-PET Brain Amyloid Burden

Kiddle, S. J., Thambisetty, M., Simmons, A., Riddoch-Contreras, J., Hye, A., Westman, E., Pike, I., Ward, M., Johnston, C., Lupton, M. K., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044260 · Cited by 100

Reservoirs of antimicrobial resistance genes in retail raw milk

Liu, J., Zhu, Y., Jay-Russell, M., Lemay, D. G., & Mills, D. A. (2020) · Microbiome · doi:10.1186/s40168-020-00861-6 · Cited by 99

AutoMoDe-Chocolate: automatic design of control software for robot swarms

Francesca, G., Brambilla, M., Brutschy, A., Garattoni, L., Miletitch, R., Podevijn, G., Reina, A., Soleymani, T., Salvaro, M., Pinciroli, C., et al. (2015) · Swarm Intelligence · doi:10.1007/s11721-015-0107-9 · Cited by 99

Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics.

Adhikari, L., Ozrazgat-Baslanti, T., Ruppert, M., Madushani, R. W. M. A., Paliwal, S., Hashemighouchani, H., Zheng, F., Tao, M., Lopes, J. M., Li, X., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0214904 · Cited by 98

Carbonization temperature and feedstock type interactively affect chemical, fuel, and surface properties of hydrochars

Nzediegwu, C., Naeth, M. A., & Chang, S. X. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2021.124976 · Cited by 99

Brain structural concomitants of resting state heart rate variability in the young and old: evidence from two independent samples

Yoo, H. J., Thayer, J. F., Greening, S., Lee, T.-H., Ponzio, A., Min, J., Sakaki, M., Nga, L., Mather, M., & Koenig, J. (2018) · Brain Structure and Function · doi:10.1007/s00429-017-1519-7 · Cited by 94

Prevalence, characteristics, and predictors of early termination of cardiovascular clinical trials due to low recruitment: Insights from the ClinicalTrials.gov registry

Bernardez-Pereira, S., Lopes, R. D., Carrion, M. J. M., Santucci, E. V., Soares, R. M., de Oliveira Abreu, M., Laranjeira, L. N., Ikeoka, D. T., Zazula, A. D., Moreira, F. R., et al. (2014) · American Heart Journal · doi:10.1016/j.ahj.2014.04.013 · Cited by 94

Benefits of higher resistance-training volume are related to ribosome biogenesis

Hammarström, D., Øfsteng, S., Koll, L., Hanestadhaugen, M., Hollan, I., Apró, W., Whist, J. E., Blomstrand, E., Rønnestad, B. R., & Ellefsen, S. (2020) · The Journal of Physiology · doi:10.1113/jp278455 · Cited by 99

A simple tool to predict admission at the time of triage

Cameron, A., Rodgers, K., Ireland, A., Jamdar, R., & McKay, G. A. (2015) · Emergency Medicine Journal · doi:10.1136/emermed-2013-203200 · Cited by 99

Compensatory Evolution of Gene Regulation in Response to Stress by Escherichia coli Lacking RpoS

Stoebel, D. M., Hokamp, K., Last, M. S., & Dorman, C. J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000671 · Cited by 99

Prevalence of flea infestation in dogs and cats in Hungary combined with a survey of owner awareness

FARKAS, R., GYURKOVSZKY, M., SOLYMOSI, N., & BEUGNET, F. (2009) · Medical and Veterinary Entomology · doi:10.1111/j.1365-2915.2009.00798.x · Cited by 99

How Mindfulness Enhances Meaning in Life: A Meta-Analysis of Correlational Studies and Randomized Controlled Trials

Chu, S. T.-W., & Mak, W. W. S. (2020) · Mindfulness · doi:10.1007/s12671-019-01258-9 · Cited by 99

Making 'Null Effects' Informative: Statistical Techniques and Inferential Frameworks

Harms, C., & Lakens, D. (2018) · doi:10.31234/osf.io/48zca · Cited by 99

Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort

Vockley, C. M., Guo, C., Majoros, W. H., Nodzenski, M., Scholtens, D. M., Hayes, M. G., Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190090.115 · Cited by 99

Persistence of Parent-Reported ADHD Symptoms From Childhood Through Adolescence in a Community Sample

Holbrook, J. R., Cuffe, S. P., Cai, B., Visser, S. N., Forthofer, M. S., Bottai, M., Ortaglia, A., & McKeown, R. E. (2016) · Journal of Attention Disorders · doi:10.1177/1087054714539997 · Cited by 99

Efficient estimation of smooth distributions from coarsely grouped data

Rizzi, S., Gampe, J., & Eilers, P. H. C. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv020 · Cited by 98

Specific Features of Subjective Cognitive Decline Predict Faster Conversion to Mild Cognitive Impairment

Fernández-Blázquez, M. A., Ávila-Villanueva, M., Maestú, F., & Medina, M. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150956 · Cited by 98

Describing the emotional exhaustion, depersonalization, and low personal accomplishment symptoms associated with Maslach Burnout Inventory subscale scores in US physicians: an item response theory analysis

Brady, K. J. S., Ni, P., Sheldrick, R. C., Trockel, M. T., Shanafelt, T. D., Rowe, S. G., Schneider, J. I., & Kazis, L. E. (2020) · Journal of Patient-Reported Outcomes · doi:10.1186/s41687-020-00204-x · Cited by 99

Environmental DNA metabarcoding read numbers and their variability predict species abundance, but weakly in non‐dominant species

Skelton, J., Cauvin, A., & Hunter, M. E. (2023) · Environmental DNA · doi:10.1002/edn3.355 · Cited by 99

Winter severity limits red fox populations in Eurasia

Bartoń, K. A., & Zalewski, A. (2007) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00299.x · Cited by 95

A peek into the black box: exploring classifiers by randomization

Henelius, A., Puolamäki, K., Boström, H., Asker, L., & Papapetrou, P. (2014) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-014-0368-8 · Cited by 98

SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots

Moreira, I. S., Koukos, P. I., Melo, R., Almeida, J. G., Preto, A. J., Schaarschmidt, J., Trellet, M., Gümüş, Z. H., Costa, J., & Bonvin, A. M. J. J. (2017) · Scientific Reports · doi:10.1038/s41598-017-08321-2 · Cited by 98

Neuroticism is associated with challenging experiences with psilocybin mushrooms

Barrett, F. S., Johnson, M. W., & Griffiths, R. R. (2017) · Personality and Individual Differences · doi:10.1016/j.paid.2017.06.004 · Cited by 98

Identifying early modern human ecological niche expansions and associated cultural dynamics in the South African Middle Stone Age

d’Errico, F., Banks, W. E., Warren, D. L., Sgubin, G., van Niekerk, K., Henshilwood, C., Daniau, A.-L., & Sánchez Goñi, M. F. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620752114 · Cited by 98

Enhanced nitrate and phosphate removal in a denitrifying bioreactor with biochar

Bock, E., Smith, N., Rogers, M., Coleman, B., Reiter, M., Benham, B., & Easton, Z. M. (2015) · Journal of Environmental Quality · doi:10.2134/jeq2014.03.0111 · Cited by 93

Peripheral selection rather than thymic involution explains sudden contraction in naive CD4 T-cell diversity with age

Johnson, P. L. F., Yates, A. J., Goronzy, J. J., & Antia, R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1209283110 · Cited by 94

Key role of MIF-related neuroinflammation in neurodegeneration and cognitive impairment in Alzheimer’s disease

Nasiri, E., Sankowski, R., Dietrich, H., Oikonomidi, A., Huerta, P. T., Popp, J., Al-Abed, Y., & Bacher, M. (2020) · Molecular Medicine · doi:10.1186/s10020-020-00163-5 · Cited by 91

Can school counselors deliver cognitive‐behavioral treatment for social anxiety effectively? A randomized controlled trial

Masia Warner, C., Colognori, D., Brice, C., Herzig, K., Mufson, L., Lynch, C., Reiss, P. T., Petkova, E., Fox, J., Moceri, D. C., et al. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12550 · Cited by 95

Effects of Vegetation Structure on the Location of Lion Kill Sites in African Thicket

Davies, A. B., Tambling, C. J., Kerley, G. I. H., & Asner, G. P. (2016) · PLOS ONE · doi:10.1371/journal.pone.0149098 · Cited by 97

The effect of organic and conventional management on the yield and quality of wheat grown in a long-term field trial

Bilsborrow, P., Cooper, J., Tétard-Jones, C., Średnicka-Tober, D., Barański, M., Eyre, M., Schmidt, C., Shotton, P., Volakakis, N., Cakmak, I., et al. (2013) · European Journal of Agronomy · doi:10.1016/j.eja.2013.06.003 · Cited by 97

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

Low-Carbohydrate Diet for the Treatment of Gestational Diabetes Mellitus

Moreno-Castilla, C., Hernandez, M., Bergua, M., Alvarez, M. C., Arce, M. A., Rodriguez, K., Martinez-Alonso, M., Iglesias, M., Mateu, M., Santos, M. D., et al. (2013) · Diabetes Care · doi:10.2337/dc12-2714 · Cited by 97

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