R: A Language and Environment for Statistical Computing

How Our Ancestors Broke through the Gray Ceiling: Comparative Evidence for Cooperative Breeding in Early Homo

Isler, K., & van Schaik, C. P. (2012) · Current Anthropology · doi:10.1086/667623 · Cited by 144

Open digital mapping as a cost-effective method for mapping peat thickness and assessing the carbon stock of tropical peatlands

Rudiyanto, Minasny, B., Setiawan, B. I., Saptomo, S. K., & McBratney, A. B. (2018) · Geoderma · doi:10.1016/j.geoderma.2017.10.018 · Cited by 143

Novel Fluoroalkylated Surfactants in Soils Following Firefighting Foam Deployment During the Lac-Mégantic Railway Accident

Mejia-Avendaño, S., Munoz, G., Vo Duy, S., Desrosiers, M., Benoı̂t, P., Sauvé, S., & Liu, J. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02028 · Cited by 147

Green space context and vegetation complexity shape people’s preferences for urban public parks and residential gardens

Harris, V., Kendal, D., Hahs, A. K., & Threlfall, C. G. (2018) · Landscape Research · doi:10.1080/01426397.2017.1302571 · Cited by 146

Critical fluctuations as an early-warning signal for sudden gains and losses in patients receiving psychotherapy for mood disorders

Olthof, M., Hasselman, F., Strunk, G., van Rooij, M., Aas, B., Helmich, M. A., Schiepek, G., & Lichtwarck-Aschoff, A. (2020) · Clinical Psychological Science · doi:10.1177/2167702619865969 · Cited by 146

Is supplementary feeding in gardens a driver of evolutionary change in a migratory bird species?

Plummer, K. E., Siriwardena, G. M., Conway, G. J., Risely, K., & Toms, M. P. (2015) · Global Change Biology · doi:10.1111/gcb.13070 · Cited by 146

Modelling the Geographical Origin of Rice Cultivation in Asia Using the Rice Archaeological Database

Silva, F., Stevens, C. J., Weisskopf, A., Castillo, C., Qin, L., Bevan, A., & Fuller, D. Q. (2015) · PLOS ONE · doi:10.1371/journal.pone.0137024 · Cited by 146

The effect of occupancy on perceived control, neutral temperature, and behavioral patterns

Schweiker, M., & Wagner, A. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2015.10.051 · Cited by 146

Cognitive Bias Modification for Behavior Change in Alcohol and Smoking Addiction: Bayesian Meta-Analysis of Individual Participant Data

Boffo, M., Zerhouni, O., Gronau, Q. F., van Beek, R. J. J., Nikolaou, K., Marsman, M., & Wiers, R. W. (2019) · Neuropsychology Review · doi:10.1007/s11065-018-9386-4 · Cited by 146

The Lion in West Africa Is Critically Endangered

Henschel, P., Coad, L., Burton, C., Chataigner, B., Dunn, A., MacDonald, D., Saidu, Y., & Hunter, L. T. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083500 · Cited by 146

High-throughput functional comparison of promoter and enhancer activities

Nguyen, T. A., Jones, R. D., Snavely, A. R., Pfenning, A. R., Kirchner, R., Hemberg, M., & Gray, J. M. (2016) · Genome Research · doi:10.1101/gr.204834.116 · Cited by 146

WILLOW ON YELLOWSTONE'S NORTHERN RANGE: EVIDENCE FOR A TROPHIC CASCADE?

Beyer, H. L., Merrill, E. H., Varley, N., & Boyce, M. S. (2007) · Ecological Applications · doi:10.1890/06-1254.1 · Cited by 142

Pathways to Adult Sexual Revictimization: Direct and Indirect Behavioral Risk Factors Across the Lifespan

Fargo, J. D. (2009) · Journal of Interpersonal Violence · doi:10.1177/0886260508325489 · Cited by 144

Anticipation in turn-taking: mechanisms and information sources

Riest, C., Jorschick, A. B., & de Ruiter, J. P. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00089 · Cited by 145

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

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD

Anderson, A., Douglas, P. K., Kerr, W. T., Haynes, V. S., Yuille, A. L., Xie, J., Wu, Y. N., Brown, J. A., & Cohen, M. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.015 · Cited by 136

Lactic Acid Bacteria Isolated from Bovine Mammary Microbiota: Potential Allies against Bovine Mastitis

Bouchard, D. S., Seridan, B., Saraoui, T., Rault, L., Germon, P., Gonzalez-Moreno, C., Nader-Macias, F. M. E., Baud, D., François, P., Chuat, V., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0144831 · Cited by 144

Reducing the extinction of experience: association between urban form and recreational use of public greenspace

Soga, M., Yamaura, Y., Aikoh, T., Shoji, Y., Kubo, T., & Gaston, K. J. (2015) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2015.06.003 · Cited by 144

Measuring phylogenetic signal between categorical traits and phylogenies

Borges, R., Machado, J. P., Gomes, C., Rocha, A. P., & Antunes, A. (2019) · Bioinformatics · doi:10.1093/bioinformatics/bty800 · Cited by 144

Relationships among multiple aspects of agriculture's environmental impact and productivity: a meta‐analysis to guide sustainable agriculture

German, R. N., Thompson, C. E., & Benton, T. G. (2017) · Biological Reviews · doi:10.1111/brv.12251 · Cited by 144

Effect of habitat complexity attributes on species richness

St. Pierre, J. I., & Kovalenko, K. E. (2014) · Ecosphere · doi:10.1890/es13-00323.1 · Cited by 144

ABC-SysBio approximate Bayesian computation in Python with GPU support

Liepe, J., Barnes, C., Cule, E., Erguler, K., Kirk, P., Toni, T., & Stumpf, M. P. H. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq278 · Cited by 136

Effect of HSV-2 serostatus on acquisition of HIV by young men: results of a longitudinal study in Orange Farm, South Africa.

Sobngwi‐Tambekou, J., Taljaard, D., Lissouba, P., Zarca, K., Puren, A., Lagarde, E., & Auvert, B. (2009) · The Journal of Infectious Diseases · doi:10.1086/597208 · Cited by 142

Mechanisms of cognitive impairment in cerebral small vessel disease: multimodal MRI results from the St George’s cognition and neuroimaging in stroke (SCANS) study

Lawrence, A. J., Patel, B., Morris, R. G., MacKinnon, A. D., Rich, P. M., Barrick, T. R., & Markus, H. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061014 · Cited by 140

The psychological roots of intellectual humility: The role of intelligence and cognitive flexibility

Zmigrod, L., Zmigrod, S., Rentfrow, P. J., & Robbins, T. W. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.01.016 · Cited by 142

Beware of machine learning-based scoring functions-on the danger of developing black boxes.

Gabel, J., Desaphy, J., & Rognan, D. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci500406k · Cited by 143

Predictive equations versus measured energy expenditure by indirect calorimetry: A retrospective validation

Zusman, O., Kagan, I., Bendavid, I., Theilla, M., Cohen, J., & Singer, P. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2018.04.020 · Cited by 143

Dairy cattle in a temperate climate: the effects of weather on milk yield and composition depend on management

Hill, D. L., & Wall, E. (2015) · Animal · doi:10.1017/s1751731114002456 · Cited by 143

Disorganized attachment in infancy predicts greater amygdala volume in adulthood

Lyons-Ruth, K., Pechtel, P., Yoon, S. A., Anderson, C. M., & Teicher, M. H. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.03.050 · Cited by 142

Predicting how populations decline to extinction

Collen, B., McRae, L., Deinet, S., De Palma, A., Carranza, T., Cooper, N., Loh, J., & Baillie, J. E. M. (2011) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2011.0015 · Cited by 141

Preventive interventions for individuals at ultra high risk for psychosis: An updated and extended meta-analysis

Mei, C., van der Gaag, M., Nelson, B., Smit, F., Yuen, H. P., Berger, M., Krcmar, M., French, P., Amminger, G. P., Bechdolf, A., et al. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102005 · Cited by 143

The use of Bayesian priors in Ecology: The good, the bad and the not great

Banner, K. M., Irvine, K. M., & Rodhouse, T. J. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13407 · Cited by 135

The relationship between acceptance of cancer and distress: A meta-analytic review

Secinti, E., Tometich, D. B., Johns, S. A., & Mosher, C. E. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.05.001 · Cited by 132

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

The pupillary light response as a physiological index of aphantasia, sensory and phenomenological imagery strength

Kay, L., Keogh, R., Andrillon, T., & Pearson, J. (2022) · eLife · doi:10.7554/elife.72484 · Cited by 142

Dynamic evolutionary change in post-Paleozoic echinoids and the importance of scale when interpreting changes in rates of evolution

Hopkins, M. J., & Smith, A. B. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418153112 · Cited by 133

Functional differences between mesenchymal stem cell populations are reflected by their transcriptome

Jansen, B. J. H., Gilissen, C., Roelofs, H., Schaap-Oziemlak, A., Veltman, J. A., Raymakers, R. A. P., Jansen, J. H., Kögler, G., Figdor, C. G., Torensma, R., et al. (2010) · Stem Cells and Development · doi:10.1089/scd.2009.0288 · Cited by 139

Common and disorder-specific neural responses to emotional faces in generalised anxiety, social anxiety and panic disorders

Fonzo, G. A., Ramsawh, H. J., Flagan, T. M., Sullivan, S. G., Letamendi, A., Simmons, A. N., Paulus, M. P., & Stein, M. B. (2015) · British Journal of Psychiatry · doi:10.1192/bjp.bp.114.149880 · Cited by 138

Transcriptional Control of Monocyte Gene Expression in Post-Traumatic Stress Disorder

O’Donovan, A., Sun, B., Cole, S., Rempel, H., Lenoci, M., Pulliam, L., & Neylan, T. (2011) · Disease Markers · doi:10.1155/2011/560572 · Cited by 141

The role of gender in the perception of autism symptom severity and future behavioral development

Geelhand, P., Bernard, P., Klein, O., van Tiel, B., & Kissine, M. (2019) · Molecular Autism · doi:10.1186/s13229-019-0266-4 · Cited by 141

Locally produced wood biochar increases nutrient retention and availability in agricultural soils of the San Juan Islands, USA

Gao, S., Hoffman-Krull, K., Bidwell, A. L., & DeLuca, T. H. (2016) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2016.08.028 · Cited by 141

State-space models’ dirty little secrets: even simple linear Gaussian models can have estimation problems

Auger-Méthé, M., Field, C., Albertsen, C. M., Derocher, A. E., Lewis, M. A., Jonsen, I. D., & Mills Flemming, J. (2016) · Scientific Reports · doi:10.1038/srep26677 · Cited by 141

Alzheimer’s disease profiled by fluid and imaging markers: tau PET best predicts cognitive decline

Bucci, M., Chiotis, K., Nordberg, A., & Initiative, F. T. A. D. N. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01263-2 · Cited by 140

Methods for causal inference from gene perturbation experiments and validation

Meinshausen, N., Hauser, A., Mooij, J. M., Peters, J., Versteeg, P., & Bühlmann, P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510493113 · Cited by 140

Web-based behavioral treatment for substance use disorders as a partial replacement of standard methadone maintenance treatment

Marsch, L. A., Guarino, H., Acosta, M., Aponte-Melendez, Y., Cleland, C., Grabinski, M., Brady, R., & Edwards, J. (2014) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2013.08.012 · Cited by 139

The efficacy of cognitive and behavior therapies for insomnia on daytime symptoms: a systematic review and network meta-analysis

Benz, F., Knoop, T., Ballesio, A., Bacaro, V., Johann, A. F., Rücker, G., Feige, B., Riemann, D., & Baglioni, C. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101873 · Cited by 142

Effects of testosterone treatment on glucose metabolism and symptoms in men with type 2 diabetes and the metabolic syndrome: a systematic review and meta‐analysis of randomized controlled clinical trials

Grossmann, M., Hoermann, R., Wittert, G., & Yeap, B. B. (2015) · Clinical Endocrinology · doi:10.1111/cen.12664 · Cited by 139

Life satisfaction linked to the diversity of nature experiences and nature views from the window

Chang, C.-C., Oh, R. R. Y., Nghiem, T. P. L., Zhang, Y., Tan, C. L. Y., Lin, B. B., Gaston, K. J., Fuller, R. A., & Carrasco, L. R. (2020) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2020.103874 · Cited by 140

Inositol is an effective and safe treatment in polycystic ovary syndrome: a systematic review and meta-analysis of randomized controlled trials

Greff, D., Juhász, A. E., Váncsa, S., Váradi, A., Sipos, Z., Szinte, J., Park, S., Hegyi, P., Nyirády, P., Ács, N., et al. (2023) · Reproductive Biology and Endocrinology · doi:10.1186/s12958-023-01055-z · Cited by 143

Differential benefits of mental training types for attention, compassion, and theory of mind

Trautwein, F.-M., Kanske, P., Böckler, A., & Singer, T. (2020) · Cognition · doi:10.1016/j.cognition.2019.104039 · Cited by 139

Sugar reduction in probiotic chocolate-flavored milk: Impact on dynamic sensory profile and liking

Oliveira, D., Antúnez, L., Giménez, A., Castura, J. C., Deliza, R., & Ares, G. (2015) · Food Research International · doi:10.1016/j.foodres.2015.05.050 · Cited by 139

A Social Capital Perspective on the Mentoring of Undergraduate Life Science Researchers: An Empirical Study of Undergraduate–Postgraduate–Faculty Triads

Aikens, M. L., Sadselia, S., Watkins, K., Evans, M., Eby, L. T., & Dolan, E. L. (2016) · CBE—Life Sciences Education · doi:10.1187/cbe.15-10-0208 · Cited by 139

High-Resolution Epigenomic Atlas of Human Embryonic Craniofacial Development

Wilderman, A., VanOudenhove, J., Kron, J., Noonan, J. P., & Cotney, J. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.129 · Cited by 139

Combinations of techniques that effectively change health behavior: evidence from Meta-CART analysis

Dusseldorp, E., van Genugten, L., van Buuren, S., Verheijden, M. W., & van Empelen, P. (2014) · Health Psychology · doi:10.1037/hea0000018 · Cited by 138

Efficacy and safety of anti-inflammatory agents in treatment of psychotic disorders – A comprehensive systematic review and meta-analysis

Jeppesen, R., Christensen, R. H. B., Pedersen, E. M. J., Nordentoft, M., Hjorthøj, C., Köhler-Forsberg, O., & Benros, M. E. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.08.028 · Cited by 132

BDNF Val66Met polymorphism and hippocampal volume in neuropsychiatric disorders: A systematic review and meta-analysis

Harrisberger, F., Smieskova, R., Schmidt, A., Lenz, C., Walter, A., Wittfeld, K., Grabe, H. J., Lang, U. E., Fusar-Poli, P., & Borgwardt, S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.04.017 · Cited by 138

How to handle mortality when investigating length of hospital stay and time to clinical stability

Brock, G. N., Barnes, C., Ramirez, J. A., & Myers, J. (2011) · BMC Medical Research Methodology · doi:10.1186/1471-2288-11-144 · Cited by 138

Assessing the professional identity of primary student teachers: Design and validation of the Teacher Identity Measurement Scale

Hanna, F., Oostdam, R., Severiens, S. E., & Zijlstra, B. J. H. (2020) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2019.100822 · Cited by 138

Clinical activity and tolerability of enzalutamide (MDV3100) in patients with metastatic, castration‐resistant prostate cancer who progress after docetaxel and abiraterone treatment

Badrising, S., van der Noort, V., van Oort, I. M., van den Berg, H. P., Los, M., Hamberg, P., Coenen, J. L., van den Eertwegh, A. J. M., de Jong, I. J., Kerver, E. D., et al. (2014) · Cancer · doi:10.1002/cncr.28518 · Cited by 136

CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV

Rajpurkar, P., O’Connell, C., Schechter, A., Asnani, N., Li, J., Kiani, A., Ball, R. L., Mendelson, M., Maartens, G., van Hoving, D. J., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-00322-2 · Cited by 137

A Social Network Approach Reveals Associations between Mouse Social Dominance and Brain Gene Expression

So, N., Franks, B., Lim, S., & Curley, J. P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0134509 · Cited by 135

Using Genetic Distance to Infer the Accuracy of Genomic Prediction

Scutari, M., Mackay, I., & Balding, D. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006288 · Cited by 137

Achieving Digital Wellbeing Through Digital Self-control Tools: A Systematic Review and Meta-analysis

Roffarello, A. M., & De Russis, L. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3571810 · Cited by 137

Structure and evolutionary history of a large family of NLR proteins in the zebrafish

Howe, K., Schiffer, P. H., Zielinski, J., Wiehe, T., Laird, G. K., Marioni, J. C., Soylemez, O., Kondrashov, F., & Leptin, M. (2016) · Open Biology · doi:10.1098/rsob.160009 · Cited by 137

Integrating genetic gain and gap analysis to predict improvements in crop productivity

Cooper, M., Tang, T., Gho, C., Hart, T., Hammer, G., & Messina, C. (2020) · Crop Science · doi:10.1002/csc2.20109 · Cited by 130

The effects of noncoding aquaporin‐4 single‐nucleotide polymorphisms on cognition and functional progression of Alzheimer's disease

Burfeind, K. G., Murchison, C. F., Westaway, S. K., Simon, M. J., Erten‐Lyons, D., Kaye, J. A., Quinn, J. F., & Iliff, J. J. (2017) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.05.001 · Cited by 136

Synaptogenesis and development of pyramidal neuron dendritic morphology in the chimpanzee neocortex resembles humans

Bianchi, S., Stimpson, C. D., Duka, T., Larsen, M. D., Janssen, W. G. M., Collins, Z., Bauernfeind, A. L., Schapiro, S. J., Baze, W. B., McArthur, M. J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301224110 · Cited by 136

B-cell-specific diversion of glucose carbon utilization reveals a unique vulnerability in B cell malignancies

Xiao, G., Chan, L. N., Klemm, L., Braas, D., Chen, Z., Geng, H., Zhang, Q. C., Aghajanirefah, A., Cosgun, K. N., Sadras, T., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.048 · Cited by 129

Evaluation of the causal effects between subjective wellbeing and cardiometabolic health: mendelian randomisation study

Wootton, R. E., Lawn, R. B., Millard, L. A. C., Davies, N. M., Taylor, A. E., Munafò, M. R., Timpson, N. J., Davis, O. S. P., Davey Smith, G., & Haworth, C. M. A. (2018) · BMJ · doi:10.1136/bmj.k3788 · Cited by 132

Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals

Hivert, V., Sidorenko, J., Rohart, F., Goddard, M. E., Yang, J., Wray, N. R., Yengo, L., & Visscher, P. M. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.02.014 · Cited by 136

AGA technical review on gastric intestinal metaplasia-epidemiology and risk factors

Altayar, O., Davitkov, P., Shah, S. C., Gawron, A. J., Morgan, D. R., Turner, K., & Mustafa, R. A. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.12.002 · Cited by 135

In-field degradation of soil-biodegradable plastic mulch films in a Mediterranean climate

Griffin-LaHue, D., Ghimire, S., Yu, Y., Scheenstra, E. J., Miles, C. A., & Flury, M. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.150238 · Cited by 135

A meta-analysis of cognitive therapy for worry in generalized anxiety disorder

Hanrahan, F., Field, A. P., Jones, F. W., & Davey, G. C. L. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.10.008 · Cited by 159

A structure-informed atlas of human-virus interactions

Lasso, G., Mayer, S. V., Winkelmann, E. R., Chu, T., Elliot, O., Patino-Galindo, J. A., Park, K., Rabadan, R., Honig, B., & Shapira, S. D. (2019) · Cell · doi:10.1016/j.cell.2019.08.005 · Cited by 133

A Critical Evaluation of the Reflective Functioning Questionnaire (RFQ)

Müller, S., Wendt, L. P., Spitzer, C., Masuhr, O., Back, S. N., & Zimmermann, J. (2022) · Journal of Personality Assessment · doi:10.1080/00223891.2021.1981346 · Cited by 138

Collective sense-making in times of crisis: Connecting terror management theory with Twitter user reactions to the Berlin terrorist attack

Fischer-Preßler, D., Schwemmer, C., & Fischbach, K. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.05.012 · Cited by 133

Reductions in commuting mobility correlate with geographic differences in SARS-CoV-2 prevalence in New York City

Kissler, S. M., Kishore, N., Prabhu, M., Goffman, D., Beilin, Y., Landau, R., Gyamfi-Bannerman, C., Bateman, B. T., Snyder, J., Razavi, A. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18271-5 · Cited by 129

Seeking certainty about intolerance of uncertainty: Addressing old and new issues through the Intolerance of Uncertainty Scale-Revised

Bottesi, G., Noventa, S., Freeston, M. H., & Ghisi, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211929 · Cited by 132

Habitat and Host Indicate Lineage Identity in Colletotrichum gloeosporioides s.l. from Wild and Agricultural Landscapes in North America

Doyle, V. P., Oudemans, P. V., Rehner, S. A., & Litt, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062394 · Cited by 134

The early impact of COVID-19 on mental health and community physical health services and their patients' mortality in Cambridgeshire and Peterborough, UK.

Chen, S., Jones, P. B., Underwood, B. R., Moore, A., Bullmore, E. T., Banerjee, S., Osimo, E. F., Deakin, J. B., Hatfield, C. F., Thompson, F. J., et al. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.09.020 · Cited by 127

Socioeconomic Status, Income Inequality, and Health Complaints: A Basic Psychological Needs Perspective

Di Domenico, S. I., & Fournier, M. A. (2014) · Social Indicators Research · doi:10.1007/s11205-013-0572-8 · Cited by 131

Efficacy of CHK inhibitors as single agents in MYC-driven lymphoma cells

Ferrao, P. T., Bukczynska, E. P., Johnstone, R. W., & McArthur, G. A. (2012) · Oncogene · doi:10.1038/onc.2011.358 · Cited by 133

Efficacy of group psychotherapy for social anxiety disorder: A meta-analysis of randomized-controlled trials

Barkowski, S., Schwartze, D., Strauss, B., Burlingame, G. M., Barth, J., & Rosendahl, J. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.02.005 · Cited by 134

Increasing sample size compensates for data problems in segmentation studies

Dolnicar, S., Grün, B., & Leisch, F. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.09.004 · Cited by 131

Dysmenorrhea and its severity are associated with increased uterine contractility and overexpression of oxytocin receptor (OTR) in women with symptomatic adenomyosis

Guo, S.-W., Mao, X., Ma, Q., & Liu, X. (2013) · Fertility and Sterility · doi:10.1016/j.fertnstert.2012.08.038 · Cited by 131

Cross-depth analysis of marine bacterial networks suggests downward propagation of temporal changes

Cram, J. A., Xia, L. C., Needham, D. M., Sachdeva, R., Sun, F., & Fuhrman, J. A. (2015) · The ISME Journal · doi:10.1038/ismej.2015.76 · Cited by 133

CSAR benchmark exercise 2011–2012: evaluation of results from docking and relative ranking of blinded congeneric series.

Damm-Ganamet, K. L., Smith, R. D., Dunbar, J. B., Stuckey, J. A., & Carlson, H. A. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci400025f · Cited by 133

Peripheral and central kynurenine pathway abnormalities in major depression

Paul, E. R., Schwieler, L., Erhardt, S., Boda, S., Trepci, A., Kämpe, R., Asratian, A., Holm, L., Yngve, A., Dantzer, R., et al. (2022) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2022.01.002 · Cited by 134

Association of air particulate pollution with bone loss over time and bone fracture risk: analysis of data from two independent studies

Prada, D., Zhong, J., Colicino, E., Zanobetti, A., Schwartz, J., Dagincourt, N., Fang, S. C., Kloog, I., Zmuda, J. M., Holick, M., et al. (2017) · The Lancet Planetary Health · doi:10.1016/s2542-5196(17)30136-5 · Cited by 133

Dlk1-Mediated Temporal Regulation of Notch Signaling Is Required for Differentiation of Alveolar Type II to Type I Cells during Repair

Finn, J., Sottoriva, K., Pajcini, K. V., Kitajewski, J. K., Chen, C., Zhang, W., Malik, A. B., & Liu, Y. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.046 · Cited by 133

Anthropogenic stressors and riverine fish extinctions

Dias, M. S., Tedesco, P. A., Hugueny, B., Jézéquel, C., Beauchard, O., Brosse, S., & Oberdorff, T. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.03.053 · Cited by 131

Diel Surface Temperature Range Scales with Lake Size

Woolway, R. I., Jones, I. D., Maberly, S. C., French, J. R., Livingstone, D. M., Monteith, D. T., Simpson, G. L., Thackeray, S. J., Andersen, M. R., Battarbee, R. W., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152466 · Cited by 132

A new class of temporarily phenotypic enhancers identified by CRISPR/Cas9-mediated genetic screening

Diao, Y., Li, B., Meng, Z., Jung, I., Lee, A. Y., Dixon, J., Maliskova, L., Guan, K.-L., Shen, Y., & Ren, B. (2016) · Genome Research · doi:10.1101/gr.197152.115 · Cited by 122

Phenotypic Resistance and the Dynamics of Bacterial Escape from Phage Control

Bull, J. J., Vegge, C. S., Schmerer, M., Chaudhry, W. N., & Levin, B. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094690 · Cited by 123

A meta-analysis of social network site use and social support

Liu, D., Wright, K. B., & Hu, B. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.08.024 · Cited by 127

Identification of a CpG Island Methylator Phenotype in Adrenocortical Carcinomas

Barreau, O., Assié, G., Wilmot-Roussel, H., Ragazzon, B., Baudry, C., Perlemoine, K., René-Corail, F., Bertagna, X., Dousset, B., Hamzaoui, N., et al. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2993 · Cited by 132

Differential attrition in health behaviour change trials: a systematic review and meta-analysis

Crutzen, R., Viechtbauer, W., Spigt, M., & Kotz, D. (2015) · Psychology & Health · doi:10.1080/08870446.2014.953526 · Cited by 132

A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer’s disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity

DESGESCO (Dementia Genetics Spanish Consortium), E. (. D. E. D. B., van der Lee, S. J., biobank), E. (. D. E. D., IFGC (International FTD-Genomics Consortium), I. (. I. P. D. G. C., IPDGC (The International Parkinson Disease Genomics Consortium), Dementia), R.-F. (. A. M. F. I. F.-T., (NBB), N. B. B., The GIFT (Genetic Investigation in Frontotemporal Dementia and Alzheimer’s Disease) Study Group, Conway, O. J., Jansen, I., et al. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-02026-8 · Cited by 120

Mediterranean Diet and Telomere Length: A Systematic Review and Meta-Analysis

Canudas, S., Becerra-Tomás, N., Hernández-Alonso, P., Galié, S., Leung, C., Crous-Bou, M., De Vivo, I., Gao, Y., Gu, Y., Meinilä, J., et al. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa079 · Cited by 132

Agronomic Practices for Reducing Wheat Yield Gaps: A Quantitative Appraisal of Progressive Producers

Lollato, R. P., Ruiz Diaz, D. A., DeWolf, E., Knapp, M., Peterson, D. E., & Fritz, A. K. (2019) · Crop Science · doi:10.2135/cropsci2018.04.0249 · Cited by 131