R: A Language and Environment for Statistical Computing

Wildland fire as a self‐regulating mechanism: the role of previous burns and weather in limiting fire progression

Parks, S. A., Holsinger, L. M., Miller, C., & Nelson, C. R. (2015) · Ecological Applications · doi:10.1890/14-1430.1 · Cited by 239

Thresholds of freshwater biodiversity in response to riparian vegetation loss in the Neotropical region

Dala‐Corte, R. B., Melo, A. S., Siqueira, T., Bini, L. M., Martins, R. T., Cunico, A. M., Pes, A. M., Magalhães, A. L. B., Godoy, B. S., Leal, C. G., et al. (2020) · Journal of Applied Ecology · doi:10.1111/1365-2664.13657 · Cited by 239

Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits

Haplotype Reference Consortium, Evans, L. M., Tahmasbi, R., Vrieze, S. I., Abecasis, G. R., Das, S., Gazal, S., Bjelland, D. W., de Candia, T. R., Goddard, M. E., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0108-x · Cited by 239

A Guide to Conducting a Meta-Analysis

Cheung, M. W.-L., & Vijayakumar, R. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9319-z · Cited by 239

Mindfulness-based interventions in the workplace: An inclusive systematic review and meta-analysis of their impact upon wellbeing

Lomas, T., Medina, J. C., Ivtzan, I., Rupprecht, S., & Eiroa-Orosa, F. J. (2019) · The Journal of Positive Psychology · doi:10.1080/17439760.2018.1519588 · Cited by 236

Land Management Practices Associated with House Loss in Wildfires

Gibbons, P., van Bommel, L., Gill, A. M., Cary, G. J., Driscoll, D. A., Bradstock, R. A., Knight, E., Moritz, M. A., Stephens, S. L., & Lindenmayer, D. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029212 · Cited by 237

Degradation in carbon stocks near tropical forest edges

Chaplin-Kramer, R., Ramler, I., Sharp, R., Haddad, N. M., Gerber, J. S., West, P. C., Mandle, L., Engstrom, P., Baccini, A., Sim, S., et al. (2015) · Nature Communications · doi:10.1038/ncomms10158 · Cited by 238

Community Analysis of Chronic Wound Bacteria Using 16S rRNA Gene-Based Pyrosequencing: Impact of Diabetes and Antibiotics on Chronic Wound Microbiota

Price, L. B., Liu, C. M., Melendez, J. H., Frankel, Y. M., Engelthaler, D., Aziz, M., Bowers, J., Rattray, R., Ravel, J., Kingsley, C., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006462 · Cited by 237

Effect of Omega-3 Dosage on Cardiovascular Outcomes

Bernasconi, A. A., Wiest, M. M., Lavie, C. J., Milani, R. V., & Laukkanen, J. A. (2021) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2020.08.034 · Cited by 237

Analysis of High-Throughput Ancient DNA Sequencing Data

Kircher, M. (2012) · Methods in Molecular Biology · doi:10.1007/978-1-61779-516-9_23 · Cited by 236

How robust is the association between smoking and depression in adults? A meta-analysis using linear mixed-effects models

Luger, T. M., Suls, J., & Vander Weg, M. W. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2014.05.011 · Cited by 231

Common psychiatric and metabolic comorbidity of adult attention-deficit/hyperactivity disorder: A population-based cross-sectional study

Chen, Q., Hartman, C. A., Haavik, J., Harro, J., Klungsøyr, K., Hegvik, T.-A., Wanders, R., Ottosen, C., Dalsgaard, S., Faraone, S. V., et al. (2018) · PLOS ONE · doi:10.1371/journal.pone.0204516 · Cited by 236

Associations between longitudinal serum perfluoroalkyl substance (PFAS) levels and measures of thyroid hormone, kidney function, and body mass index in the Fernald Community Cohort

Blake, B. E., Pinney, S. M., Hines, E. P., Fenton, S. E., & Ferguson, K. K. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2018.07.042 · Cited by 236

Is the Incidence of Congenital Hypothyroidism Really Increasing? A 20-Year Retrospective Population-Based Study in Québec

Deladoëy, J., Ruel, J., Giguère, Y., & Van Vliet, G. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-1073 · Cited by 235

Academic Achievement Trajectories of Homeless and Highly Mobile Students: Resilience in the Context of Chronic and Acute Risk

Cutuli, J. J., Desjardins, C. D., Herbers, J. E., Long, J. D., Heistad, D., Chan, C.-K., Hinz, E., & Masten, A. S. (2013) · Child Development · doi:10.1111/cdev.12013 · Cited by 235

eIF2B activator prevents neurological defects caused by a chronic integrated stress response

Wong, Y. L., LeBon, L., Basso, A. M., Kohlhaas, K. L., Nikkel, A. L., Robb, H. M., Donnelly-Roberts, D. L., Prakash, J., Swensen, A. M., Rubinstein, N. D., et al. (2019) · eLife · doi:10.7554/elife.42940 · Cited by 236

Synbiotics Alter Fecal Microbiomes, But Not Liver Fat or Fibrosis, in a Randomized Trial of Patients With Nonalcoholic Fatty Liver Disease

Scorletti, E., Afolabi, P. R., Miles, E. A., Smith, D. E., Almehmadi, A., Alshathry, A., Childs, C. E., Del Fabbro, S., Bilson, J., Moyses, H. E., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.01.031 · Cited by 237

Biotic and Abiotic Properties Mediating Plant Diversity Effects on Soil Microbial Communities in an Experimental Grassland

Lange, M., Habekost, M., Eisenhauer, N., Roscher, C., Bessler, H., Engels, C., Oelmann, Y., Scheu, S., Wilcke, W., Schulze, E.-D., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096182 · Cited by 233

Moderation of Adult Depression by a Polymorphism in the FKBP5 Gene and Childhood Physical Abuse in the General Population

Appel, K., Schwahn, C., Mahler, J., Schulz, A., Spitzer, C., Fenske, K., Stender, J., Barnow, S., John, U., Teumer, A., et al. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.81 · Cited by 234

Association of the Intestinal Microbiome with the Development of Neovascular Age-Related Macular Degeneration

Zinkernagel, M. S., Zysset-Burri, D. C., Keller, I., Berger, L. E., Leichtle, A. B., Largiadèr, C. R., Fiedler, G. M., & Wolf, S. (2017) · Scientific Reports · doi:10.1038/srep40826 · Cited by 229

APOE genotype influences the gut microbiome structure and function in humans and mice: relevance for Alzheimer's disease pathophysiology

Tran, T. T. T., Corsini, S., Kellingray, L., Hegarty, C., Le Gall, G., Narbad, A., Müller, M., Tejera, N., O'Toole, P. W., Minihane, A.-M., et al. (2019) · The FASEB Journal · doi:10.1096/fj.201900071r · Cited by 233

A rapid review and meta-regression analyses of the toxicological impacts of microplastic exposure in human cells

Danopoulos, E., Twiddy, M., West, R., & Rotchell, J. M. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.127861 · Cited by 230

Use of Crop Growth Models with Whole‐Genome Prediction: Application to a Maize Multienvironment Trial

Cooper, M., Technow, F., Messina, C., Gho, C., & Totir, L. R. (2016) · Crop Science · doi:10.2135/cropsci2015.08.0512 · Cited by 214

Intestinal Microbiota in Healthy U.S. Young Children and Adults—A High Throughput Microarray Analysis

Ringel-Kulka, T., Cheng, J., Ringel, Y., Salojärvi, J., Carroll, I., Palva, A., de Vos, W. M., & Satokari, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064315 · Cited by 230

Protected areas offer refuge from invasive species spreading under climate change

Gallardo, B., Aldridge, D. C., González‐Moreno, P., Pergl, J., Pizarro, M., Pyšek, P., Thuiller, W., Yesson, C., & Vilà, M. (2017) · Global Change Biology · doi:10.1111/gcb.13798 · Cited by 230

The NSIGHT1-randomized controlled trial: rapid whole-genome sequencing for accelerated etiologic diagnosis in critically ill infants.

Petrikin, J. E., Cakici, J. A., Clark, M. M., Willig, L. K., Sweeney, N. M., Farrow, E. G., Saunders, C. J., Thiffault, I., Miller, N. A., Zellmer, L., et al. (2018) · npj Genomic Medicine · doi:10.1038/s41525-018-0045-8 · Cited by 229

Risk of Obsessive-Compulsive Disorder in Pregnant and Postpartum Women: A Meta-Analysis

Russell, E. J., Fawcett, J. M., & Mazmanian, D. (2013) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.12r07917 · Cited by 229

Critical evaluation of biodegradation studies on synthetic plastics through a systematic literature review

Matjašič, T., Simčič, T., Medvešček, N., Bajt, O., Dreo, T., & Mori, N. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.141959 · Cited by 229

Early developmental changes in the timing of turn-taking: a longitudinal study of mother–infant interaction

Hilbrink, E. E., Gattis, M., & Levinson, S. C. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01492 · Cited by 229

Age and sex variation in serum albumin concentration: an observational study.

Weaving, G., Batstone, G. F., & Jones, R. G. (2016) · Annals of Clinical Biochemistry: International Journal of Laboratory Medicine · doi:10.1177/0004563215593561 · Cited by 229

Multiplexed In Situ Imaging Mass Cytometry Analysis of the Human Endocrine Pancreas and Immune System in Type 1 Diabetes

Wang, Y. J., Traum, D., Schug, J., Gao, L., Liu, C., Atkinson, M. A., Powers, A. C., Feldman, M. D., Naji, A., Chang, K.-M., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.01.003 · Cited by 228

Statins for primary prevention of cardiovascular events and mortality in old and very old adults with and without type 2 diabetes: retrospective cohort study

Ramos, R., Comas-Cufí, M., Martí-Lluch, R., Balló, E., Ponjoan, A., Alves-Cabratosa, L., Blanch, J., Marrugat, J., Elosua, R., Grau, M., et al. (2018) · BMJ · doi:10.1136/bmj.k3359 · Cited by 215

A genome-wide meta-analysis of genetic variants associated with allergic rhinitis and grass sensitization and their interaction with birth order

Ramasamy, A., Curjuric, I., Coin, L. J., Kumar, A., McArdle, W. L., Imboden, M., Leynaert, B., Kogevinas, M., Schmid-Grendelmeier, P., Pekkanen, J., et al. (2011) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2011.08.030 · Cited by 222

The Index of Pupillary Activity: Measuring Cognitive Load vis-à-vis Task Difficulty with Pupil Oscillation

Duchowski, A. T., Krejtz, K., Krejtz, I., Biele, C., Niedzielska, A., Kiefer, P., Raubal, M., & Giannopoulos, I. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173856 · Cited by 228

Gesturing Saves Cognitive Resources When Talking About Nonpresent Objects

Ping, R., & Goldin‐Meadow, S. (2010) · Cognitive Science · doi:10.1111/j.1551-6709.2010.01102.x · Cited by 230

Dietary Sugars Alter Hepatic Fatty Acid Oxidation via Transcriptional and Post-translational Modifications of Mitochondrial Proteins

Softic, S., Meyer, J. G., Wang, G.-X., Gupta, M. K., Batista, T. M., Lauritzen, H. P. M. M., Fujisaka, S., Serra, D., Herrero, L., Willoughby, J., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.09.003 · Cited by 227

Enrichment of oral microbiota in early cystic precursors to invasive pancreatic cancer

Gaiser, R. A., Halimi, A., Alkharaan, H., Lu, L., Davanian, H., Healy, K., Hugerth, L. W., Ateeb, Z., Valente, R., Fernández Moro, C., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-317458 · Cited by 227

The ‘Flow’ of compassion: A meta-analysis of the fears of compassion scales and psychological functioning

Kirby, J. N., Day, J., & Sagar, V. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.03.001 · Cited by 232

The structure of cognition in 9 and 10 year-old children and associations with problem behaviors: Findings from the ABCD study’s baseline neurocognitive battery

Thompson, W. K., Barch, D. M., Bjork, J. M., Gonzalez, R., Nagel, B. J., Nixon, S. J., & Luciana, M. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.004 · Cited by 227

Posttraumatic stress disorder is associated with an enhanced spontaneous production of pro-inflammatory cytokines by peripheral blood mononuclear cells

Gola, H., Engler, H., Sommershof, A., Adenauer, H., Kolassa, S., Schedlowski, M., Groettrup, M., Elbert, T., & Kolassa, I.-T. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-40 · Cited by 225

Lineage-Determining Transcription Factor TCF-1 Initiates the Epigenetic Identity of T Cells

Johnson, J. L., Georgakilas, G., Petrovic, J., Kurachi, M., Cai, S., Harly, C., Pear, W. S., Bhandoola, A., Wherry, E. J., & Vahedi, G. (2018) · Immunity · doi:10.1016/j.immuni.2018.01.012 · Cited by 226

Population genomics of the critically endangered kākāpō

Dussex, N., van der Valk, T., Morales, H. E., Wheat, C. W., Díez-del-Molino, D., von Seth, J., Foster, Y., Kutschera, V. E., Guschanski, K., Rhie, A., et al. (2021) · Cell Genomics · doi:10.1016/j.xgen.2021.100002 · Cited by 226

Loneliness and Social Isolation During the COVID-19 Pandemic: A Systematic Review Enriched With Empirical Evidence From a Large-Scale Diary Study

Buecker, S., & Horstmann, K. T. (2021) · European Psychologist · doi:10.1027/1016-9040/a000453 · Cited by 225

Systematic Review of Mucosal Immunity Induced by Oral and Inactivated Poliovirus Vaccines against Virus Shedding following Oral Poliovirus Challenge

Hird, T. R., & Grassly, N. C. (2012) · PLoS Pathogens · doi:10.1371/journal.ppat.1002599 · Cited by 221

Comparing microbial water quality in an intermittent and continuous piped water supply

Kumpel, E., & Nelson, K. L. (2013) · Water Research · doi:10.1016/j.watres.2013.05.058 · Cited by 226

Dysbiosis anticipating necrotizing enterocolitis in very premature infants

Sim, K., Shaw, A. G., Randell, P., Cox, M. J., McClure, Z. E., Li, M.-S., Haddad, M., Langford, P. R., Cookson, W. O. C. M., Moffatt, M. F., et al. (2015) · Clinical Infectious Diseases · doi:10.1093/cid/ciu822 · Cited by 224

Fire drives functional thresholds on the savanna–forest transition

de L. Dantas, V., Batalha, M. A., & Pausas, J. G. (2013) · Ecology · doi:10.1890/12-1629.1 · Cited by 222

Housing Arrangement and Location Determine the Likelihood of Housing Loss Due to Wildfire

Syphard, A. D., Keeley, J. E., Massada, A. B., Brennan, T. J., & Radeloff, V. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033954 · Cited by 220

Sex differences in personality are larger in gender equal countries: Replicating and extending a surprising finding

Mac Giolla, E., & Kajonius, P. J. (2019) · International Journal of Psychology · doi:10.1002/ijop.12529 · Cited by 217

Intermittent fasting in Type 2 diabetes mellitus and the risk of hypoglycaemia: a randomized controlled trial

Corley, B. T., Carroll, R. W., Hall, R. M., Weatherall, M., Parry‐Strong, A., & Krebs, J. D. (2018) · Diabetic Medicine · doi:10.1111/dme.13595 · Cited by 217

How to conduct a meta-analysis in eight steps: A practical guide

Hansen, C., Steinmetz, H., & Block, J. (2022) · Management Review Quarterly · doi:10.1007/s11301-021-00247-4 · Cited by 218

PU.1 target genes undergo Tet2-coupled demethylation and DNMT3b-mediated methylation in monocyte-to-osteoclast differentiation

de la Rica, L., Rodríguez-Ubreva, J., García, M., Islam, A. B., Urquiza, J. M., Hernando, H., Christensen, J., Helin, K., Gómez-Vaquero, C., & Ballestar, E. (2013) · Genome Biology · doi:10.1186/gb-2013-14-9-r99 · Cited by 211

Reduced fractional anisotropy in the visual limbic pathway of young adults witnessing domestic violence in childhood

Choi, J., Jeong, B., Polcari, A., Rohan, M. L., & Teicher, M. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.033 · Cited by 215

Virtual memory T cells develop and mediate bystander protective immunity in an IL-15-dependent manner

White, J. T., Cross, E. W., Burchill, M. A., Danhorn, T., McCarter, M. D., Rosen, H. R., O’Connor, B., & Kedl, R. M. (2016) · Nature Communications · doi:10.1038/ncomms11291 · Cited by 219

A Review of Current Ambulatory Assessment Studies in Adolescent Samples and Practical Recommendations

van Roekel, E., Keijsers, L., & Chung, J. M. (2019) · Journal of Research on Adolescence · doi:10.1111/jora.12471 · Cited by 191

Behavioural treatment strategies improve adherence to lifestyle intervention programmes in adults with obesity: A systematic review and meta-analysis

Burgess, E., Hassmén, P., Welvaert, M., & Pumpa, K. L. (2017) · Clinical Obesity · doi:10.1111/cob.12180 · Cited by 214

New World Cattle Show Ancestry from Multiple Independent Domestication Events

McTavish, E. J., Decker, J. E., Schnabel, R. D., Taylor, J. F., & Hillis, D. M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303367110 · Cited by 218

Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study

Li, X., Ostropolets, A., Makadia, R., Shoaibi, A., Rao, G., Sena, A. G., Martinez-Hernandez, E., Delmestri, A., Verhamme, K., Rijnbeek, P. R., et al. (2021) · BMJ · doi:10.1136/bmj.n1435 · Cited by 219

Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p -Uniform and p -Curve

van Aert, R. C. M., Wicherts, J. M., & van Assen, M. A. L. M. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616650874 · Cited by 219

Microbial colonization and degradation of polyethylene and biodegradable plastic bags in temperate fine-grained organic-rich marine sediments

Nauendorf, A., Krause, S., Bigalke, N. K., Gorb, E. V., Gorb, S. N., Haeckel, M., Wahl, M., & Treude, T. (2016) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2015.12.024 · Cited by 217

Heritable Bovine Rumen Bacteria Are Phylogenetically Related and Correlated with the Cow’s Capacity To Harvest Energy from Its Feed

Sasson, G., Kruger Ben-Shabat, S., Seroussi, E., Doron-Faigenboim, A., Shterzer, N., Yaacoby, S., Berg Miller, M. E., White, B. A., Halperin, E., & Mizrahi, I. (2017) · mBio · doi:10.1128/mbio.00703-17 · Cited by 219

Cognitive functional therapy compared with a group-based exercise and education intervention for chronic low back pain: a multicentre randomised controlled trial (RCT)

O'Keeffe, M., O'Sullivan, P., Purtill, H., Bargary, N., & O'Sullivan, K. (2020) · British Journal of Sports Medicine · doi:10.1136/bjsports-2019-100780 · Cited by 217

Insights into the Ecology and Evolutionary Success of Crocodilians Revealed through Bite-Force and Tooth-Pressure Experimentation

Erickson, G. M., Gignac, P. M., Steppan, S. J., Lappin, A. K., Vliet, K. A., Brueggen, J. D., Inouye, B. D., Kledzik, D., & Webb, G. J. W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031781 · Cited by 218

Social media, body image, and the question of causation: Meta-analyses of experimental and longitudinal evidence

de Valle, M. K., Gallego-García, M., Williamson, P., & Wade, T. D. (2021) · Body Image · doi:10.1016/j.bodyim.2021.10.001 · Cited by 221

Subtle in-scanner motion biases automated measurement of brain anatomy from in vivo MRI: Motion Bias in Analyses of Structural MRI

Alexander-Bloch, A., Clasen, L., Stockman, M., Ronan, L., Lalonde, F., Giedd, J., & Raznahan, A. (2016) · Human Brain Mapping · doi:10.1002/hbm.23180 · Cited by 178

Comparative analysis of encephalization in mammals reveals relaxed constraints on anthropoid primate and cetacean brain scaling

BODDY, A. M., McGOWEN, M. R., SHERWOOD, C. C., GROSSMAN, L. I., GOODMAN, M., & WILDMAN, D. E. (2012) · Journal of Evolutionary Biology · doi:10.1111/j.1420-9101.2012.02491.x · Cited by 207

Synergy between the KEAP1/NRF2 and PI3K Pathways Drives Non-Small-Cell Lung Cancer with an Altered Immune Microenvironment

Best, S. A., De Souza, D. P., Kersbergen, A., Policheni, A. N., Dayalan, S., Tull, D., Rathi, V., Gray, D. H., Ritchie, M. E., McConville, M. J., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.02.006 · Cited by 217

Acceptance towards digital health interventions—Model validation and further development of the Unified Theory of Acceptance and Use of Technology

Philippi, P., Baumeister, H., Apolinário-Hagen, J., Ebert, D. D., Hennemann, S., Kott, L., Lin, J., Messner, E.-M., & Terhorst, Y. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100459 · Cited by 200

The Relationship Between TSH and Free T4 in a Large Population Is Complex and Nonlinear and Differs by Age and Sex

Hadlow, N. C., Rothacker, K. M., Wardrop, R., Brown, S. J., Lim, E. M., & Walsh, J. P. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-4223 · Cited by 203

Effectiveness of Lifestyle Interventions on Obstructive Sleep Apnea (OSA): Systematic Review and Meta-Analysis

Araghi, M. H., Chen, Y.-F., Jagielski, A., Choudhury, S., Banerjee, D., Hussain, S., Thomas, G. N., & Taheri, S. (2013) · Sleep · doi:10.5665/sleep.3056 · Cited by 214

Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults

Kohli, M., Schiller, I., Dendukuri, N., Yao, M., Dheda, K., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012768.pub3 · Cited by 215

Bat detective—Deep learning tools for bat acoustic signal detection

Mac Aodha, O., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., Harder, B., Kinsey, L., Mead, G. R., Newson, S. E., et al. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005995 · Cited by 216

MUON: multimodal omics analysis framework

Bredikhin, D., Kats, I., & Stegle, O. (2022) · Genome Biology · doi:10.1186/s13059-021-02577-8 · Cited by 216

Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data

Kochunov, P., Jahanshad, N., Marcus, D., Winkler, A., Sprooten, E., Nichols, T. E., Wright, S. N., Hong, L. E., Patel, B., Behrens, T., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.050 · Cited by 215

Linking parent–child and peer relationship quality to empathy in adolescence: A multilevel meta–analysis

Boele, S., Van der Graaff, J., de Wied, M., Van der Valk, I. E., Crocetti, E., & Branje, S. (2019) · Journal of Youth and Adolescence · doi:10.1007/s10964-019-00993-5 · Cited by 216

Spread of aggregates after olfactory bulb injection of α-synuclein fibrils is associated with early neuronal loss and is reduced long term

Rey, N. L., George, S., Steiner, J. A., Madaj, Z., Luk, K. C., Trojanowski, J. Q., Lee, V. M.-Y., & Brundin, P. (2018) · Acta Neuropathologica · doi:10.1007/s00401-017-1792-9 · Cited by 215

An interactive framework for whole-brain maps at cellular resolution

Fürth, D., Vaissière, T., Tzortzi, O., Xuan, Y., Märtin, A., Lazaridis, I., Spigolon, G., Fisone, G., Tomer, R., Deisseroth, K., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0027-7 · Cited by 215

Cognitive remediation for negative symptoms of schizophrenia: A network meta-analysis

Cella, M., Preti, A., Edwards, C., Dow, T., & Wykes, T. (2017) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.11.009 · Cited by 215

Academic achievement of students without special educational needs in inclusive classrooms: A meta-analysis

Szumski, G., Smogorzewska, J., & Karwowski, M. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.02.004 · Cited by 214

REVIEW: Do Polycultures Promote Win-Wins or Trade-Offs in Agricultural Ecosystem Services? A Meta-Analysis

Iverson, A. L., Marín, L. E., Ennis, K. K., Gonthier, D. J., Connor‐Barrie, B. T., Remfert, J. L., Cardinale, B. J., & Perfecto, I. (2014) · Journal of Applied Ecology · doi:10.1111/1365-2664.12334 · Cited by 214

T‐MoCA: A valid phone screen for cognitive impairment in diverse community samples

Katz, M. J., Wang, C., Nester, C. O., Derby, C. A., Zimmerman, M. E., Lipton, R. B., Sliwinski, M. J., & Rabin, L. A. (2021) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12144 · Cited by 214

The role of defensible space for residential structure protection during wildfires

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Routes to improving the reliability of low level DNA analysis using real-time PCR

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