| A general and simple method for obtaining R2 from generalized linear mixed‐effects models S Nakagawa, H Schielzeth Methods in ecology and evolution 4 (2), 133-142, 2013 | 11921* | 2013 |
| Effect size, confidence interval and statistical significance: a practical guide for biologists S Nakagawa, IC Cuthill Biological reviews 82 (4), 591-605, 2007 | 4345 | 2007 |
| Redefine statistical significance DJ Benjamin, JO Berger, M Johannesson, BA Nosek, EJ Wagenmakers, ... Nature human behaviour 2 (1), 6-10, 2018 | 3392 | 2018 |
| The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded S Nakagawa, PCD Johnson, H Schielzeth Journal of The Royal Society Interface 14 (134), 20170213, 2017 | 3075 | 2017 |
| Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists S Nakagawa, H Schielzeth Biological Reviews 85 (4), 935-956, 2010 | 2849 | 2010 |
| A farewell to Bonferroni: the problems of low statistical power and publication bias S Nakagawa Behavioral ecology 15 (6), 1044-1045, 2004 | 2721 | 2004 |
| Multimodel inference in ecology and evolution: challenges and solutions CE Grueber, S Nakagawa, RJ Laws, IG Jamieson Journal of evolutionary biology 24 (4), 699-711, 2011 | 2582 | 2011 |
| rptR: Repeatability estimation and variance decomposition by generalized linear mixed‐effects models MA Stoffel, S Nakagawa, H Schielzeth Methods in Ecology and Evolution 8 (11), 1639-1644, 2017 | 1948* | 2017 |
| Meta-analysis and the science of research synthesis J Gurevitch, J Koricheva, S Nakagawa, G Stewart Nature 555 (7695), 175-182, 2018 | 1868 | 2018 |
| Robustness of linear mixed‐effects models to violations of distributional assumptions H Schielzeth, NJ Dingemanse, S Nakagawa, DF Westneat, H Allegue, ... Methods in ecology and evolution 11 (9), 1141-1152, 2020 | 1524 | 2020 |
| Methodological issues and advances in biological meta-analysis S Nakagawa, ESA Santos Evolutionary Ecology 26 (5), 1253-1274, 2012 | 1016 | 2012 |
| General quantitative genetic methods for comparative biology: phylogenies, taxonomies and multi‐trait models for continuous and categorical characters JD Hadfield, S Nakagawa Journal of evolutionary biology 23 (3), 494-508, 2010 | 915 | 2010 |
| The biodiversity and ecosystem service contributions and trade-offs of forest restoration approaches F Hua, LA Bruijnzeel, P Meli, PA Martin, J Zhang, S Nakagawa, X Miao, ... Science 376 (6595), 839-844, 2022 | 687 | 2022 |
| Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension RE O'Dea, M Lagisz, MD Jennions, J Koricheva, DWA Noble, TH Parker, ... Biological Reviews 96 (5), 1695-1722, 2021 | 645 | 2021 |
| Meta-evaluation of meta-analysis: ten appraisal questions for biologists S Nakagawa, DWA Noble, AM Senior, M Lagisz BMC biology 15 (1), 18, 2017 | 557 | 2017 |
| A quantitative review of heterozygosity–fitness correlations in animal populations JR Chapman, S Nakagawa, DW Coltman, J Slate, BC Sheldon Molecular ecology 18 (13), 2746-2765, 2009 | 557 | 2009 |
| The effects of sex hormones on immune function: a meta‐analysis YZ Foo, S Nakagawa, G Rhodes, LW Simmons Biological Reviews 92 (1), 551-571, 2017 | 476 | 2017 |
| Consistent age-dependent declines in human semen quality: a systematic review and meta-analysis SL Johnson, J Dunleavy, NJ Gemmell, S Nakagawa Ageing research reviews 19, 22-33, 2015 | 472 | 2015 |
| Missing inaction: the dangers of ignoring missing data S Nakagawa, RP Freckleton Trends in ecology & evolution 23 (11), 592-596, 2008 | 467 | 2008 |
| Increased tolerance to humans among disturbed wildlife DSM Samia, S Nakagawa, F Nomura, TF Rangel, DT Blumstein Nature communications 6 (1), 8877, 2015 | 437 | 2015 |
Malgorzata LagiszUniversity of New South Wales, Sydney, AustraliaVerified email at unsw.edu.au
