Standout Papers

GCTA: A Tool for Genome-wide Complex Trait Analysis 2010 2026 2015 2020 4.4k
  1. GCTA: A Tool for Genome-wide Complex Trait Analysis (2010)
    Jian Yang, Sang Lee et al. The American Journal of Human Genetics
  2. Common SNPs explain a large proportion of the heritability for human height (2010)
    Jian Yang, Beben Benyamin et al. Nature Genetics
  3. 10 Years of GWAS Discovery: Biology, Function, and Translation (2017)
    Peter M. Visscher, Naomi R. Wray et al. The American Journal of Human Genetics
  4. Five Years of GWAS Discovery (2012)
    Peter M. Visscher, Matthew A. Brown et al. The American Journal of Human Genetics
  5. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (2016)
    Zhihong Zhu, Futao Zhang et al. Nature Genetics
  6. Meta-analysis of the heritability of human traits based on fifty years of twin studies (2015)
    Tinca J. C. Polderman, Beben Benyamin et al. Nature Genetics
  7. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry (2018)
    Loïc Yengo, Julia Sidorenko et al. Human Molecular Genetics
  8. Heritability in the genomics era — concepts and misconceptions (2008)
    Peter M. Visscher, William G. Hill et al. Nature Reviews Genetics
  9. Calculating statistical power in Mendelian randomization studies (2012)
    Marie‐Jo Brion, Konstantin Shakhbazov et al. International Journal of Epidemiology
  10. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits (2012)
    Jian Yang, Teresa Ferreira et al. Nature Genetics
  11. Data and Theory Point to Mainly Additive Genetic Variance for Complex Traits (2008)
    William G. Hill, Michael E. Goddard et al. PLoS Genetics
  12. Estimating Missing Heritability for Disease from Genome-wide Association Studies (2011)
    Sang Lee, Naomi R. Wray et al. The American Journal of Human Genetics
  13. Advantages and pitfalls in the application of mixed-model association methods (2014)
    Jian Yang, Noah Zaitlen et al. Nature Genetics
  14. A Versatile Gene-Based Test for Genome-wide Association Studies (2010)
    Jimmy Z. Liu, Allan F. McRae et al. The American Journal of Human Genetics
  15. Causal associations between risk factors and common diseases inferred from GWAS summary data (2018)
    Zhihong Zhu, Zhili Zheng et al. Nature Communications
  16. Multi-trait analysis of genome-wide association summary statistics using MTAG (2017)
    Patrick Turley, Raymond K. Walters et al. Nature Genetics
  17. Increased accuracy of artificial selection by using the realized relationship matrix (2009)
    Ben J. Hayes, Peter M. Visscher et al. Genetics Research
  18. Pitfalls of predicting complex traits from SNPs (2013)
    Naomi R. Wray, Jian Yang et al. Nature Reviews Genetics
  19. The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936 (2015)
    Riccardo E. Marioni, Sonia Shah et al. International Journal of Epidemiology
  20. Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs (2012)
    Sang Lee, Stephan Ripke et al. Nature Genetics
  21. GWAS on family history of Alzheimer’s disease (2018)
    Riccardo E. Marioni, Sarah E. Harris et al. Translational Psychiatry
  22. A resource-efficient tool for mixed model association analysis of large-scale data (2019)
    Longda Jiang, Zhili Zheng et al. Nature Genetics
  23. Improved polygenic prediction by Bayesian multiple regression on summary statistics (2019)
    Luke R. Lloyd‐Jones, Jian Zeng et al. Nature Communications
  24. 15 years of GWAS discovery: Realizing the promise (2023)
    Abdel Abdellaoui, Loïc Yengo et al. The American Journal of Human Genetics

Immediate Impact

12 by Nobel laureates 29 from Science/Nature 134 standout
Sub-graph 1 of 22

Citing Papers

Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies
2025 Standout
A comprehensive spatio-cellular map of the human hypothalamus
2025 StandoutNature
4 intermediate papers

Works of Peter M. Visscher being referenced

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry
2018 Standout
GCTA: A Tool for Genome-wide Complex Trait Analysis
2010 Standout
and 14 more

Author Peers

Author Last Decade Papers Cites
Peter M. Visscher 29733 12147 4734 437 45.4k
Pak C. Sham 23739 16074 3080 688 60.3k
Benjamin M. Neale 23852 11987 2584 161 40.4k
Shaun Purcell 21712 11413 3165 135 38.0k
Jian Yang 18053 8374 2664 201 27.4k
Neil Risch 18455 10197 1220 315 39.0k
Nicholas J. Schork 10717 10675 1678 456 31.5k
Naomi R. Wray 12576 7250 1251 404 30.0k
Håkon Håkonarson 11301 12094 1355 573 33.6k
Jonathan Flint 9952 7621 2646 295 26.5k
Peter Donnelly 34463 17192 10976 202 59.7k

All Works

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2026