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. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies (2015)
    Brendan Bulik‐Sullivan, Po‐Ru Loh et al. Nature Genetics
  4. 10 Years of GWAS Discovery: Biology, Function, and Translation (2017)
    Peter M. Visscher, Naomi R. Wray et al. The American Journal of Human Genetics
  5. Five Years of GWAS Discovery (2012)
    Peter M. Visscher, Matthew A. Brown et al. The American Journal of Human Genetics
  6. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (2016)
    Zhihong Zhu, Futao Zhang 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. 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
  9. Advantages and pitfalls in the application of mixed-model association methods (2014)
    Jian Yang, Noah Zaitlen et al. Nature Genetics
  10. Causal associations between risk factors and common diseases inferred from GWAS summary data (2018)
    Zhihong Zhu, Zhili Zheng et al. Nature Communications
  11. Pitfalls of predicting complex traits from SNPs (2013)
    Naomi R. Wray, Jian Yang et al. Nature Reviews Genetics
  12. Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs (2012)
    Sang Lee, Stephan Ripke et al. Nature Genetics
  13. GWAS on family history of Alzheimer’s disease (2018)
    Riccardo E. Marioni, Sarah E. Harris et al. Translational Psychiatry
  14. A generalized linear mixed model association tool for biobank-scale data (2021)
    Longda Jiang, Zhili Zheng et al. Nature Genetics
  15. A resource-efficient tool for mixed model association analysis of large-scale data (2019)
    Longda Jiang, Zhili Zheng et al. Nature Genetics
  16. Improved polygenic prediction by Bayesian multiple regression on summary statistics (2019)
    Luke R. Lloyd‐Jones, Jian Zeng et al. Nature Communications

Immediate Impact

9 by Nobel laureates 22 from Science/Nature 169 standout
Sub-graph 1 of 16

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
28 intermediate papers

Works of Jian Yang 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 25 more

Author Peers

Author Last Decade Papers Cites
Jian Yang 18053 8374 2664 201 27.4k
Alkes L. Price 16287 8650 2546 106 25.2k
Shaun Purcell 21712 11413 3165 135 38.0k
David Reich 21959 9475 3106 176 33.1k
Benjamin M. Neale 23852 11987 2584 161 40.4k
Manuel A. R. Ferreira 14333 7520 2403 84 26.1k
Neil Risch 18455 10197 1220 315 39.0k
Naomi R. Wray 12576 7250 1251 404 30.0k
Nicholas J. Schork 10717 10675 1678 456 31.5k
Paul I. W. de Bakker 16212 12277 2756 88 33.4k
Jonathan Flint 9952 7621 2646 295 26.5k

All Works

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2026