Standout Papers

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger... 2015 2026 2018 2022 5.2k
  1. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (2015)
    Jack Bowden, George Davey Smith et al. International Journal of Epidemiology
  2. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator (2016)
    Jack Bowden, George Davey Smith et al. Genetic Epidemiology
  3. The MR-Base platform supports systematic causal inference across the human phenome (2018)
    Gibran Hemani, Jie Zheng et al. eLife
  4. Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption (2017)
    Fernando Pires Hartwig, George Davey Smith et al. International Journal of Epidemiology
  5. Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants (2016)
    Stephen Burgess, Jack Bowden et al. Epidemiology
  6. A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization (2017)
    Jack Bowden, Fabiola Del Greco M et al. Statistics in Medicine
  7. Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic (2016)
    Jack Bowden, Fabiola Del Greco M et al. International Journal of Epidemiology
  8. Methods to estimate the between‐study variance and its uncertainty in meta‐analysis (2015)
    Areti Angeliki Veroniki, Dan Jackson et al. Research Synthesis Methods
  9. Evaluating the potential role of pleiotropy in Mendelian randomization studies (2018)
    Gibran Hemani, Jack Bowden et al. Human Molecular Genetics
  10. Meta‐analysis andMendelianrandomization: A review (2019)
    Jack Bowden, Michael V. Holmes Research Synthesis Methods
  11. Recent Developments in Mendelian Randomization Studies (2017)
    Jie Zheng, Denis Baird et al. Current Epidemiology Reports
  12. An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings (2018)
    Eleanor Sanderson, George Davey Smith et al. International Journal of Epidemiology
  13. A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses (2018)
    Dean Langan, Julian P. T. Higgins et al. Research Synthesis Methods
  14. Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression (2018)
    Jack Bowden, Wes Spiller et al. International Journal of Epidemiology
  15. Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption (2018)
    Jack Bowden, Fabiola Del Greco M et al. International Journal of Epidemiology
  16. Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Qstatistics (2011)
    Jack Bowden, Jayne F. Tierney et al. BMC Medical Research Methodology
  17. Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2020)
    Qingyuan Zhao, Jingshu Wang et al. The Annals of Statistics
  18. Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies (2016)
    Philip Haycock, Stephen Burgess et al. American Journal of Clinical Nutrition
  19. Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization (2021)
    Eleanor Sanderson, Wes Spiller et al. Statistics in Medicine
  20. The use of two-sample methods for Mendelian randomization analyses on single large datasets (2021)
    Cosetta Minelli, Fabiola Del Greco M et al. International Journal of Epidemiology

Immediate Impact

1 by Nobel laureates 18 from Science/Nature 73 standout
Sub-graph 1 of 19

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Works of Jack Bowden being referenced

The MR-Base platform supports systematic causal inference across the human phenome
2018 Standout
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
2017 Standout
and 4 more

Author Peers

Author Last Decade Papers Cites
Jack Bowden 13683 1227 466 6201 4318 119 28.9k
Nicholas J. Timpson 8985 473 208 4897 2961 245 21.4k
Stephen Burgess 21352 1097 567 10415 6938 327 44.7k
Naomi E. Allen 5503 284 432 3587 2403 133 21.6k
John Danesh 4502 252 640 4004 6401 130 31.2k
Valerie Beral 6686 209 532 3204 5335 340 32.3k
Gibran Hemani 8017 306 201 4484 2035 106 15.5k
Teri A. Manolio 5970 238 818 5579 5046 214 36.8k
Carl D. Langefeld 3963 67 76 4231 2575 418 17.1k
Mark I. McCarthy 12987 216 421 12742 2992 509 35.2k
Dennis M. Black 4266 216 700 9498 3104 317 42.3k

All Works

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2026