Jack Bowden

61.9k citations
122 papers · 32.3k · 20 hit papers · h-index 41

Impact in

  • Genetics top 0.02%
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic Associations and Epidemiology 43
    • Genetic and phenotypic traits in livestock 12
    • Statistical Methods in Clinical Trials 26
    • Advanced Causal Inference Techniques 22
    • Statistical Methods and Bayesian Inference 17
    • Statistical Methods and Inference 8

Jack Bowden

118 papers receiving 32.2k citations

Jack Bowden's Hit Papers

The use of two-sample methods for Mendelian randomization analyses on single large datasets 2021 · 211 citations
2110+3+6Years since publication10002.0k3.0k4.0k

Peers

Jack Bowden
Comparison fields: 5 of 196
  • Genetics 8.9k
  • Biological Psychiatry 348
  • Statistics and Probability 1.1k
  • Rheumatology 1.7k
  • Gastroenterology 466
Replace Nicholas J. Timpson with:
Nicholas J. Timpson United Kingdom
Stephen Burgess United Kingdom
Gibran Hemani United Kingdom
John Danesh United Kingdom
Naomi E. Allen United Kingdom
Robert C. Elston United States
L. Adrienne Cupples United States
Mark I. McCarthy United Kingdom
Lisa M. Lix Canada
Neil M Davies United Kingdom
Jack Bowden relative to Nicholas J. Timpson United Kingdom Nicholas J. Timpson's profile →
Citations per field
00.5×2.8×
Nicholas J. Timpson · 1×
Citations per year

Countries citing papers authored by Jack Bowden

Since Specialization
Citations

This map shows the geographic impact of Jack Bowden's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jack Bowden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Bowden more than expected).

Fields of papers citing papers by Jack Bowden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Bowden. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jack Bowden. The network helps show where Jack Bowden may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack Bowden, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jack Bowden Line = papers co-authored together Jack Bowden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
Hit paper breakdown →
20155891
2
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
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20165433
3
The MR-Base platform supports systematic causal inference across the human phenome
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20184598
4
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
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20172000
5
Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants
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20161244
6
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
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20171171
7
Methods to estimate the between‐study variance and its uncertainty in meta‐analysis
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20151100
8
Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic
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20161075
9
Meta‐analysis andMendelianrandomization: A review
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2019948
10
Evaluating the potential role of pleiotropy in Mendelian randomization studies
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2018908
11
Recent Developments in Mendelian Randomization Studies
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2017693
12
A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses
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2018679
13
An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings
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2018669
14
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
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2018587
15
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
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2018569
16
Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Qstatistics
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2011453
17
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
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2020451
18
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies
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2016373
19
Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization
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2021322
20 2016230

About Jack Bowden

Jack Bowden is a scholar working on Genetics, Statistics and Probability, Management Science and Operations Research, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 122 papers that have together received 32.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (43 papers), Statistical Methods in Clinical Trials (26 papers), Advanced Causal Inference Techniques (22 papers), Statistical Methods and Bayesian Inference (17 papers), Meta-analysis and systematic reviews (13 papers), Genetic and phenotypic traits in livestock (12 papers), Optimal Experimental Design Methods (11 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Genetics (8.9k citations), Biological Psychiatry (348 citations), Statistics and Probability (1.1k citations), Rheumatology (1.7k citations) and Gastroenterology (466 citations). Jack Bowden has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include George Davey Smith, Stephen Burgess, Philip Haycock, Fernando Pires Hartwig, Gibran Hemani, Nuala A. Sheehan, Cosetta Minelli, Fabiola Del Greco M, John R. Thompson and Michael V. Holmes. Their work appears in journals such as Statistics in Medicine, International Journal of Epidemiology, Research Synthesis Methods, Trials and Genetic Epidemiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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