Jack Bowden
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- Inflammatory Bowel Disease
- Biological Psychiatry top 1%
Papers in
- Genetics 71
- Genetic Associations and Epidemiology 68
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- Statistical Methods in Clinical Trials 20
- Advanced Causal Inference Techniques 17
- Statistical Methods and Bayesian Inference 3
- Co-authors
- George Davey Smith (30 shared papers)Stephen Burgess (10 shared papers)Philip Haycock (5 shared papers)Fernando Pires Hartwig (8 shared papers)Gibran Hemani (5 shared papers)Nuala A. Sheehan (9 shared papers)Cosetta Minelli (9 shared papers)Fabiola Del Greco M (8 shared papers)
- Journals
- Statistics in Medicine (17 papers)International Journal of Epidemiology (14 papers)Research Synthesis Methods (7 papers)Genetic Epidemiology (7 papers)Nature Communications (5 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Jack Bowden
138 papers receiving 38.6k citations
Jack Bowden's Hit Papers
Peers
Comparison fields: 5 of 187
- Genetics 19.9k
- Biological Psychiatry 206
- Psychiatry and Mental health 2.7k
- Physiology 3k
- Rheumatology 1.5k
Countries citing papers authored by Jack Bowden
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
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.
All Works
Showing the 20 most-cited of 142 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 → | 2015 | 6583 |
| 2 | Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator Hit paper breakdown → | 2016 | 5986 |
| 3 | The MR-Base platform supports systematic causal inference across the human phenome Hit paper breakdown → | 2018 | 5287 |
| 4 | Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption Hit paper breakdown → | 2017 | 2245 |
| 5 | Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants Hit paper breakdown → | 2016 | 1365 |
| 6 | A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization Hit paper breakdown → | 2017 | 1270 |
| 7 | Methods to estimate the between‐study variance and its uncertainty in meta‐analysis Hit paper breakdown → | 2015 | 1229 |
| 8 | Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic Hit paper breakdown → | 2016 | 1175 |
| 9 | Meta‐analysis and Mendelian randomization: A review Hit paper breakdown → | 2019 | 1038 |
| 10 | Evaluating the potential role of pleiotropy in Mendelian randomization studies Hit paper breakdown → | 2018 | 1019 |
| 11 | Recent Developments in Mendelian Randomization Studies Hit paper breakdown → | 2017 | 768 |
| 12 | A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses Hit paper breakdown → | 2018 | 766 |
| 13 | An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings Hit paper breakdown → | 2018 | 748 |
| 14 | Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption Hit paper breakdown → | 2018 | 653 |
| 15 | Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression Hit paper breakdown → | 2018 | 639 |
| 16 | Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score Hit paper breakdown → | 2020 | 569 |
| 17 | Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms Hit paper breakdown → | 2019 | 517 |
| 18 | 2011 | 463 | |
| 19 | Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies Hit paper breakdown → | 2016 | 458 |
| 20 | Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates Hit paper breakdown → | 2019 | 427 |
About Jack Bowden
Jack Bowden is a scholar working on Genetics, Statistics and Probability, Statistics, Probability and Uncertainty, Experimental and Cognitive Psychology and Physiology, having authored 142 papers that have together received 39k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (68 papers), Statistical Methods in Clinical Trials (20 papers), Meta-analysis and systematic reviews (17 papers), Advanced Causal Inference Techniques (17 papers), Sleep and related disorders (9 papers), Pharmacogenetics and Drug Metabolism (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Smoking Behavior and Cessation (3 papers). The work is most often cited by research in Genetics (19.9k citations), Biological Psychiatry (206 citations), Psychiatry and Mental health (2.7k citations), Physiology (3k citations) and Rheumatology (1.5k 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 Russell Thompson and Michael Vaclav Holmes. Their work appears in journals such as Statistics in Medicine, International Journal of Epidemiology, Research Synthesis Methods, Genetic Epidemiology and Nature Communications.
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.