Jack Bowden
- Genetics top 0.01%
- Genetic Associations and Epidemiology 51
- Genetic and phenotypic traits in livestock 24
- Genetic Mapping and Diversity in Plants and Animals 14
- Rheumatology top 0.1%
- Biological Psychiatry top 0.5%
- Statistics and Probability top 0.2%
- Statistical Methods in Clinical Trials 30
- Advanced Causal Inference Techniques 26
- Statistical Methods and Bayesian Inference 19
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- Meta-analysis and systematic reviews 14
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- Optimal Experimental Design Methods 11
- Co-authors
- George Davey SmithStephen BurgessPhilip HaycockFernando Pires HartwigGibran HemaniNuala A. SheehanCosetta MinelliFabiola Del Greco M
- Journals
- Statistics in Medicine (16 papers)International Journal of Epidemiology (11 papers)Research Synthesis Methods (7 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Jack Bowden
117 papers receiving 30.6k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Genetics 14.2k
- Rheumatology 3.2k
- Biological Psychiatry 535
- Endocrinology, Diabetes and Metabolism 2.6k
- Statistics and Probability 1.3k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 37 | |
| 12 | 2021 | 13 | |
| 13 | The use of two-sample methods for Mendelian randomization analyses on single large datasetsbreakdown → | 2021 | 200 |
| 14 | 2021 | 14 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 19 | |
| 17 | An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settingsbreakdown → | 2018 | 634 |
| 18 | 2018 | 49 | |
| 19 | 2016 | 226 | |
| 20 | 2015 | 81 |
About Jack Bowden
Jack Bowden is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Genetics, having authored 121 papers that have together received 30.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (51 papers), Statistical Methods in Clinical Trials (30 papers), Advanced Causal Inference Techniques (26 papers), Genetic and phenotypic traits in livestock (24 papers), Statistical Methods and Bayesian Inference (19 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Meta-analysis and systematic reviews (14 papers) and Optimal Experimental Design Methods (11 papers). The work is most often cited by research in Genetics (14.2k citations), Rheumatology (3.2k citations) and Biological Psychiatry (535 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, Genetic Epidemiology and Trials.
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.