Jack Bowden

60.4k total citations · 20 hit papers
121 papers, 30.7k citations indexed

About

Jack Bowden is a scholar working on Genetics, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Jack Bowden has authored 121 papers receiving a total of 30.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Genetics, 54 papers in Statistics and Probability and 17 papers in Economics and Econometrics. Recurrent topics in Jack Bowden's work include Genetic Associations and Epidemiology (51 papers), Statistical Methods in Clinical Trials (30 papers) and Advanced Causal Inference Techniques (26 papers). Jack Bowden is often cited by papers focused on Genetic Associations and Epidemiology (51 papers), Statistical Methods in Clinical Trials (30 papers) and Advanced Causal Inference Techniques (26 papers). Jack Bowden collaborates with scholars based in United Kingdom, United States and Switzerland. Jack Bowden's 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 and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Jack Bowden

117 papers receiving 30.6k citations

Hit Papers

Mendelian randomization with invalid instruments: effect ... 2011 2026 2016 2021 2015 2016 2018 2017 2016 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jack Bowden United Kingdom 40 14.2k 6.6k 4.6k 3.8k 3.2k 121 30.7k
Nicholas J. Timpson United Kingdom 62 9.3k 0.7× 5.2k 0.8× 3.1k 0.7× 3.2k 0.8× 1.9k 0.6× 250 22.6k
Stephen Burgess United Kingdom 78 22.5k 1.6× 11.2k 1.7× 7.4k 1.6× 6.0k 1.6× 5.1k 1.6× 334 48.2k
Graham G. Giles Australia 88 4.2k 0.3× 5.8k 0.9× 4.0k 0.9× 4.2k 1.1× 2.3k 0.7× 778 31.9k
Naomi E. Allen United Kingdom 50 5.8k 0.4× 3.7k 0.6× 2.5k 0.6× 3.8k 1.0× 1.0k 0.3× 134 23.0k
John Danesh United Kingdom 59 4.6k 0.3× 3.9k 0.6× 5.7k 1.3× 3.5k 0.9× 1.7k 0.5× 129 29.9k
John L. Hopper Australia 88 7.8k 0.6× 7.0k 1.1× 2.4k 0.5× 3.8k 1.0× 936 0.3× 769 32.6k
Carl D. Langefeld United States 66 4.0k 0.3× 4.3k 0.7× 2.6k 0.6× 2.0k 0.5× 2.3k 0.7× 423 17.6k
Valerie Beral United Kingdom 84 6.9k 0.5× 3.3k 0.5× 5.3k 1.2× 3.6k 0.9× 777 0.2× 343 33.2k
Mark I. McCarthy United Kingdom 95 13.3k 0.9× 13.0k 2.0× 3.1k 0.7× 4.1k 1.1× 789 0.2× 516 36.4k
L. Adrienne Cupples United States 112 7.1k 0.5× 7.9k 1.2× 4.7k 1.0× 8.3k 2.2× 2.0k 0.6× 539 43.4k

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-authorship network of co-authors of Jack Bowden

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Bowden. A scholar is included among the top collaborators of Jack Bowden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jack Bowden. Jack Bowden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Green, Harry, Ji Chen, Jonathan P Evans, et al.. (2024). Hyperglycaemia is a causal risk factor for upper limb pathologies. International Journal of Epidemiology. 53(1). 2 indexed citations
2.
Thomas, Nicholas J., Robert Challen, Angus G. Jones, et al.. (2024). Safety and effectiveness of SGLT2 inhibitors in a UK population with type 2 diabetes and aged over 70 years: an instrumental variable approach. Diabetologia. 67(9). 1817–1827. 9 indexed citations
3.
Bowden, Jack, et al.. (2024). SLCO1B1 Exome Sequencing and Statin Treatment Response in 64,000 UK Biobank Patients. International Journal of Molecular Sciences. 25(8). 4426–4426. 1 indexed citations
4.
Casanova, Francesco, Amanda Hughes, Zammy Fairhurst-Hunter, et al.. (2023). BMI and well-being in people of East Asian and European ancestry: a Mendelian randomisation study. Translational Psychiatry. 13(1). 251–251. 2 indexed citations
5.
Masoli, Jane, João Delgado, Chia‐Ling Kuo, et al.. (2022). Calcium‐channel blockers: Clinical outcome associations with reported pharmacogenetics variants in 32 000 patients. British Journal of Clinical Pharmacology. 89(2). 853–864. 9 indexed citations
6.
Bowden, Jack, Beverly M. Shields, Debbie A. Lawlor, et al.. (2022). Investigating a possible causal relationship between maternal serum urate concentrations and offspring birthweight: a Mendelian randomization study. International Journal of Epidemiology. 52(1). 178–189. 5 indexed citations
7.
Masoli, Jane, et al.. (2022). Statin treatment effectiveness and the SLCO1B1 *5 reduced function genotype: Long‐term outcomes in women and men. British Journal of Clinical Pharmacology. 88(7). 3230–3240. 9 indexed citations
8.
Grace, Sian, Jack Bowden, Helen C. Walkey, et al.. (2022). Islet Autoantibody Level Distribution in Type 1 Diabetes and Their Association With Genetic and Clinical Characteristics. The Journal of Clinical Endocrinology & Metabolism. 107(12). e4341–e4349. 8 indexed citations
9.
Windmeijer, Frank, et al.. (2021). Bristol Research (University of Bristol). 13 indexed citations
10.
Pilling, Luke C., Janice L. Atkins, João Delgado, et al.. (2021). Analysis of CYP2C19 genetic variants with ischaemic events in UK patients prescribed clopidogrel in primary care: a retrospective cohort study. BMJ Open. 11(12). e053905–e053905. 6 indexed citations
11.
Tudball, Matthew, Jack Bowden, Rachael A. Hughes, et al.. (2021). Mendelian randomisation with coarsened exposures. Genetic Epidemiology. 45(3). 338–350. 19 indexed citations
12.
Sanderson, Eleanor, George Davey Smith, Jack Bowden, & Marcus R. Munafò. (2019). Mendelian randomisation analysis of the effect of educational attainment and cognitive ability on smoking behaviour. Nature Communications. 10(1). 2949–2949. 42 indexed citations
13.
Bowden, Jack, Fabiola Del Greco M, Cosetta Minelli, et al.. (2018). Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption. International Journal of Epidemiology. 48(3). 728–742. 547 indexed citations breakdown →
14.
Bowden, Jack, Wes Spiller, Fabiola Del Greco M, et al.. (2018). Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression. International Journal of Epidemiology. 47(4). 1264–1278. 536 indexed citations breakdown →
15.
Sanderson, Eleanor, George Davey Smith, Frank Windmeijer, & Jack Bowden. (2018). An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings. International Journal of Epidemiology. 48(3). 713–727. 634 indexed citations breakdown →
16.
Hartwig, Fernando Pires, George Davey Smith, & Jack Bowden. (2017). Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption. International Journal of Epidemiology. 46(6). 1985–1998. 1877 indexed citations breakdown →
17.
Tillmann, Taavi, Julien Vaucher, Aysu Okbay, et al.. (2017). Education and coronary heart disease: mendelian randomisation study. BMJ. 358. j3542–j3542. 120 indexed citations
18.
Hartwig, Fernando Pires, Jack Bowden, Christian Loret de Mola, et al.. (2016). Body mass index and psychiatric disorders: a Mendelian randomization study. Scientific Reports. 6(1). 32730–32730. 40 indexed citations
19.
Lane, Jacqueline M., Jingjing Liang, Irma Vlasac, et al.. (2016). Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits. Nature Genetics. 49(2). 274–281. 226 indexed citations
20.
Jackson, Dan, Jack Bowden, & Rose Baker. (2009). How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?. Journal of Statistical Planning and Inference. 140(4). 961–970. 160 indexed citations

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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