Tom Palmer

15.8k total citations · 3 hit papers
90 papers, 5.9k citations indexed

About

Tom Palmer is a scholar working on Genetics, Statistics and Probability and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tom Palmer has authored 90 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 17 papers in Statistics and Probability and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tom Palmer's work include Genetic Associations and Epidemiology (25 papers), Advanced Causal Inference Techniques (11 papers) and Genetic and phenotypic traits in livestock (10 papers). Tom Palmer is often cited by papers focused on Genetic Associations and Epidemiology (25 papers), Advanced Causal Inference Techniques (11 papers) and Genetic and phenotypic traits in livestock (10 papers). Tom Palmer collaborates with scholars based in United Kingdom, United States and Netherlands. Tom Palmer's co-authors include George Davey Smith, Jonathan A C Sterne, Debbie A. Lawlor, Nicholas J. Timpson, Michael V. Holmes, Eleanor Sanderson, Nuala A. Sheehan, Roger Harbord, Jonathan H. Tobias and Marcus R. Munafò and has published in prestigious journals such as JAMA, Circulation and Nature Communications.

In The Last Decade

Tom Palmer

85 papers receiving 5.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mendelian randomization

2022 952 citations Eleanor Sanderson, Michael V. Holmes et al. profile →
Using multiple genetic variants as instrumental variables for modifiable risk factors

2011 787 citations Tom Palmer, Debbie A. Lawlor et al. profile →
Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis

2020 491 citations Tom G. Richardson, Eleanor Sanderson et al. PLoS Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Palmer United Kingdom	33	1.7k	961	930	742	736	90	5.9k
Evangelia Ntzani Greece	31	1.4k 0.8×	1.7k 1.7×	602 0.6×	738 1.0×	722 1.0×	120	6.9k
Kari E. North United States	45	1.6k 0.9×	1.6k 1.7×	1.1k 1.1×	924 1.2×	522 0.7×	298	6.7k
Rebecca C. Richmond United Kingdom	33	2.4k 1.4×	2.1k 2.2×	909 1.0×	1.1k 1.5×	623 0.8×	99	7.1k
Cosetta Minelli United Kingdom	41	3.1k 1.8×	1.8k 1.9×	1.4k 1.5×	1.2k 1.7×	857 1.2×	130	9.3k
Sue K. Park South Korea	45	1.0k 0.6×	1.9k 1.9×	729 0.8×	511 0.7×	1.0k 1.4×	300	7.1k
Muin J. Khoury United States	39	2.4k 1.4×	1.8k 1.8×	521 0.6×	428 0.6×	442 0.6×	95	7.0k
Nikolaos A. Patsopoulos United States	29	688 0.4×	882 0.9×	547 0.6×	484 0.7×	542 0.7×	53	6.1k
Johannes Huber Germany	43	1.2k 0.7×	1.2k 1.2×	394 0.4×	420 0.6×	840 1.1×	302	7.2k
Kristian Hveem Norway	44	1.1k 0.6×	1.4k 1.4×	609 0.7×	899 1.2×	2.1k 2.9×	174	7.6k
James J. Grady United States	50	505 0.3×	929 1.0×	1.3k 1.4×	939 1.3×	891 1.2×	198	7.2k

Countries citing papers authored by Tom Palmer

Since Specialization

Citations

This map shows the geographic impact of Tom Palmer'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 Tom Palmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Palmer more than expected).

Fields of papers citing papers by Tom Palmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Palmer. 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 Tom Palmer. The network helps show where Tom Palmer may publish in the future.

Co-authorship network of co-authors of Tom Palmer

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Palmer. A scholar is included among the top collaborators of Tom Palmer 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 Tom Palmer. Tom Palmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Power, Grace M., Tom Palmer, Nicole M. Warrington, et al.. (2025). A structural mean modeling Mendelian randomization approach to investigate the lifecourse effect of adiposity: applied and methodological considerations. American Journal of Epidemiology. 195(1). 21–31.

Horne, Elsie, William Hulme, Edward P K Parker, et al.. (2024). Effectiveness of mRNA COVID-19 Vaccines as First Booster Doses in England: An Observational Study in OpenSAFELY-TPP. Epidemiology. 35(4). 568–578. 1 indexed citations

Hulme, William, Elsie Horne, Edward P K Parker, et al.. (2023). Comparative effectiveness of BNT162b2 versus mRNA-1273 covid-19 vaccine boosting in England: matched cohort study in OpenSAFELY-TPP. BMJ. 380. e072808–e072808. 17 indexed citations

Hamilton, Fergus, Matt Thomas, David Arnold, et al.. (2023). Therapeutic potential of IL6R blockade for the treatment of sepsis and sepsis-related death: A Mendelian randomisation study. PLoS Medicine. 20(1). e1004174–e1004174. 69 indexed citations

Madley‐Dowd, Paul, Christina Dardani, Robyn E. Wootton, et al.. (2022). Maternal vitamin D during pregnancy and offspring autism and autism-associated traits: a prospective cohort study. Molecular Autism. 13(1). 44–44. 6 indexed citations

Scott, Lauren J, Mairead Murphy, S.J. Price, et al.. (2021). Changes in presentations with features potentially indicating cancer in primary care during the COVID-19 pandemic: a retrospective cohort study. BMJ Open. 11(5). e050131–e050131. 7 indexed citations

Dondelinger, Frank, et al.. (2020). Software Application Profile: Bayesian estimation of inverse variance weighted and MR-Egger models for two-sample Mendelian randomization studies—mrbayes. International Journal of Epidemiology. 50(1). 43–49. 2 indexed citations

Budu‐Aggrey, Ashley, Sarah Watkins, Ben Brumpton, et al.. (2020). Assessment of a causal relationship between body mass index and atopic dermatitis. Journal of Allergy and Clinical Immunology. 147(1). 400–403. 17 indexed citations

Bloom, Chloë I., Tom Palmer, Johanna Feary, Jennifer K Quint, & Paul Cullinan. (2018). Exacerbation Patterns in Adults with Asthma in England. A Population-based Study. American Journal of Respiratory and Critical Care Medicine. 199(4). 446–453. 44 indexed citations

10.

Tillmann, Taavi, Julien Vaucher, Aysu Okbay, et al.. (2017). Education and coronary heart disease: mendelian randomisation study. BMJ. 358. j3542–j3542. 120 indexed citations

11.

Roetker, Nicholas S., Sebastian M. Armasu, James S. Pankow, et al.. (2017). Taller height as a risk factor for venous thromboembolism: a Mendelian randomization meta‐analysis. Journal of Thrombosis and Haemostasis. 15(7). 1334–1343. 19 indexed citations

12.

Cook, Jonathan, Graeme MacLennan, Tom Palmer, Noemi Lois, & Richard Emsley. (2017). Instrumental variable methods for a binary outcome were used to informatively address noncompliance in a randomized trial in surgery. Journal of Clinical Epidemiology. 96. 126–132. 3 indexed citations

13.

Richmond, Rebecca C., Nicholas J. Timpson, Janine F. Felix, et al.. (2017). Using Genetic Variation to Explore the Causal Effect of Maternal Pregnancy Adiposity on Future Offspring Adiposity: A Mendelian Randomisation Study. PLoS Medicine. 14(1). e1002221–e1002221. 58 indexed citations

14.

Szczepura, Ala, Deidre Wild, Amir Khan, et al.. (2016). Antipsychotic prescribing in care homes before and after launch of a national dementia strategy: an observational study in English institutions over a 4-year period. BMJ Open. 6(9). e009882–e009882. 34 indexed citations

15.

Soulier, Laure, Tom Palmer, Mohand Boughanem, et al.. (2015). IRIT at TREC Microblog 2015. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

16.

Cartwright, Rufus, Anna C. Kirby, Kari A.O. Tikkinen, et al.. (2014). Systematic review and metaanalysis of genetic association studies of urinary symptoms and prolapse in women. American Journal of Obstetrics and Gynecology. 212(2). 199.e1–199.e24. 74 indexed citations

17.

Palmer, Tom, Børge G. Nordestgaard, Marianne Benn, et al.. (2013). Association of plasma uric acid with ischaemic heart disease and blood pressure: mendelian randomisation analysis of two large cohorts. BMJ. 347(jul18 1). f4262–f4262. 218 indexed citations

18.

Palmer, Tom & Corrie Macdonald‐Wallis. (2012). REFFADJUST: Stata module to estimate adjusted regression coefficients for the association between two random effects variables. RePEc: Research Papers in Economics. 4 indexed citations

19.

Palmer, Tom. (2008). Reading the Game: Using Sport to Encourage Boys and Men to Read More. Australasian public libraries and information services. 21(2). 78. 2 indexed citations

20.

Palmer, Tom, J. Thompson, & Santiago G. Moreno. (2007). Performing Bayesian analysis in Stata using WinBUGS. RePEc: Research Papers in Economics.

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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