Tom R. Gaunt

47.6k total citations · 6 hit papers
200 papers, 13.8k citations indexed

About

Tom R. Gaunt is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tom R. Gaunt has authored 200 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 92 papers in Genetics and 29 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tom R. Gaunt's work include Genetic Associations and Epidemiology (66 papers), Epigenetics and DNA Methylation (36 papers) and Bioinformatics and Genomic Networks (30 papers). Tom R. Gaunt is often cited by papers focused on Genetic Associations and Epidemiology (66 papers), Epigenetics and DNA Methylation (36 papers) and Bioinformatics and Genomic Networks (30 papers). Tom R. Gaunt collaborates with scholars based in United Kingdom, United States and Netherlands. Tom R. Gaunt's co-authors include Hashem A. Shihab, George Davey Smith, Caroline L. Relton, Ian N.M. Day, Santiago Rodrı́guez, Gibran Hemani, Jie Zheng, Nicholas J. Timpson, Ian N. M. Day and David M. Evans and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Communications.

In The Last Decade

Tom R. Gaunt

196 papers receiving 13.7k citations

Hit Papers

5 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.

The MR-Base platform supports systematic causal inference across the human phenome

2018 4.4k citations Gibran Hemani, Jie Zheng et al. profile →
Predicting the Functional, Molecular, and Phenotypic Consequences of Amino Acid Substitutions using Hidden Markov Models

2012 899 citations Hashem A. Shihab, Ian N.M. Day et al. profile →
Hardy-Weinberg Equilibrium Testing of Biological Ascertainment for Mendelian Randomization Studies

2009 881 citations Santiago Rodrı́guez, Tom R. Gaunt et al. profile →
An integrative approach to predicting the functional effects of non-coding and coding sequence variation

2015 426 citations Hashem A. Shihab, Ian N.M. Day et al. Bioinformatics profile →
LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

2016 406 citations Jie Zheng, A. Mesut Erzurumluoglu et al. Bioinformatics profile →
Systematic identification of genetic influences on methylation across the human life course

2016 351 citations Tom R. Gaunt, Hashem A. Shihab et al. profile →

Peers

Tom R. Gaunt

GENET

PPCH

PHYSI

EPIDE

Gibran Hemani United Kingdom

David M. Evans United Kingdom

Yun Li United States

Caroline L. Relton United Kingdom

Cathryn M. Lewis United Kingdom

Harold Snieder Netherlands

Timothy M. Frayling United Kingdom

Adebowale Adeyemo United States

Daniel I. Chasman United States

Jeffrey C. Barrett United Kingdom

Gibran Hemani United Kingdom

Tom R. Gaunt

4.7k ×0.8

8.3k ×1.6

GENET

1.2k ×0.7

PPCH

1.8k ×1.2

PHYSI

2.1k ×1.4

EPIDE

Citations per year, relative to Tom R. Gaunt Tom R. Gaunt (= 1×) peers Gibran Hemani

Countries citing papers authored by Tom R. Gaunt

Since Specialization

Citations

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

Fields of papers citing papers by Tom R. Gaunt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom R. Gaunt

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Paternoster, Lavinia, et al.. (2025). Genetic inference of on-target and off-target side-effects of antipsychotic medications. PLoS Genetics. 21(7). e1011793–e1011793.

Robinson, Tim, et al.. (2025). Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors. Journal of Biomedical Informatics. 165. 104810–104810.

Swain, Christopher T.V., Ann E. Drummond, Roger L. Milne, et al.. (2023). Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation. Cancer Epidemiology Biomarkers & Prevention. 32(5). 588–596. 7 indexed citations

Borges, Maria Carolina, Jie Zheng, Gibran Hemani, et al.. (2022). The impact of fatty acids biosynthesis on the risk of cardiovascular diseases in Europeans and East Asians: a Mendelian randomization study. Human Molecular Genetics. 31(23). 4034–4054. 8 indexed citations

Fang, Si, Gibran Hemani, Tom G. Richardson, Tom R. Gaunt, & George Davey Smith. (2022). Evaluating and implementing block jackknife resampling Mendelian randomization to mitigate bias induced by overlapping samples. Human Molecular Genetics. 32(2). 192–203. 15 indexed citations

Walker, Venexia, Marijana Vujković, Alice R Carter, et al.. (2022). Separating the direct effects of traits on atherosclerotic cardiovascular disease from those mediated by type 2 diabetes. Diabetologia. 65(5). 790–799. 10 indexed citations

Swain, Christopher T.V., Ann E. Drummond, Roger L. Milne, et al.. (2022). Linking Physical Activity to Breast Cancer Risk via Insulin/Insulin-Like Growth Factor Signaling System, Part 1: The Effect of Physical Activity on the Insulin/Insulin-Like Growth Factor Signaling System. Cancer Epidemiology Biomarkers & Prevention. 31(12). 2106–2115. 7 indexed citations

Zheng, Jie, Min Xu, Venexia Walker, et al.. (2022). Evaluating the efficacy and mechanism of metformin targets on reducing Alzheimer’s disease risk in the general population: a Mendelian randomisation study. Diabetologia. 65(10). 1664–1675. 64 indexed citations

Drummond, Ann E., Christopher T.V. Swain, Roger L. Milne, et al.. (2022). Linking Physical Activity to Breast Cancer Risk via the Insulin/Insulin-like Growth Factor Signaling System, Part 2: The Effect of Insulin/Insulin-like Growth Factor Signaling on Breast Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 31(12). 2116–2125. 7 indexed citations

10.

Sobczyk, Maria, Tom R. Gaunt, & Lavinia Paternoster. (2021). MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes. Bioinformatics. 37(1). 1–8. 12 indexed citations

11.

Swain, Christopher T.V., Ann E. Drummond, Leonessa Boing, et al.. (2021). Linking Physical Activity to Breast Cancer via Sex Hormones, Part 1: The Effect of Physical Activity on Sex Steroid Hormones. Cancer Epidemiology Biomarkers & Prevention. 31(1). 16–27. 21 indexed citations

12.

Lynch, Brigid M., Roger L. Milne, Dallas R. English, et al.. (2021). Linking Physical Activity to Breast Cancer: Text Mining Results and a Protocol for Systematically Reviewing Three Potential Mechanistic Pathways. Cancer Epidemiology Biomarkers & Prevention. 31(1). 11–15. 9 indexed citations

13.

Liu, Yi, Benjamin Elsworth, Pau Erola, et al.. (2020). EpiGraphDB: a database and data mining platform for health data science. Bioinformatics. 37(9). 1304–1311. 28 indexed citations

14.

Wannamethee, S. Goya, Jorgen Engmann, Tom R. Gaunt, et al.. (2020). Establishing reference intervals for triglyceride-containing lipoprotein subfraction metabolites measured using nuclear magnetic resonance spectroscopy in a UK population. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 58(1). 47–53. 3 indexed citations

15.

Smith, George Davey, et al.. (2019). Integrating Mendelian randomization and multiple-trait colocalization to uncover cell-specific inflammatory drivers of autoimmune and atopic disease. Human Molecular Genetics. 28(19). 3293–3300. 31 indexed citations

16.

Zheng, Jie, Tom G. Richardson, Louise A C Millard, et al.. (2018). PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics. GigaScience. 7(8). 40 indexed citations

17.

Arathimos, Ryan, Matthew Suderman, Gemma C. Sharp, et al.. (2017). Epigenome-wide association study of asthma and wheeze in childhood and adolescence. Clinical Epigenetics. 9(1). 112–112. 52 indexed citations

18.

Guyatt, Anna L., Santiago Rodrı́guez, Tom R. Gaunt, Abigail Fraser, & Emma L. Anderson. (2017). Early life adiposity and telomere length across the life course: a systematic review and meta-analysis. 2. 118–118. 2 indexed citations

19.

Erzurumluoglu, A. Mesut, Santiago Rodrı́guez, Hashem A. Shihab, et al.. (2015). Identifying Highly Penetrant Disease Causal Mutations Using Next Generation Sequencing: Guide to Whole Process. BioMed Research International. 2015. 1–16. 7 indexed citations

20.

Guthrie, Philip A. I., M.R. Abdollahi, Tom R. Gaunt, et al.. (2014). Haptoglobin Duplicon, Hemoglobin, and Vitamin C: Analyses in the British Women’s Heart and Health Study and Caerphilly Prospective Study. Disease Markers. 2014. 1–5. 4 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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