Christopher N. Foley

7.7k total citations · 2 hit papers
15 papers, 1.4k citations indexed

About

Christopher N. Foley is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Christopher N. Foley has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Statistics and Probability. Recurrent topics in Christopher N. Foley's work include Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Advanced Causal Inference Techniques (3 papers). Christopher N. Foley is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Advanced Causal Inference Techniques (3 papers). Christopher N. Foley collaborates with scholars based in United Kingdom, United States and Finland. Christopher N. Foley's co-authors include Stephen Burgess, James R Staley, Joanna M. M. Howson, Verena Zuber, Elias Allara, Philip G. Breen, Jessica M. B. Rees, Paul Kirk, Apostolos Gkatzionis and Amy M. Mason and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Christopher N. Foley

15 papers receiving 1.3k citations

Hit Papers

A robust and efficient method for Mendelian randomization... 2020 2026 2022 2024 2020 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher N. Foley United Kingdom 13 602 337 191 183 151 15 1.4k
Benjamin B. Sun United Kingdom 10 689 1.1× 444 1.3× 179 0.9× 110 0.6× 161 1.1× 15 1.4k
Aliya Gifford United States 12 512 0.9× 350 1.0× 192 1.0× 177 1.0× 132 0.9× 22 1.6k
Wes Spiller United Kingdom 8 632 1.0× 252 0.7× 179 0.9× 83 0.5× 119 0.8× 14 1.1k
Alice R Carter United Kingdom 10 430 0.7× 206 0.6× 191 1.0× 130 0.7× 106 0.7× 23 1.0k
Jean Morrison United States 8 701 1.2× 538 1.6× 188 1.0× 91 0.5× 147 1.0× 12 1.6k
Kristin Brown‐Gentry United States 14 648 1.1× 548 1.6× 112 0.6× 137 0.7× 118 0.8× 26 1.4k
Teresa Ferreira Portugal 18 789 1.3× 571 1.7× 194 1.0× 268 1.5× 164 1.1× 69 2.0k
Aris Baras United States 21 757 1.3× 669 2.0× 278 1.5× 186 1.0× 216 1.4× 46 1.9k
Zhongshang Yuan China 22 332 0.6× 312 0.9× 206 1.1× 214 1.2× 122 0.8× 103 1.4k
Jessica N. Cooke Bailey United States 23 330 0.5× 374 1.1× 250 1.3× 140 0.8× 99 0.7× 64 1.7k

Countries citing papers authored by Christopher N. Foley

Since Specialization
Citations

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

Fields of papers citing papers by Christopher N. Foley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher N. Foley. 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 Christopher N. Foley. The network helps show where Christopher N. Foley may publish in the future.

Co-authorship network of co-authors of Christopher N. Foley

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

All Works

15 of 15 papers shown
1.
Gadd, Danni A., Robert F. Hillary, Yipeng Cheng, et al.. (2024). Blood protein assessment of leading incident diseases and mortality in the UK Biobank. Nature Aging. 4(7). 939–948. 38 indexed citations
2.
Hillary, Robert F., Danni A. Gadd, Tin-Chi Lin, et al.. (2024). Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank. Nature Communications. 15(1). 7346–7346. 2 indexed citations
3.
Kurki, Mitja, Christopher N. Foley, Chia‐Yen Chen, et al.. (2022). Genetic associations of protein-coding variants in human disease. Nature. 603(7899). 95–102. 70 indexed citations
4.
Bowker, Nicholas, Stephen Burgess, Christopher N. Foley, et al.. (2021). Genetically Predicted Glucose-Dependent Insulinotropic Polypeptide (GIP) Levels and Cardiovascular Disease Risk Are Driven by Distinct Causal Variants in the GIPR Region. Diabetes. 70(11). 2706–2719. 16 indexed citations
5.
Foley, Christopher N., James R Staley, Philip G. Breen, et al.. (2021). A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits. Nature Communications. 12(1). 764–764. 212 indexed citations breakdown →
6.
Foley, Christopher N., Amy M. Mason, Paul Kirk, & Stephen Burgess. (2020). MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates. Bioinformatics. 37(4). 531–541. 35 indexed citations
7.
Burgess, Stephen, Christopher N. Foley, Elias Allara, James R Staley, & Joanna M. M. Howson. (2020). A robust and efficient method for Mendelian randomization with hundreds of genetic variants. Nature Communications. 11(1). 376–376. 364 indexed citations breakdown →
8.
Foley, Christopher N. & James R Staley. (2020). cnfoley/hyprcoloc: First release of software. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Breen, Philip G., Christopher N. Foley, Tjarda Boekholt, & Simon Portegies Zwart. (2020). Newton versus the machine: solving the chaotic three-body problem using deep neural networks. Monthly Notices of the Royal Astronomical Society. 494(2). 2465–2470. 49 indexed citations
10.
Rees, Jessica M. B., Christopher N. Foley, & Stephen Burgess. (2019). Factorial Mendelian randomization: using genetic variants to assess interactions. International Journal of Epidemiology. 49(4). 1147–1158. 55 indexed citations
11.
Khandaker, Golam M., Verena Zuber, Jessica M. B. Rees, et al.. (2019). Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort. Molecular Psychiatry. 25(7). 1477–1486. 179 indexed citations
12.
Allara, Elias, Paul Carter, Apostolos Gkatzionis, et al.. (2019). Genetic Determinants of Lipids and Cardiovascular Disease Outcomes. Circulation Genomic and Precision Medicine. 12(12). e002711–e002711. 79 indexed citations
13.
Burgess, Stephen, Verena Zuber, Apostolos Gkatzionis, & Christopher N. Foley. (2018). Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid. International Journal of Epidemiology. 47(4). 1242–1254. 47 indexed citations
14.
Burgess, Stephen, Christopher N. Foley, & Verena Zuber. (2018). Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data. Annual Review of Genomics and Human Genetics. 19(1). 303–327. 193 indexed citations
15.
Salisbury, Dereck, et al.. (2017). Translation of an evidence-based therapeutic exercise program for patients with peripheral artery disease. Journal of Vascular Nursing. 36(1). 23–33. 12 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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