Fergus Cooper

543 total citations
7 papers, 189 citations indexed

About

Fergus Cooper is a scholar working on Genetics, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Fergus Cooper has authored 7 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 1 paper in Molecular Biology and 1 paper in Condensed Matter Physics. Recurrent topics in Fergus Cooper's work include Genetic Associations and Epidemiology (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Fergus Cooper is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Fergus Cooper collaborates with scholars based in United Kingdom, Macao and Switzerland. Fergus Cooper's co-authors include Alexander G. Fletcher, Ruth E. Baker, Pier Francesco Palamara, Georgios Kalantzis, Arjun Biddanda, Alexander Gusev, Derek Shyr, Martin Robinson, Chon Lok Lei and David J. Gavaghan and has published in prestigious journals such as Nature Communications, Nature Genetics and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Fergus Cooper

7 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fergus Cooper United Kingdom 6 86 64 57 33 13 7 189
Michael A. Boemo United Kingdom 8 32 0.4× 34 0.5× 171 3.0× 24 0.7× 23 1.8× 13 214
Shoma Nakagawa Japan 9 35 0.4× 80 1.3× 162 2.8× 40 1.2× 27 2.1× 15 373
Tim Johann Germany 6 6 0.1× 54 0.8× 42 0.7× 45 1.4× 5 0.4× 10 150
Laurane De Mot Belgium 4 17 0.2× 12 0.2× 230 4.0× 15 0.5× 6 0.5× 8 289
Ryan Muller United States 7 37 0.4× 43 0.7× 213 3.7× 16 0.5× 14 1.1× 8 247
Andrzej K. Oleś Poland 2 14 0.2× 28 0.4× 215 3.8× 30 0.9× 3 0.2× 3 247
Sabrina C. Solley United States 4 32 0.4× 8 0.1× 198 3.5× 42 1.3× 10 0.8× 6 235
Mariana Esther Martínez-Sánchez Mexico 7 19 0.2× 8 0.1× 70 1.2× 10 0.3× 15 1.2× 13 173
Masafumi Hayashi Japan 10 43 0.5× 8 0.1× 136 2.4× 14 0.4× 8 0.6× 25 259
Christina L. Hueschen United States 8 46 0.5× 208 3.3× 240 4.2× 7 0.2× 40 3.1× 12 317

Countries citing papers authored by Fergus Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Fergus Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fergus Cooper

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

All Works

7 of 7 papers shown
1.
Kalantzis, Georgios, et al.. (2025). A scalable variational inference approach for increased mixed-model association power. Nature Genetics. 57(2). 461–468. 5 indexed citations
2.
Clerx, Michael, Fergus Cooper, Liudmila Polonchuk, et al.. (2023). Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment. Frontiers in Pharmacology. 14. 1110555–1110555. 2 indexed citations
3.
Biddanda, Arjun, et al.. (2023). Biobank-scale inference of ancestral recombination graphs enables genealogical analysis of complex traits. Nature Genetics. 55(5). 768–776. 39 indexed citations
4.
Bajaj, Sumali, et al.. (2022). Learning transmission dynamics modelling of COVID-19 using comomodels. Mathematical Biosciences. 349. 108824–108824. 5 indexed citations
5.
Kalantzis, Georgios, Derek Shyr, Fergus Cooper, et al.. (2020). Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations. Nature Communications. 11(1). 6130–6130. 57 indexed citations
6.
Cooper, Fergus, Ruth E. Baker, & Alexander G. Fletcher. (2017). Numerical Analysis of the Immersed Boundary Method for Cell-Based Simulation. SIAM Journal on Scientific Computing. 39(5). B943–B967. 7 indexed citations
7.
Fletcher, Alexander G., Fergus Cooper, & Ruth E. Baker. (2017). Mechanocellular models of epithelial morphogenesis. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1720). 20150519–20150519. 74 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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