Fergus Cooper
Impact in
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- Cellular Mechanics and Interactions
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- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Forensic and Genetic Research
- Evolution and Genetic Dynamics
Papers in
- Genetics 3
- Genetic Associations and Epidemiology 3
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetic and phenotypic traits in livestock 2
- Forensic and Genetic Research 1
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- Ion channel regulation and function 1
- Co-authors
- Ruth E. Baker (2 shared papers)Alexander G. Fletcher (2 shared papers)Pier Francesco Palamara (3 shared papers)Georgios Kalantzis (2 shared papers)Arjun Biddanda (1 shared paper)Derek Shyr (1 shared paper)Martin Robinson (1 shared paper)Alexander Gusev (1 shared paper)
- Journals
- Nature Genetics (2 papers)Mathematical Biosciences (1 paper)Nature Communications (1 paper)SIAM Journal on Scientific Computing (1 paper)Frontiers in Pharmacology (1 paper)
- Partner nations
- United KingdomMacaoSwitzerland
In The Last Decade
Fergus Cooper
7 papers receiving 206 citations
Peers
Comparison fields: 5 of 63
- Cell Biology 66
- Genetics 90
- Modeling and Simulation 13
- Biophysics 6
- Molecular Biology 55
Countries citing papers authored by Fergus Cooper
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
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-authors
The 15 scholars most cited alongside Fergus Cooper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 77 | |
| 2 | 2020 | 59 | |
| 3 | 2023 | 46 | |
| 4 | 2025 | 10 | |
| 5 | 2017 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2023 | 3 |
About Fergus Cooper
Fergus Cooper is a scholar working on Genetics, Molecular Biology, Condensed Matter Physics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 208 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and phenotypic traits in livestock (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Blood properties and coagulation (1 paper), Forensic and Genetic Research (1 paper), Ion channel regulation and function (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Cell Biology (66 citations), Genetics (90 citations), Modeling and Simulation (13 citations), Biophysics (6 citations) and Molecular Biology (55 citations). Fergus Cooper has collaborated with scholars based in United Kingdom, Macao and Switzerland. Frequent co-authors include Ruth E. Baker, Alexander G. Fletcher, Pier Francesco Palamara, Georgios Kalantzis, Arjun Biddanda, Derek Shyr, Martin Robinson, Alexander Gusev, David J. Gavaghan and Chon Lok Lei. Their work appears in journals such as Nature Genetics, Mathematical Biosciences, Nature Communications, SIAM Journal on Scientific Computing and Frontiers in Pharmacology.
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.