Brian Coventry
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
Papers in
-
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 2
- RNA Research and Splicing 2
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- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- David Baker (14 shared papers)Inna Goreshnik (4 shared papers)Longxing Cao (2 shared papers)Lauren Carter (2 shared papers)Lance Stewart (2 shared papers)Michael Diamond (1 shared paper)L. M. Miller (1 shared paper)James Brett Case (1 shared paper)
- Journals
- Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science (2 papers)Cell Research (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Brian Coventry
17 papers receiving 1.1k citations
Brian Coventry's Hit Papers
Peers
Comparison fields: 5 of 85
- Infectious Diseases 273
- Molecular Biology 742
- Computational Theory and Mathematics 132
- Radiology, Nuclear Medicine and Imaging 149
- Biotechnology 44
Countries citing papers authored by Brian Coventry
This map shows the geographic impact of Brian Coventry'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 Brian Coventry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Coventry more than expected).
Fields of papers citing papers by Brian Coventry
This network shows the impact of papers produced by Brian Coventry. 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 Brian Coventry. The network helps show where Brian Coventry may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Coventry, 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 | De novo design of picomolar SARS-CoV-2 miniprotein inhibitors Hit paper breakdown → | 2020 | 463 |
| 2 | De novo design of luciferases using deep learning Hit paper breakdown → | 2023 | 279 |
| 3 | Improving de novo protein binder design with deep learning Hit paper breakdown → | 2023 | 182 |
| 4 | 2020 | 92 | |
| 5 | 2024 | 30 | |
| 6 | 2024 | 18 | |
| 7 | 2022 | 15 | |
| 8 | 2025 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2025 | 9 | |
| 12 | 2025 | 8 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2026 | 1 |
About Brian Coventry
Brian Coventry is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemical Synthesis and Analysis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Infectious Diseases (273 citations), Molecular Biology (742 citations), Computational Theory and Mathematics (132 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Biotechnology (44 citations). Brian Coventry has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include David Baker, Inna Goreshnik, Longxing Cao, Lauren Carter, Lance Stewart, Michael Diamond, L. M. Miller, James Brett Case, David Veesler and Young‐Jun Park. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Science, Cell Research and Nature Methods.
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.