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
- Chemical Synthesis and Analysis
Papers in
-
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 2
- RNA Research and Splicing 2
-
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- D. Baker (15 shared papers)Longxing Cao (3 shared papers)Lauren P. Carter (2 shared papers)Inna Goreshnik (4 shared papers)Lance J. Stewart (2 shared papers)David Veesler (1 shared paper)James Brett Case (1 shared paper)Rita E. Chen (1 shared paper)
- Journals
- Nature Communications (3 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Brian Coventry
16 papers receiving 1.2k citations
Brian Coventry's Hit Papers
Peers
Comparison fields: 5 of 86
- Infectious Diseases 282
- Molecular Biology 777
- Computational Theory and Mathematics 136
- Radiology, Nuclear Medicine and Imaging 153
- Biotechnology 51
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 | 484 |
| 2 | De novo design of luciferases using deep learning Hit paper breakdown → | 2023 | 303 |
| 3 | Improving de novo protein binder design with deep learning Hit paper breakdown → | 2023 | 192 |
| 4 | 2020 | 99 | |
| 5 | 2024 | 35 | |
| 6 | 2024 | 21 | |
| 7 | 2025 | 20 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 12 | |
| 10 | 2025 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2025 | 8 | |
| 13 | 2025 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2026 | 0 |
About Brian Coventry
Brian Coventry is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Biophysics and Materials Chemistry, having authored 17 papers that have together received 1.2k 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), SARS-CoV-2 and COVID-19 Research (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Chemical Synthesis and Analysis (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Infectious Diseases (282 citations), Molecular Biology (777 citations), Computational Theory and Mathematics (136 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Biotechnology (51 citations). Brian Coventry has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include D. Baker, Longxing Cao, Lauren P. Carter, Inna Goreshnik, Lance J. Stewart, David Veesler, James Brett Case, Rita E. Chen, Michael Diamond and Alexandra C. Walls. Their work appears in journals such as Nature Communications, Science, Proceedings of the National Academy of Sciences, Molecular Cell and Nature Structural & Molecular Biology.
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.