Nathan David Wright
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Computational Drug Discovery Methods 4
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- Protein Structure and Dynamics 3
- Biochemical and Structural Characterization 1
- Co-authors
- Tobias J. Krojer (2 shared papers)P.M. Collins (2 shared papers)Frank von Delft (2 shared papers)R. Talon (2 shared papers)J. Brandão-Neto (1 shared paper)A. Douangamath (1 shared paper)Nicholas M. Pearce (1 shared paper)L. Koekemoer (1 shared paper)
- Journals
- Acta Crystallographica Section D Structural Biology (2 papers)Science (1 paper)Cell stem cell (1 paper)Cell (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomSouth AfricaUnited States
In The Last Decade
Nathan David Wright
8 papers receiving 471 citations
Nathan David Wright's Hit Papers
Peers
Comparison fields: 5 of 83
- Structural Biology 11
- Infectious Diseases 129
- Computational Theory and Mathematics 104
- Molecular Biology 222
- Virology 13
Countries citing papers authored by Nathan David Wright
This map shows the geographic impact of Nathan David Wright'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 Nathan David Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan David Wright more than expected).
Fields of papers citing papers by Nathan David Wright
This network shows the impact of papers produced by Nathan David Wright. 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 Nathan David Wright. The network helps show where Nathan David Wright may publish in the future.
Co-authors
The 16 scholars most cited alongside Nathan David Wright, 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 | 2021 | 195 | |
| 2 | Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors Hit paper breakdown → | 2023 | 118 |
| 3 | 2017 | 78 | |
| 4 | 2020 | 36 | |
| 5 | 2024 | 22 | |
| 6 | 2023 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2025 | 2 | |
| 9 | 2025 | 0 |
About Nathan David Wright
Nathan David Wright is a scholar working on Computational Theory and Mathematics, Molecular Biology, Infectious Diseases, Nephrology and Materials Chemistry, having authored 9 papers that have together received 485 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (3 papers), Viral gastroenteritis research and epidemiology (1 paper), Biochemical and Structural Characterization (1 paper), Complement system in diseases (1 paper), Malaria Research and Control (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Structural Biology (11 citations), Infectious Diseases (129 citations), Computational Theory and Mathematics (104 citations), Molecular Biology (222 citations) and Virology (13 citations). Nathan David Wright has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include Tobias J. Krojer, P.M. Collins, Frank von Delft, R. Talon, J. Brandão-Neto, A. Douangamath, Nicholas M. Pearce, L. Koekemoer, Radosław P. Nowak and Joseph Newman. Their work appears in journals such as Acta Crystallographica Section D Structural Biology, Science, Cell stem cell, Cell and Scientific Reports.
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.