David W. Wright
Impact in
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- Computational Drug Discovery Methods
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- Scientific Computing and Data Management
Papers in
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- Computational Drug Discovery Methods 14
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- HIV/AIDS drug development and treatment 3
- Co-authors
- Peter V. Coveney (29 shared papers)Shunzhou Wan (11 shared papers)S. Kashif Sadiq (4 shared papers)Agastya P. Bhati (3 shared papers)Shantenu Jha (5 shared papers)Stephen J. Perkins (7 shared papers)Benjamin A. Hall (3 shared papers)Charlotte Mary Deane (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (5 papers)Journal of Chemical Theory and Computation (5 papers)Biochemical Journal (3 papers)Advanced Theory and Simulations (2 papers)Interface Focus (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
David W. Wright
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Computational Theory and Mathematics 336
- Information Systems and Management 23
- Molecular Biology 192
- Statistics, Probability and Uncertainty 17
- Physical and Theoretical Chemistry 15
Countries citing papers authored by David W. Wright
This map shows the geographic impact of David W. 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 David W. Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Wright more than expected).
Fields of papers citing papers by David W. Wright
This network shows the impact of papers produced by David W. 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 David W. Wright. The network helps show where David W. Wright may publish in the future.
Co-authors
The 25 scholars most cited alongside David W. 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 123 | |
| 2 | 2016 | 121 | |
| 3 | 2015 | 106 | |
| 4 | 2010 | 83 | |
| 5 | 2016 | 66 | |
| 6 | 2008 | 53 | |
| 7 | 2014 | 44 | |
| 8 | 2013 | 37 | |
| 9 | 2020 | 37 | |
| 10 | 2015 | 30 | |
| 11 | 2020 | 29 | |
| 12 | 2015 | 26 | |
| 13 | 2017 | 25 | |
| 14 | 2019 | 25 | |
| 15 | 2012 | 21 | |
| 16 | 2017 | 21 | |
| 17 | 2015 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2014 | 15 |
About David W. Wright
David W. Wright is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Molecular Biology, Immunology and Information Systems and Management, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), HIV/AIDS drug development and treatment (3 papers), Protein Structure and Dynamics (3 papers), Complement system in diseases (2 papers), Lung Cancer Treatments and Mutations (1 paper), RNA and protein synthesis mechanisms (1 paper), Receptor Mechanisms and Signaling (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (336 citations), Information Systems and Management (23 citations), Molecular Biology (192 citations), Statistics, Probability and Uncertainty (17 citations) and Physical and Theoretical Chemistry (15 citations). David W. Wright has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Peter V. Coveney, Shunzhou Wan, S. Kashif Sadiq, Agastya P. Bhati, Shantenu Jha, Stephen J. Perkins, Benjamin A. Hall, Charlotte Mary Deane, Bernhard Knapp and Stefan J. Zasada. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Chemical Theory and Computation, Biochemical Journal, Advanced Theory and Simulations and Interface Focus.
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.