David W. Ritchie
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Structural Biology top 5%
Papers in
-
- Protein Structure and Dynamics 34
- Machine Learning in Bioinformatics 7
- Bioinformatics and Genomic Networks 6
- Receptor Mechanisms and Signaling 4
-
- Enzyme Structure and Function 18
- Co-authors
- Vishwesh Venkatraman (13 shared papers)Graham J. Kemp (5 shared papers)Lazaros Mavridis (12 shared papers)Marie‐Dominique Devignes (11 shared papers)Violeta I. Pérez‐Nueno (15 shared papers)Sándor Vajda (2 shared papers)Dima Kozakov (2 shared papers)Anisah W. Ghoorah (8 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (11 papers)Journal of Chemical Information and Modeling (10 papers)Bioinformatics (7 papers)BMC Bioinformatics (3 papers)Journal of Applied Crystallography (2 papers)
- Partner nations
- FranceUnited KingdomAustria
In The Last Decade
David W. Ritchie
69 papers receiving 3.5k citations
David W. Ritchie's Hit Papers
Peers
Comparison fields: 5 of 153
- Computational Theory and Mathematics 843
- Structural Biology 51
- Molecular Biology 2.3k
- Virology 84
- Oncology 388
Countries citing papers authored by David W. Ritchie
This map shows the geographic impact of David W. Ritchie'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. Ritchie 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. Ritchie more than expected).
Fields of papers citing papers by David W. Ritchie
This network shows the impact of papers produced by David W. Ritchie. 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. Ritchie. The network helps show where David W. Ritchie may publish in the future.
Co-authors
The 25 scholars most cited alongside David W. Ritchie, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HexServer: an FFT-based protein docking server powered by graphics processors Hit paper breakdown → | 2010 | 519 |
| 2 | 2000 | 463 | |
| 3 | 2010 | 302 | |
| 4 | 2008 | 249 | |
| 5 | 2005 | 209 | |
| 6 | 2003 | 175 | |
| 7 | 2008 | 155 | |
| 8 | 2000 | 148 | |
| 9 | 1999 | 147 | |
| 10 | 2010 | 107 | |
| 11 | 2013 | 102 | |
| 12 | 2017 | 57 | |
| 13 | 2008 | 55 | |
| 14 | 2007 | 52 | |
| 15 | 2012 | 44 | |
| 16 | 2016 | 44 | |
| 17 | 2016 | 42 | |
| 18 | 2015 | 38 | |
| 19 | 2005 | 35 | |
| 20 | 2011 | 33 |
About David W. Ritchie
David W. Ritchie is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Virology and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (34 papers), Enzyme Structure and Function (18 papers), Computational Drug Discovery Methods (17 papers), Machine Learning in Bioinformatics (7 papers), HIV Research and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Bioinformatics and Genomic Networks (6 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Computational Theory and Mathematics (843 citations), Structural Biology (51 citations), Molecular Biology (2.3k citations), Virology (84 citations) and Oncology (388 citations). David W. Ritchie has collaborated with scholars based in France, United Kingdom and Austria. Frequent co-authors include Vishwesh Venkatraman, Graham J. Kemp, Lazaros Mavridis, Marie‐Dominique Devignes, Violeta I. Pérez‐Nueno, Sándor Vajda, Dima Kozakov, Anisah W. Ghoorah, Malika Smaïl‐Tabbone and Gwyneth Bertram. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Chemical Information and Modeling, Bioinformatics, BMC Bioinformatics and Journal of Applied Crystallography.
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.