Richard D. Taylor
- Molecular Biology top 2%
- Organic Chemistry top 0.5%
- Computational Theory and Mathematics top 0.1%
- Pharmacology top 1%
- Materials Chemistry top 10%
- Co-authors
- Alastair D. G. LawsonMalcolm MacCossChristopher W. MurrayMarcel L. VerdonkMichael J. HartshornJason C. ColeJonathan W. EssexPhilip J. Jewsbury
- Topics
- Computational Drug Discovery Methods (16 papers)Protein Structure and Dynamics (10 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Journals
- Chemical Society ReviewsScientific ReportsMonthly Notices of the Royal Astronomical Society
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Richard D. Taylor
28 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.4k
- Organic Chemistry 3.0k
- Computational Theory and Mathematics 2.1k
- Pharmacology 584
- Materials Chemistry 526
Countries citing papers authored by Richard D. Taylor
This map shows the geographic impact of Richard D. Taylor'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 Richard D. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard D. Taylor more than expected).
Fields of papers citing papers by Richard D. Taylor
This network shows the impact of papers produced by Richard D. Taylor. 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 Richard D. Taylor. The network helps show where Richard D. Taylor may publish in the future.
Co-authorship network of co-authors of Richard D. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Richard D. Taylor. A scholar is included among the top collaborators of Richard D. Taylor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard D. Taylor. Richard D. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 43 | |
| 6 | 36 | |
| 7 | 30 | |
| 8 | 53 | |
| 9 | Rings in Drugsbreakdown → | 2051 |
| 10 | 15 | |
| 11 | 275 | |
| 12 | 86 | |
| 13 | 10 | |
| 14 | 327 | |
| 15 | 63 | |
| 16 | Improved protein–ligand docking using GOLDbreakdown → | 2421 |
| 17 | A review of protein-small molecule docking methodsbreakdown → | 483 |
| 18 | 318 | |
| 19 | 14 | |
| 20 | 15 |
About Richard D. Taylor
Richard D. Taylor is a scholar working on Computational Theory and Mathematics, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 7.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (10 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Computational Theory and Mathematics (2.1k citations), Organic Chemistry (3.0k citations) and Molecular Biology (3.4k citations). Richard D. Taylor has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Alastair D. G. Lawson, Malcolm MacCoss, Christopher W. Murray, Marcel L. Verdonk, Michael J. Hartshorn, Jason C. Cole, Jonathan W. Essex, Philip J. Jewsbury, Robin Taylor and J. Willem M. Nissink. Their work appears in journals such as Chemical Society Reviews, Scientific Reports and Monthly Notices of the Royal Astronomical Society.
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.