Roger A. Sayle
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 14
- Molecular Biology top 2%
- Biomedical Text Mining and Ontologies 7
- Protein Structure and Dynamics 6
- Machine Learning in Bioinformatics 4
- Materials Chemistry top 5%
- Enzyme Structure and Function 6
- Machine Learning in Materials Science 3
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography 5
- Molecular spectroscopy and chirality 5
- Organic Chemistry top 5%
- Co-authors
- Daniel M. LoweNadine SchneiderGregory A. LandrumNoel M. O’BoyleMichael A. TarselliJohn W. MayfieldJennifer J. YoungJohn J. Irwin
- Journals
- PLoS ONE (1 paper)Journal of Molecular Biology (1 paper)Trends in Biochemical Sciences (1 paper)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
Roger A. Sayle
29 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computational Theory and Mathematics 959
- Molecular Biology 2.6k
- Materials Chemistry 1.1k
- Spectroscopy 240
- Organic Chemistry 406
Countries citing papers authored by Roger A. Sayle
This map shows the geographic impact of Roger A. Sayle'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 Roger A. Sayle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger A. Sayle more than expected).
Fields of papers citing papers by Roger A. Sayle
This network shows the impact of papers produced by Roger A. Sayle. 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 Roger A. Sayle. The network helps show where Roger A. Sayle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roger A. Sayle, 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 | ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discoverybreakdown → | 2020 | 556 |
| 2 | 2016 | 172 | |
| 3 | 2016 | 18 | |
| 4 | 2016 | 328 | |
| 5 | 2015 | 49 | |
| 6 | 2014 | 38 | |
| 7 | 2014 | 1 | |
| 8 | 2014 | 128 | |
| 9 | 2012 | 9 | |
| 10 | 2011 | 15 | |
| 11 | 2008 | 13 | |
| 12 | 2006 | 6 | |
| 13 | 2006 | 43 | |
| 14 | 1998 | 52 | |
| 15 | 1997 | 50 | |
| 16 | 1997 | 160 | |
| 17 | RASMOL: biomolecular graphics for allbreakdown → | 1995 | 2116 |
| 18 | 1995 | 5 | |
| 19 | RasMol v2.5 - Molecular Visualisation Program | 1994 | 7 |
| 20 | 1994 | 12 |
About Roger A. Sayle
Roger A. Sayle is a scholar working on Computational Theory and Mathematics, Spectroscopy and Molecular Biology, having authored 29 papers that have together received 4.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Biomedical Text Mining and Ontologies (7 papers), Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (6 papers), Analytical Chemistry and Chromatography (5 papers), Molecular spectroscopy and chirality (5 papers), Machine Learning in Bioinformatics (4 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Computational Theory and Mathematics (959 citations), Molecular Biology (2.6k citations) and Materials Chemistry (1.1k citations). Roger A. Sayle has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Daniel M. Lowe, Nadine Schneider, Gregory A. Landrum, Noel M. O’Boyle, Michael A. Tarselli, John W. Mayfield, Jennifer J. Young, John J. Irwin, Yurii S. Moroz and Khanh Tang. Their work appears in journals such as PLoS ONE, Journal of Molecular Biology and Trends in Biochemical Sciences.
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.