Ryan G. Coleman
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 10%
- Organic Chemistry top 5%
- Pharmacology top 5%
- Co-authors
- John J. IrwinTeague SterlingErin S. D. BolstadMichael M. MysingerKim A. SharpBrian K. ShoichetAlan C. ChengAnna C. Salzberg
- Topics
- Protein Structure and Dynamics (8 papers)Computational Drug Discovery Methods (6 papers)Enzyme Structure and Function (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ryan G. Coleman
22 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.2k
- Computational Theory and Mathematics 1.6k
- Materials Chemistry 476
- Organic Chemistry 357
- Pharmacology 315
Countries citing papers authored by Ryan G. Coleman
This map shows the geographic impact of Ryan G. Coleman'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 Ryan G. Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan G. Coleman more than expected).
Fields of papers citing papers by Ryan G. Coleman
This network shows the impact of papers produced by Ryan G. Coleman. 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 Ryan G. Coleman. The network helps show where Ryan G. Coleman may publish in the future.
Co-authorship network of co-authors of Ryan G. Coleman
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan G. Coleman. A scholar is included among the top collaborators of Ryan G. Coleman 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 Ryan G. Coleman. Ryan G. Coleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 120 | |
| 2 | 17 | |
| 3 | 141 | |
| 4 | 18 | |
| 5 | ZINC: A Free Tool to Discover Chemistry for Biologybreakdown → | 1902 |
| 6 | 251 | |
| 7 | 62 | |
| 8 | 17 | |
| 9 | 44 | |
| 10 | Structure-based maximal affinity model predicts small-molecule druggabilitybreakdown → | 514 |
| 11 | 30 | |
| 12 | 69 | |
| 13 | 25 | |
| 14 | 29 | |
| 15 | Transformations and Algorithms for Least Sum of Squares Hypersphere Fitting | 2 |
| 16 | 64 | |
| 17 | 8 | |
| 18 | 14 | |
| 19 | Challenged by the small screen--responding to HIV-positive people on video in KwaZulu-Natal. | 1 |
| 20 | Pharmacoepidemiology of adverse drug reactions in hospitalized patients with human immunodeficiency virus disease. | 25 |
About Ryan G. Coleman
Ryan G. Coleman is a scholar working on Computational Theory and Mathematics, Toxicology and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 3.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (6 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Molecular Biology (2.2k citations) and Pharmacology (315 citations). Ryan G. Coleman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John J. Irwin, Teague Sterling, Erin S. D. Bolstad, Michael M. Mysinger, Kim A. Sharp, Brian K. Shoichet, Alan C. Cheng, Anna C. Salzberg, Patricia Soulard and Qing Cao. Their work appears in journals such as Nature Biotechnology, PLoS ONE and Journal of Molecular Biology.
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.