John J. Irwin
- Molecular Biology top 0.2%
- Computational Theory and Mathematics top 0.01%
- Organic Chemistry top 0.5%
- Materials Chemistry top 2%
- Pharmacology top 0.1%
- Co-authors
- Brian K. ShoichetTeague SterlingMichael M. MysingerBryan L. RothMichael J. KeiserRyan G. ColemanNiu HuangErin S. D. Bolstad
- Topics
- Computational Drug Discovery Methods (50 papers)Chemical Synthesis and Analysis (20 papers)Receptor Mechanisms and Signaling (17 papers)
- Partner nations
- United StatesUkraineCanada
In The Last Decade
John J. Irwin
85 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Molecular Biology 13.3k
- Computational Theory and Mathematics 11.3k
- Organic Chemistry 2.8k
- Materials Chemistry 2.8k
- Pharmacology 2.6k
Countries citing papers authored by John J. Irwin
This map shows the geographic impact of John J. Irwin'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 John J. Irwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Irwin more than expected).
Fields of papers citing papers by John J. Irwin
This network shows the impact of papers produced by John J. Irwin. 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 John J. Irwin. The network helps show where John J. Irwin may publish in the future.
Co-authorship network of co-authors of John J. Irwin
This figure shows the co-authorship network connecting the top 25 collaborators of John J. Irwin. A scholar is included among the top collaborators of John J. Irwin 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 John J. Irwin. John J. Irwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 19 | |
| 3 | 17 | |
| 4 | 135 | |
| 5 | A practical guide to large-scale dockingbreakdown → | 310 |
| 6 | 68 | |
| 7 | 63 | |
| 8 | 208 | |
| 9 | 6 | |
| 10 | 141 | |
| 11 | 78 | |
| 12 | 134 | |
| 13 | ZINC: A Free Tool to Discover Chemistry for Biologybreakdown → | 1902 |
| 14 | 104 | |
| 15 | 190 | |
| 16 | 51 | |
| 17 | Predicting new molecular targets for known drugsbreakdown → | 1251 |
| 18 | 93 | |
| 19 | 34 | |
| 20 | Docking and Drug Discovery | 6 |
About John J. Irwin
John J. Irwin is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology, having authored 87 papers that have together received 20.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (50 papers), Chemical Synthesis and Analysis (20 papers) and Receptor Mechanisms and Signaling (17 papers). The work is most often cited by research in Computational Theory and Mathematics (11.3k citations), Molecular Biology (13.3k citations) and Pharmacology (2.6k citations). John J. Irwin has collaborated with scholars based in United States, Ukraine and Canada. Frequent co-authors include Brian K. Shoichet, Teague Sterling, Michael M. Mysinger, Bryan L. Roth, Michael J. Keiser, Ryan G. Coleman, Niu Huang, Erin S. D. Bolstad, Blaine N. Armbruster and Paul Ernsberger. Their work appears in journals such as Nature, Science and Cell.
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.