Teague Sterling
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Receptor Mechanisms and Signaling
- Bioinformatics and Genomic Networks
Papers in
-
- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 2
-
- Computational Drug Discovery Methods 7
- Co-authors
- John J. Irwin (5 shared papers)Ryan G. Coleman (3 shared papers)Michael M. Mysinger (2 shared papers)Erin S. D. Bolstad (1 shared paper)Brian K. Shoichet (2 shared papers)Da Duan (1 shared paper)Allison K. Doak (1 shared paper)Hayarpi Torosyan (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (3 papers)Nature Communications (1 paper)Journal of Medicinal Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)ACS Chemical Biology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Teague Sterling
9 papers receiving 4.8k citations
Teague Sterling's Hit Papers
Peers
Comparison fields: 5 of 154
- Computational Theory and Mathematics 2.4k
- Molecular Biology 2.8k
- Pharmacology 517
- Pharmacology 197
- Infectious Diseases 376
Countries citing papers authored by Teague Sterling
This map shows the geographic impact of Teague Sterling'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 Teague Sterling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teague Sterling more than expected).
Fields of papers citing papers by Teague Sterling
This network shows the impact of papers produced by Teague Sterling. 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 Teague Sterling. The network helps show where Teague Sterling may publish in the future.
Co-authors
The 25 scholars most cited alongside Teague Sterling, 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 | ZINC 15 – Ligand Discovery for Everyone Hit paper breakdown → | 2015 | 2276 |
| 2 | ZINC: A Free Tool to Discover Chemistry for Biology Hit paper breakdown → | 2012 | 1932 |
| 3 | An Aggregation Advisor for Ligand Discovery Hit paper breakdown → | 2015 | 335 |
| 4 | 2013 | 146 | |
| 5 | 2018 | 61 | |
| 6 | 2015 | 45 | |
| 7 | 2017 | 38 | |
| 8 | 2021 | 19 | |
| 9 | 2014 | 17 |
About Teague Sterling
Teague Sterling is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Genetics and Infectious Diseases, having authored 9 papers that have together received 4.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Genomics and Rare Diseases (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Computational Theory and Mathematics (2.4k citations), Molecular Biology (2.8k citations), Pharmacology (517 citations), Pharmacology (197 citations) and Infectious Diseases (376 citations). Teague Sterling has collaborated with scholars based in United States and Canada. Frequent co-authors include John J. Irwin, Ryan G. Coleman, Michael M. Mysinger, Erin S. D. Bolstad, Brian K. Shoichet, Da Duan, Allison K. Doak, Hayarpi Torosyan, Sarah Barelier and Matthew J. O’Meara. Their work appears in journals such as Journal of Chemical Information and Modeling, Nature Communications, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences and ACS Chemical 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.