Simon J. Teague
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Organic Chemistry top 2%
- Synthesis and biological activity
- Click Chemistry and Applications
Papers in
-
- Synthetic Organic Chemistry Methods 8
- Co-authors
- A. M. DavisTudor I. OpreaPaul D. LeesonGerard J. KleywegtGerald PattendenRobert AndrewsA. I. MEYERSMichael J. Stocks
- Journals
- Bioorganic & Medicinal Chemistry Letters (11 papers)Tetrahedron Letters (10 papers)Angewandte Chemie International Edition (4 papers)The Journal of Organic Chemistry (3 papers)Tetrahedron (2 papers)
- Partner nations
- United KingdomSwedenSingapore
In The Last Decade
Simon J. Teague
50 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Computational Theory and Mathematics 1.1k
- Organic Chemistry 1.1k
- Molecular Biology 1.9k
- Pharmacology 210
- Toxicology 68
Countries citing papers authored by Simon J. Teague
This map shows the geographic impact of Simon J. Teague'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 Simon J. Teague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon J. Teague more than expected).
Fields of papers citing papers by Simon J. Teague
This network shows the impact of papers produced by Simon J. Teague. 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 Simon J. Teague. The network helps show where Simon J. Teague may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon J. Teague, 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 | 2017 | 15 | |
| 2 | 2011 | 1 | |
| 3 | 2011 | 29 | |
| 4 | 2011 | 32 | |
| 5 | 2010 | 9 | |
| 6 | 2010 | 3 | |
| 7 | 2009 | 1 | |
| 8 | 2005 | 37 | |
| 9 | Implications of protein flexibility for drug discovery Hit paper breakdown → | 2003 | 548 |
| 10 | 2003 | 282 | |
| 11 | 2002 | 108 | |
| 12 | 1999 | 265 | |
| 13 | 1999 | 27 | |
| 14 | 1999 | 23 | |
| 15 | 1999 | 0 | |
| 16 | The Design of Leadlike Combinatorial Libraries Hit paper breakdown → | 1999 | 604 |
| 17 | 1997 | 24 | |
| 18 | 1994 | 5 | |
| 19 | 1993 | 30 | |
| 20 | 1993 | 8 |
About Simon J. Teague
Simon J. Teague is a scholar working on Organic Chemistry, Biochemistry, Toxicology, Biotechnology and Computational Theory and Mathematics, having authored 51 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (10 papers), Computational Drug Discovery Methods (9 papers), Synthetic Organic Chemistry Methods (8 papers), Signaling Pathways in Disease (6 papers), Marine Sponges and Natural Products (5 papers), Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Organic Chemistry (1.1k citations), Molecular Biology (1.9k citations), Pharmacology (210 citations) and Toxicology (68 citations). Simon J. Teague has collaborated with scholars based in United Kingdom, Sweden and Singapore. Frequent co-authors include A. M. Davis, Tudor I. Oprea, Paul D. Leeson, Gerard J. Kleywegt, Gerald Pattenden, Robert Andrews, A. I. MEYERS, Michael J. Stocks, Mark Bradley and Andrew Baxter. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Angewandte Chemie International Edition, The Journal of Organic Chemistry and Tetrahedron.
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.