Simon J. Teague

4.3k citations
51 papers · 3.2k indexed · 3 hit papers · h-index 23

Impact in

Papers in

Simon J. Teague

50 papers receiving 3.0k citations

Hit Papers

Implications of protein flexibility for drug discovery 2003 · 548 citations
5481999202620082017200400600

Peers

Simon J. Teague
Comparison fields: 5 of 128
  • Computational Theory and Mathematics 1.1k
  • Organic Chemistry 1.1k
  • Molecular Biology 1.9k
  • Pharmacology 210
  • Toxicology 68
Replace Steven L. Dixon with:
Steven L. Dixon United States
G. Madhavi Sastry India
Joaquín M. Campos Rosa Spain
Michał Rostkowski Poland
Chresten R. Søndergaard Ireland
A. Geoffrey Skillman United States
Joseph P. Vacca United States
Shashidhar N. Rao United States
Michal Vieth United States
Markus A. Lill United States
Simon J. Teague relative to Steven L. Dixon United States Steven L. Dixon's profile →
Citations per field
00.5×
Steven L. Dixon · 1×
Citations per year

Countries citing papers authored by Simon J. Teague

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Simon J. Teague Line = papers co-authored together Simon J. Teague links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201715
2 20111
3 201129
4 201132
5 20109
6 20103
7 20091
8 200537
9
Implications of protein flexibility for drug discovery
Hit paper breakdown →
2003548
10 2003282
11 2002108
12 1999265
13 199927
14 199923
15 19990
16
The Design of Leadlike Combinatorial Libraries
Hit paper breakdown →
1999604
17 199724
18 19945
19 199330
20 19938

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.

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