Kevin M. Thewlis

1.1k citations
18 papers · 485 indexed · h-index 12
Topics
Receptor Mechanisms and Signaling (13 papers)Neurotransmitter Receptor Influence on Behavior (7 papers)Pharmacological Receptor Mechanisms and Effects (6 papers)

In The Last Decade

Kevin M. Thewlis

18 papers receiving 452 citations

Peers

Kevin M. Thewlis
Comparison fields: 5 of 60
  • Molecular Biology 315
  • Cellular and Molecular Neuroscience 259
  • Organic Chemistry 123
  • Computational Theory and Mathematics 50
  • Pharmacology 30
Replace D. Malcolm Duckworth with:
D. Malcolm Duckworth United Kingdom
Bernard Levet‐Trafit Switzerland
Nigel Austin United Kingdom
Steven Dabbs United States
Piero Angeli Italy
Kerry L. Chapman United Kingdom
Klaus P. Bøgesø Denmark
Michelle Vanase‐Frawley United States
Abd M. Ismaiel United States
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Citations per field
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Citations per year

Countries citing papers authored by Kevin M. Thewlis

Since Specialization
Citations

This map shows the geographic impact of Kevin M. Thewlis'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 Kevin M. Thewlis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin M. Thewlis more than expected).

Fields of papers citing papers by Kevin M. Thewlis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Thewlis. 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 Kevin M. Thewlis. The network helps show where Kevin M. Thewlis may publish in the future.

Co-authorship network of co-authors of Kevin M. Thewlis

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Thewlis. A scholar is included among the top collaborators of Kevin M. Thewlis 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 Kevin M. Thewlis. Kevin M. Thewlis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 9
2 57
3 7
4 9
5 6
6 12
7 13
8 18
9 52
10 13
11 15
12 110
13 5
14 15
15 6
16 53
17 72
18 13

About Kevin M. Thewlis

Kevin M. Thewlis is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Pharmacology, having authored 18 papers that have together received 485 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Pharmacological Receptor Mechanisms and Effects (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (259 citations), Molecular Biology (315 citations) and Pharmaceutical Science (27 citations). Kevin M. Thewlis has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Geoffrey Stemp, Martyn Wood, Philip D. Jeffrey, Nigel Austin, Graham J. Riley, Antonio Vong, Michael S. Hadley, Frank E. Blaney, Izzy Boyfield and Christopher N. Johnson. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.

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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