Thomas Coudrat
Impact in
- Structural Biology top 5%
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Receptor Mechanisms and Signaling 10
- Protein Structure and Dynamics 2
- Protein Kinase Regulation and GTPase Signaling 2
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- Neuropeptides and Animal Physiology 6
- Co-authors
- Patrick M. Sexton (10 shared papers)Arthur Christopoulos (10 shared papers)J. Robert Lane (3 shared papers)Meritxell Canals (3 shared papers)Denise Wootten (7 shared papers)Sebastian G. B. Furness (3 shared papers)Laurence J. Miller (3 shared papers)Jeffrey Tarrasch (1 shared paper)
- Journals
- Molecular Pharmacology (2 papers)Journal of Chemical Information and Modeling (2 papers)Biochemical Pharmacology (1 paper)Nature Communications (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Thomas Coudrat
11 papers receiving 881 citations
Thomas Coudrat's Hit Papers
Peers
Comparison fields: 5 of 68
- Structural Biology 53
- Cellular and Molecular Neuroscience 517
- Molecular Biology 770
- Endocrinology, Diabetes and Metabolism 106
- Radiology, Nuclear Medicine and Imaging 117
Countries citing papers authored by Thomas Coudrat
This map shows the geographic impact of Thomas Coudrat'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 Thomas Coudrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Coudrat more than expected).
Fields of papers citing papers by Thomas Coudrat
This network shows the impact of papers produced by Thomas Coudrat. 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 Thomas Coudrat. The network helps show where Thomas Coudrat may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Coudrat, 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 | Phase-plate cryo-EM structure of a class B GPCR–G-protein complex Hit paper breakdown → | 2017 | 370 |
| 2 | 2016 | 268 | |
| 3 | 2015 | 81 | |
| 4 | 2015 | 52 | |
| 5 | 2016 | 45 | |
| 6 | 2018 | 42 | |
| 7 | 2017 | 8 | |
| 8 | 2017 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2016 | 6 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 |
About Thomas Coudrat
Thomas Coudrat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 886 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Diabetes Treatment and Management (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Structural Biology (53 citations), Cellular and Molecular Neuroscience (517 citations), Molecular Biology (770 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Radiology, Nuclear Medicine and Imaging (117 citations). Thomas Coudrat has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Patrick M. Sexton, Arthur Christopoulos, J. Robert Lane, Meritxell Canals, Denise Wootten, Sebastian G. B. Furness, Laurence J. Miller, Jeffrey Tarrasch, David A. Sykes and Yi-Lynn Liang. Their work appears in journals such as Molecular Pharmacology, Journal of Chemical Information and Modeling, Biochemical Pharmacology, Nature Communications and PLoS Computational 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.