Thomas Coudrat

1.1k total citations · 1 hit paper
10 papers, 868 citations indexed

About

Thomas Coudrat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas Coudrat has authored 10 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas Coudrat's work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Thomas Coudrat is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Thomas Coudrat collaborates with scholars based in Australia, United States and United Kingdom. Thomas Coudrat's co-authors include Arthur Christopoulos, Patrick M. Sexton, J. Robert Lane, Meritxell Canals, Denise Wootten, Sebastian G. B. Furness, Laurence J. Miller, Carmen Klein Herenbrink, Jeremy Shonberg and Prashant Donthamsetti and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Thomas Coudrat

10 papers receiving 860 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Phase-plate cryo-EM structure of a class B GPCR–G-protein complex

2017 362 citations Yi-Lynn Liang, Maryam Khoshouei et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thomas Coudrat Australia	8	773	524	118	108	81	10	868
Matthew Chu United States	3	652 0.8×	383 0.7×	98 0.8×	122 1.1×	48 0.6×	6	752
Bingfa Sun United States	10	1.3k 1.7×	615 1.2×	165 1.4×	235 2.2×	120 1.5×	11	1.5k
Tin T. Truong Australia	9	611 0.8×	337 0.6×	77 0.7×	239 2.2×	45 0.6×	9	704
Giuseppe Deganutti United Kingdom	17	907 1.2×	458 0.9×	78 0.7×	206 1.9×	173 2.1×	49	1.1k
Yi-Lynn Liang Australia	10	461 0.6×	281 0.5×	64 0.5×	107 1.0×	33 0.4×	11	546
Jo‐Anne Baltos Australia	16	722 0.9×	355 0.7×	78 0.7×	31 0.3×	86 1.1×	20	859
Yi-Lynn Liang Australia	11	1.3k 1.6×	713 1.4×	195 1.7×	277 2.6×	98 1.2×	11	1.4k
Carl‐Mikael Suomivuori United States	17	940 1.2×	590 1.1×	123 1.0×	38 0.4×	108 1.3×	21	1.2k
James Kean United Kingdom	7	639 0.8×	372 0.7×	148 1.3×	126 1.2×	98 1.2×	7	744
Kaavya Krishna Kumar United States	14	689 0.9×	394 0.8×	94 0.8×	40 0.4×	52 0.6×	21	991

Countries citing papers authored by Thomas Coudrat

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Coudrat

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

All Works

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10 of 10 papers shown

1.

Harikumar, Kaleeckal G., Thomas Coudrat, Aditya J. Desai, et al.. (2021). Discovery of a Positive Allosteric Modulator of Cholecystokinin Action at CCK1R in Normal and Elevated Cholesterol. Frontiers in Endocrinology. 12. 789957–789957. 5 indexed citations

2.

Lei, Saifei, Lachlan Clydesdale, Antao Dai, et al.. (2018). Two distinct domains of the glucagon-like peptide-1 receptor control peptide-mediated biased agonism. Journal of Biological Chemistry. 293(24). 9370–9387. 42 indexed citations

3.

Liang, Yi-Lynn, Maryam Khoshouei, Mazdak Radjainia, et al.. (2017). Phase-plate cryo-EM structure of a class B GPCR–G-protein complex. Nature. 546(7656). 118–123. 362 indexed citations breakdown →

4.

Coudrat, Thomas, Arthur Christopoulos, Patrick M. Sexton, & Denise Wootten. (2017). Structural features embedded in G protein-coupled receptor co-crystal structures are key to their success in virtual screening. PLoS ONE. 12(4). e0174719–e0174719. 8 indexed citations

5.

Coudrat, Thomas, John Simms, Arthur Christopoulos, Denise Wootten, & Patrick M. Sexton. (2017). Improving virtual screening of G protein-coupled receptors via ligand-directed modeling. PLoS Computational Biology. 13(11). e1005819–e1005819. 7 indexed citations

6.

Lane, J. Robert, et al.. (2016). Systematic analysis of factors influencing observations of biased agonism at the mu-opioid receptor. Biochemical Pharmacology. 113. 70–87. 43 indexed citations

7.

Herenbrink, Carmen Klein, David A. Sykes, Prashant Donthamsetti, et al.. (2016). The role of kinetic context in apparent biased agonism at GPCRs. Nature Communications. 7(1). 10842–10842. 264 indexed citations

8.

Coudrat, Thomas, et al.. (2016). Prediction of Loops in G Protein-Coupled Receptor Homology Models: Effect of Imprecise Surroundings and Constraints. Journal of Chemical Information and Modeling. 56(4). 671–686. 6 indexed citations

9.

Wootten, Denise, Christopher A. Reynolds, Cassandra Koole, et al.. (2015). A Hydrogen-Bonded Polar Network in the Core of the Glucagon-Like Peptide-1 Receptor Is a Fulcrum for Biased Agonism: Lessons from Class B Crystal Structures. Molecular Pharmacology. 89(3). 335–347. 52 indexed citations

10.

Lane, J. Robert, et al.. (2015). Biased Agonism of Endogenous Opioid Peptides at the μ-Opioid Receptor. Molecular Pharmacology. 88(2). 335–346. 79 indexed citations

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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