Martin Cottet

1.3k total citations
15 papers, 1.0k citations indexed

About

Martin Cottet is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Martin Cottet has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Social Psychology. Recurrent topics in Martin Cottet's work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (6 papers) and Neuroendocrine regulation and behavior (4 papers). Martin Cottet is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (6 papers) and Neuroendocrine regulation and behavior (4 papers). Martin Cottet collaborates with scholars based in France, Canada and United States. Martin Cottet's co-authors include Thierry Durroux, Eric Trinquet, Bernard Mouillac, Jean‐Philippe Pin, Jurriaan M. Zwier, Annie Castonguay, Yves De Koninck, Thomas Roux, Laura Albizu and Emmanuel Bourrier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Martin Cottet

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Cottet France 15 730 519 156 96 85 15 1.0k
M. Rives France 19 1.2k 1.7× 876 1.7× 167 1.1× 75 0.8× 62 0.7× 34 1.9k
Emmanuel Bourrier France 14 929 1.3× 529 1.0× 227 1.5× 104 1.1× 22 0.3× 16 1.6k
Kaleeckal G. Harikumar United States 28 1.8k 2.5× 1.2k 2.4× 183 1.2× 91 0.9× 56 0.7× 83 2.2k
Norbert Tinel France 11 1.1k 1.6× 661 1.3× 133 0.9× 59 0.6× 23 0.3× 11 1.4k
Damien Maurel France 23 1.9k 2.6× 1.3k 2.4× 280 1.8× 228 2.4× 27 0.3× 35 2.4k
Thomas Roux France 13 617 0.8× 341 0.7× 124 0.8× 34 0.4× 20 0.2× 19 1.0k
Michael P. Bokoch United States 14 1.7k 2.3× 1.0k 2.0× 280 1.8× 45 0.5× 60 0.7× 32 2.0k
Pascal Kessler France 21 924 1.3× 368 0.7× 21 0.1× 64 0.7× 62 0.7× 32 1.6k
Stephen Pasternak Canada 21 552 0.8× 177 0.3× 156 1.0× 112 1.2× 25 0.3× 63 1.6k
Seksiri Arttamangkul United States 20 1.1k 1.6× 1.1k 2.2× 45 0.3× 29 0.3× 37 0.4× 32 1.7k

Countries citing papers authored by Martin Cottet

Since Specialization
Citations

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

Fields of papers citing papers by Martin Cottet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Cottet. 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 Martin Cottet. The network helps show where Martin Cottet may publish in the future.

Co-authorship network of co-authors of Martin Cottet

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

All Works

15 of 15 papers shown
1.
Ferrini, Francesco, Jimena Pérez-Sánchez, Louis-Étienne Lorenzo, et al.. (2020). Differential chloride homeostasis in the spinal dorsal horn locally shapes synaptic metaplasticity and modality-specific sensitization. Nature Communications. 11(1). 3935–3935. 38 indexed citations
2.
Levoye, Angélique, Jurriaan M. Zwier, Martin Cottet, et al.. (2015). A Broad G Protein-Coupled Receptor Internalization Assay that Combines SNAP-Tag Labeling, Diffusion-Enhanced Resonance Energy Transfer, and a Highly Emissive Terbium Cryptate. Frontiers in Endocrinology. 6. 167–167. 54 indexed citations
3.
Ford, Amanda, Annie Castonguay, Martin Cottet, et al.. (2015). Engagement of the GABA to KCC2 Signaling Pathway Contributes to the Analgesic Effects of A3AR Agonists in Neuropathic Pain. Journal of Neuroscience. 35(15). 6057–6067. 65 indexed citations
4.
Faklaris, Orestis, Martin Cottet, Jurriaan M. Zwier, et al.. (2015). Multicolor time‐resolved Förster resonance energy transfer microscopy reveals the impact of GPCR oligomerization on internalization processes. The FASEB Journal. 29(6). 2235–2246. 35 indexed citations
5.
Cottet, Martin, et al.. (2014). Extended two-photon microscopy in live samples with Bessel beams: steadier focus, faster volume scans, and simpler stereoscopic imaging. Frontiers in Cellular Neuroscience. 8. 139–139. 74 indexed citations
6.
Fernández‐Dueñas, Víctor, Jaume Taura, Martin Cottet, et al.. (2014). Untangling dopamine-adenosine receptor assembly in experimental parkinsonism. Disease Models & Mechanisms. 8(1). 57–63. 46 indexed citations
7.
Cottet, Martin, Orestis Faklaris, Eric Trinquet, et al.. (2013). Fluorescent ligands to investigate GPCR binding properties and oligomerization. Biochemical Society Transactions. 41(1). 148–153. 22 indexed citations
8.
Cottet, Martin, Orestis Faklaris, Damien Maurel, et al.. (2012). BRET and Time-resolved FRET strategy to study GPCR oligomerization: from cell lines toward native tissues. Frontiers in Endocrinology. 3. 92–92. 59 indexed citations
9.
Rahmeh, Rita, Marjorie Damian, Martin Cottet, et al.. (2012). Structural insights into biased G protein-coupled receptor signaling revealed by fluorescence spectroscopy. Proceedings of the National Academy of Sciences. 109(17). 6733–6738. 151 indexed citations
10.
Cottet, Martin, Hélène Orcel, Hélène Adihou, et al.. (2012). Selective Fluorescent Nonpeptidic Antagonists For Vasopressin V2GPCR: Application To Ligand Screening and Oligomerization Assays.. Journal of Medicinal Chemistry. 55(20). 8588–8602. 45 indexed citations
11.
Cottet, Martin, Laura Albizu, Laëtitia Comps‐Agrar, et al.. (2011). Time Resolved FRET Strategy with Fluorescent Ligands to Analyze Receptor Interactions in Native Tissues: Application to GPCR Oligomerization. Methods in molecular biology. 746. 373–387. 21 indexed citations
12.
Cottet, Martin, Orestis Faklaris, Jurriaan M. Zwier, et al.. (2011). Original Fluorescent Ligand-Based Assays Open New Perspectives in G-Protein Coupled Receptor Drug Screening. Pharmaceuticals. 4(1). 202–214. 22 indexed citations
13.
Albizu, Laura, Martin Cottet, Michaela Králíková, et al.. (2010). Time-resolved FRET between GPCR ligands reveals oligomers in native tissues. Nature Chemical Biology. 6(8). 587–594. 262 indexed citations
14.
Zwier, Jurriaan M., Thomas Roux, Martin Cottet, et al.. (2010). A Fluorescent Ligand-Binding Alternative Using Tag-lite® Technology. SLAS DISCOVERY. 15(10). 1248–1259. 115 indexed citations
15.
Cottet, Martin, Laura Albizu, Frédéric Jean‐Alphonse, et al.. (2009). Past, present and future of vasopressin and oxytocin receptor oligomers, prototypical GPCR models to study dimerization processes. Current Opinion in Pharmacology. 10(1). 59–66. 40 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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