Mathieu Cotton
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Neurobiology and Insect Physiology Research
Papers in
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- Receptor Mechanisms and Signaling 5
- Protein Kinase Regulation and GTPase Signaling 2
- Developmental Biology and Gene Regulation 2
- Pluripotent Stem Cells Research 1
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- Cellular transport and secretion 4
- Co-authors
- Audrey Claing (5 shared papers)Pierre-Luc Boulay (2 shared papers)Roland Le Borgne (2 shared papers)Grégory Dal Bo (1 shared paper)Najate Benhra (2 shared papers)Marc Danik (1 shared paper)Louis‐Éric Trudeau (1 shared paper)Sylvain Williams (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Current Biology (2 papers)Cellular Signalling (2 papers)The Lancet Oncology (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- CanadaFranceUnited Kingdom
In The Last Decade
Mathieu Cotton
9 papers receiving 570 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 185
- Cellular and Molecular Neuroscience 200
- Molecular Biology 370
- Immunology and Allergy 30
- Physiology 22
Countries citing papers authored by Mathieu Cotton
This map shows the geographic impact of Mathieu Cotton'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 Mathieu Cotton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Cotton more than expected).
Fields of papers citing papers by Mathieu Cotton
This network shows the impact of papers produced by Mathieu Cotton. 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 Mathieu Cotton. The network helps show where Mathieu Cotton may publish in the future.
Co-authors
The 18 scholars most cited alongside Mathieu Cotton, 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 | 2009 | 147 | |
| 2 | 2004 | 136 | |
| 3 | 2008 | 83 | |
| 4 | 2006 | 57 | |
| 5 | 2010 | 57 | |
| 6 | 2013 | 39 | |
| 7 | 2007 | 28 | |
| 8 | 2015 | 24 | |
| 9 | 2023 | 1 |
About Mathieu Cotton
Mathieu Cotton is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology, having authored 9 papers that have together received 572 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Cellular transport and secretion (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Developmental Biology and Gene Regulation (2 papers), Pluripotent Stem Cells Research (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Chromosomal and Genetic Variations (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cell Biology (185 citations), Cellular and Molecular Neuroscience (200 citations), Molecular Biology (370 citations), Immunology and Allergy (30 citations) and Physiology (22 citations). Mathieu Cotton has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Audrey Claing, Pierre-Luc Boulay, Roland Le Borgne, Grégory Dal Bo, Najate Benhra, Marc Danik, Louis‐Éric Trudeau, Sylvain Williams, Fannie St-Gelais and Paul Melançon. Their work appears in journals such as Journal of Biological Chemistry, Current Biology, Cellular Signalling, The Lancet Oncology and Molecular Biology of the Cell.
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.