Jérôme Côté
Impact in
- Pharmacology top 2%
- Apelin-related biomedical research
-
- Nuclear Receptors and Signaling
- Neuropeptides and Animal Physiology
Papers in
-
- Neuropeptides and Animal Physiology 16
- Nuclear Receptors and Signaling 10
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- Receptor Mechanisms and Signaling 7
- Chemical Synthesis and Analysis 5
- Co-authors
- Philippe Sarret (25 shared papers)Jean‐Michel Longpré (19 shared papers)Éric Marsault (15 shared papers)Martin Savard (10 shared papers)Fernand Gobeil (10 shared papers)Mannix Auger‐Messier (10 shared papers)Olivier Lesur (10 shared papers)Alexandre Murza (13 shared papers)
- Journals
- Journal of Medicinal Chemistry (9 papers)Pharmacological Research (3 papers)Peptides (3 papers)Biomedicine & Pharmacotherapy (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Jérôme Côté
41 papers receiving 918 citations
Peers
Comparison fields: 5 of 95
- Pharmacology 355
- Cellular and Molecular Neuroscience 338
- Genetics 164
- Physiology 29
- Surgery 249
Countries citing papers authored by Jérôme Côté
This map shows the geographic impact of Jérôme Côté'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 Jérôme Côté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Côté more than expected).
Fields of papers citing papers by Jérôme Côté
This network shows the impact of papers produced by Jérôme Côté. 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 Jérôme Côté. The network helps show where Jérôme Côté may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Côté, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 108 | |
| 2 | 2017 | 53 | |
| 3 | 2008 | 53 | |
| 4 | 2015 | 51 | |
| 5 | 2021 | 43 | |
| 6 | 2012 | 42 | |
| 7 | 2003 | 38 | |
| 8 | 2008 | 34 | |
| 9 | 2015 | 31 | |
| 10 | 2005 | 31 | |
| 11 | 2018 | 31 | |
| 12 | 2016 | 29 | |
| 13 | 2013 | 28 | |
| 14 | 2008 | 26 | |
| 15 | 2010 | 26 | |
| 16 | 2021 | 25 | |
| 17 | 2018 | 24 | |
| 18 | 2013 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2018 | 18 |
About Jérôme Côté
Jérôme Côté is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Surgery and Genetics, having authored 42 papers that have together received 928 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Apelin-related biomedical research (11 papers), Nuclear Receptors and Signaling (10 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Pain Mechanisms and Treatments (8 papers), Receptor Mechanisms and Signaling (7 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Pharmacology (355 citations), Cellular and Molecular Neuroscience (338 citations), Genetics (164 citations), Physiology (29 citations) and Surgery (249 citations). Jérôme Côté has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Philippe Sarret, Jean‐Michel Longpré, Éric Marsault, Martin Savard, Fernand Gobeil, Mannix Auger‐Messier, Olivier Lesur, Alexandre Murza, Robert Dumaine and Veronica Bovenzi. Their work appears in journals such as Journal of Medicinal Chemistry, Pharmacological Research, Peptides, Biomedicine & Pharmacotherapy and Journal of Cellular Physiology.
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.