Quentin Chevy
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Developmental Neuroscience top 10%
Papers in
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- Neuroscience and Neuropharmacology Research 8
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- Receptor Mechanisms and Signaling 3
- Ion channel regulation and function 3
- Mitochondrial Function and Pathology 2
- Co-authors
- Jean Christophe Poncer (6 shared papers)Sabine Lévi (4 shared papers)Ingrid Chamma (2 shared papers)Brian Billups (1 shared paper)Imane Moutkine (2 shared papers)Emmanuel Eugène (2 shared papers)Marianne Renner (1 shared paper)Carolina Cabezas (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Redox Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Physiology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- FranceUnited StatesHungary
In The Last Decade
Quentin Chevy
9 papers receiving 484 citations
Quentin Chevy's Hit Papers
Peers
Comparison fields: 5 of 59
- Cellular and Molecular Neuroscience 362
- Developmental Neuroscience 33
- Neurology 64
- Biological Psychiatry 11
- Cognitive Neuroscience 83
Countries citing papers authored by Quentin Chevy
This map shows the geographic impact of Quentin Chevy'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 Quentin Chevy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quentin Chevy more than expected).
Fields of papers citing papers by Quentin Chevy
This network shows the impact of papers produced by Quentin Chevy. 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 Quentin Chevy. The network helps show where Quentin Chevy may publish in the future.
Co-authors
The 25 scholars most cited alongside Quentin Chevy, 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 | 2011 | 105 | |
| 2 | 2013 | 96 | |
| 3 | 2012 | 87 | |
| 4 | 2017 | 80 | |
| 5 | 2015 | 59 | |
| 6 | 2022 | 26 | |
| 7 | A neuroimmune circuit mediates cancer cachexia-associated apathy Hit paper breakdown → | 2025 | 23 |
| 8 | 2021 | 8 | |
| 9 | 2020 | 3 | |
| 10 | 2025 | 0 |
About Quentin Chevy
Quentin Chevy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Psychiatry and Mental health, having authored 10 papers that have together received 487 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (3 papers), Mitochondrial Function and Pathology (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neural dynamics and brain function (2 papers), Cancer, Stress, Anesthesia, and Immune Response (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (362 citations), Developmental Neuroscience (33 citations), Neurology (64 citations), Biological Psychiatry (11 citations) and Cognitive Neuroscience (83 citations). Quentin Chevy has collaborated with scholars based in France, United States and Hungary. Frequent co-authors include Jean Christophe Poncer, Sabine Lévi, Ingrid Chamma, Brian Billups, Imane Moutkine, Emmanuel Eugène, Marianne Renner, Carolina Cabezas, Grégory Gauvain and Théano Irinopoulou. Their work appears in journals such as Journal of Neuroscience, Redox Biology, Proceedings of the National Academy of Sciences, The Journal of Physiology and Nature Neuroscience.
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.