Quentin Perrenoud
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuropeptides and Animal Physiology
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Sleep and Wakefulness Research
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Neurobiology and Insect Physiology Research 2
- Neuroscience and Neural Engineering 1
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- Neural dynamics and brain function 7
- Memory and Neural Mechanisms 2
- Co-authors
- Thierry Gallopin (5 shared papers)Jean Rossier (4 shared papers)H Geoffroy (5 shared papers)Tania Vitalis (5 shared papers)Luc J. Gentet (1 shared paper)Cyriel M. A. Pennartz (1 shared paper)Armelle Rancillac (3 shared papers)Fabienne Alfonsi (1 shared paper)
- Journals
- Frontiers in Neural Circuits (2 papers)Cerebral Cortex (2 papers)Cell Reports (1 paper)Nature (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Quentin Perrenoud
10 papers receiving 308 citations
Peers
Comparison fields: 5 of 70
- Cellular and Molecular Neuroscience 184
- Cognitive Neuroscience 129
- Neurology 51
- Developmental Neuroscience 19
- Endocrine and Autonomic Systems 25
Countries citing papers authored by Quentin Perrenoud
This map shows the geographic impact of Quentin Perrenoud'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 Perrenoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quentin Perrenoud more than expected).
Fields of papers citing papers by Quentin Perrenoud
This network shows the impact of papers produced by Quentin Perrenoud. 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 Perrenoud. The network helps show where Quentin Perrenoud may publish in the future.
Co-authors
The 25 scholars most cited alongside Quentin Perrenoud, 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 | 2014 | 79 | |
| 2 | 2012 | 67 | |
| 3 | 2016 | 58 | |
| 4 | 2012 | 47 | |
| 5 | 2012 | 35 | |
| 6 | 2019 | 10 | |
| 7 | 2009 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 0 |
About Quentin Perrenoud
Quentin Perrenoud is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Neurology and Social Psychology, having authored 11 papers that have together received 309 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (3 papers), Neurobiology and Insect Physiology Research (2 papers), Memory and Neural Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (184 citations), Cognitive Neuroscience (129 citations), Neurology (51 citations), Developmental Neuroscience (19 citations) and Endocrine and Autonomic Systems (25 citations). Quentin Perrenoud has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Thierry Gallopin, Jean Rossier, H Geoffroy, Tania Vitalis, Luc J. Gentet, Cyriel M. A. Pennartz, Armelle Rancillac, Fabienne Alfonsi, Kim Q. and Amy Bernard. Their work appears in journals such as Frontiers in Neural Circuits, Cerebral Cortex, Cell Reports, Nature and PLoS ONE.
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.