Séverine Mahon
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Neurotransmitter Receptor Influence on Behavior
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 31
- Neuroscience and Neural Engineering 14
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- Neural dynamics and brain function 31
- EEG and Brain-Computer Interfaces 4
- Co-authors
- Stéphane CharpierJean‐Michel DeniauMichael HäusserPaul ChaddertonMario ChávezYonatan LoewensteinYosef YaromSean Slaght
- Journals
- The Journal of Physiology (8 papers)Journal of Neuroscience (6 papers)Cerebral Cortex (3 papers)Neurobiology of Disease (2 papers)Progress in Neurobiology (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Séverine Mahon
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 1.3k
- Cognitive Neuroscience 1.1k
- Neurology 290
- Sensory Systems 136
- Neurology 278
Countries citing papers authored by Séverine Mahon
This map shows the geographic impact of Séverine Mahon'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 Séverine Mahon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Mahon more than expected).
Fields of papers citing papers by Séverine Mahon
This network shows the impact of papers produced by Séverine Mahon. 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 Séverine Mahon. The network helps show where Séverine Mahon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Séverine Mahon, 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 | 2024 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 11 | |
| 6 | 2016 | 3 | |
| 7 | 2016 | 33 | |
| 8 | 2015 | 2 | |
| 9 | 2013 | 31 | |
| 10 | 2009 | 96 | |
| 11 | 2009 | 48 | |
| 12 | 2007 | 221 | |
| 13 | 2006 | 136 | |
| 14 | 2004 | 72 | |
| 15 | 2003 | 40 | |
| 16 | 2003 | 18 | |
| 17 | 2001 | 120 | |
| 18 | 2000 | 37 | |
| 19 | 2000 | 29 | |
| 20 | 1999 | 89 |
About Séverine Mahon
Séverine Mahon is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Sensory Systems and Neurology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (31 papers), Neuroscience and Neuropharmacology Research (31 papers), Neuroscience and Neural Engineering (14 papers), EEG and Brain-Computer Interfaces (4 papers), Neurological disorders and treatments (4 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Ion channel regulation and function (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cognitive Neuroscience (1.1k citations), Neurology (290 citations), Sensory Systems (136 citations) and Neurology (278 citations). Séverine Mahon has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Stéphane Charpier, Jean‐Michel Deniau, Michael Häusser, Paul Chadderton, Mario Chávez, Yonatan Loewenstein, Yosef Yarom, Sean Slaght, Ede Rancz and Taro Ishikawa. Their work appears in journals such as The Journal of Physiology, Journal of Neuroscience, Cerebral Cortex, Neurobiology of Disease and Progress in Neurobiology.
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.