Mathieu Letellier
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Structural Biology top 5%
Papers in
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- Neuroscience and Neuropharmacology Research 19
- Photoreceptor and optogenetics research 4
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- Lipid Membrane Structure and Behavior 5
- Retinal Development and Disorders 4
- Co-authors
- Hélène Budzinski (8 shared papers)Yukiko Goda (6 shared papers)Olivier Thoumine (11 shared papers)Nathalia Vitureira (2 shared papers)Philippe Garrigues (3 shared papers)Daniel Choquet (4 shared papers)Matthieu Sainlos (5 shared papers)Béatrice Tessier (7 shared papers)
In The Last Decade
Mathieu Letellier
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 552
- Structural Biology 37
- Developmental Neuroscience 98
- Analytical Chemistry 188
- Neurology 146
Countries citing papers authored by Mathieu Letellier
This map shows the geographic impact of Mathieu Letellier'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 Letellier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Letellier more than expected).
Fields of papers citing papers by Mathieu Letellier
This network shows the impact of papers produced by Mathieu Letellier. 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 Letellier. The network helps show where Mathieu Letellier may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Letellier, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 219 | |
| 2 | 2018 | 127 | |
| 3 | 2016 | 115 | |
| 4 | 2011 | 102 | |
| 5 | 2016 | 88 | |
| 6 | 1999 | 78 | |
| 7 | 2011 | 61 | |
| 8 | 2014 | 56 | |
| 9 | 1999 | 51 | |
| 10 | 2018 | 43 | |
| 11 | 2001 | 37 | |
| 12 | 2000 | 32 | |
| 13 | 1999 | 32 | |
| 14 | 1999 | 29 | |
| 15 | 2003 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2022 | 21 | |
| 18 | 2008 | 21 | |
| 19 | 2012 | 21 | |
| 20 | 1996 | 21 |
About Mathieu Letellier
Mathieu Letellier is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Analytical Chemistry, Neurology and Developmental Neuroscience, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Analytical chemistry methods development (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Lipid Membrane Structure and Behavior (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Analytical Chemistry and Chromatography (4 papers), Photoreceptor and optogenetics research (4 papers) and Retinal Development and Disorders (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (552 citations), Structural Biology (37 citations), Developmental Neuroscience (98 citations), Analytical Chemistry (188 citations) and Neurology (146 citations). Mathieu Letellier has collaborated with scholars based in France, Japan and Australia. Frequent co-authors include Hélène Budzinski, Yukiko Goda, Olivier Thoumine, Nathalia Vitureira, Philippe Garrigues, Daniel Choquet, Matthieu Sainlos, Béatrice Tessier, Karyn Le Ménach and Ingrid Chamma. Their work appears in journals such as Nature Communications, eLife, Proceedings of the National Academy of Sciences, European Journal of Neuroscience 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.