Ronan Chéreau
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
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- Neuroscience and Neural Engineering 6
- Neuroscience and Neuropharmacology Research 3
- Photoreceptor and optogenetics research 3
- Neurobiology and Insect Physiology Research 1
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- Neural dynamics and brain function 6
- Co-authors
- U. Valentin Nägerl (6 shared papers)Philipp Bethge (2 shared papers)Giovanni Marsicano (1 shared paper)Elena Avignone (1 shared paper)Daniel Cattaert (1 shared paper)Julie Angibaud (2 shared papers)G. Ezequiel Saraceno (1 shared paper)Jan Tønnesen (2 shared papers)
- Journals
- Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Methods (1 paper)Current Biology (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- SwitzerlandFranceItaly
In The Last Decade
Ronan Chéreau
11 papers receiving 318 citations
Peers
Comparison fields: 5 of 52
- Structural Biology 67
- Biophysics 129
- Cellular and Molecular Neuroscience 134
- Developmental Neuroscience 22
- Cognitive Neuroscience 93
Countries citing papers authored by Ronan Chéreau
This map shows the geographic impact of Ronan Chéreau'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 Ronan Chéreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronan Chéreau more than expected).
Fields of papers citing papers by Ronan Chéreau
This network shows the impact of papers produced by Ronan Chéreau. 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 Ronan Chéreau. The network helps show where Ronan Chéreau may publish in the future.
Co-authors
The 25 scholars most cited alongside Ronan Chéreau, 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 | 2013 | 108 | |
| 2 | 2017 | 89 | |
| 3 | 2015 | 35 | |
| 4 | 2020 | 28 | |
| 5 | 2020 | 25 | |
| 6 | 2024 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2023 | 0 |
About Ronan Chéreau
Ronan Chéreau is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Molecular Biology and Structural Biology, having authored 12 papers that have together received 324 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (6 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Photoreceptor and optogenetics research (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Force Microscopy Techniques and Applications (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Structural Biology (67 citations), Biophysics (129 citations), Cellular and Molecular Neuroscience (134 citations), Developmental Neuroscience (22 citations) and Cognitive Neuroscience (93 citations). Ronan Chéreau has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include U. Valentin Nägerl, Philipp Bethge, Giovanni Marsicano, Elena Avignone, Daniel Cattaert, Julie Angibaud, G. Ezequiel Saraceno, Jan Tønnesen, Anthony Holtmaat and Stéphane Pagès. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Methods, Current Biology 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.