Stéphane Pagès
- Cellular and Molecular Neuroscience top 5%
- Physical and Theoretical Chemistry top 2%
- Cognitive Neuroscience top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Eric VautheyAnthony HoltmaatBernhard LangAlan CarletonOlivier NicoletFrédéric GambinoDaniela BaptistaRoberta Tatti
- Topics
- Photochemistry and Electron Transfer Studies (8 papers)Neural dynamics and brain function (7 papers)Spectroscopy and Quantum Chemical Studies (7 papers)
- Partner nations
- SwitzerlandFranceCanada
In The Last Decade
Stéphane Pagès
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 376
- Physical and Theoretical Chemistry 284
- Cognitive Neuroscience 229
- Atomic and Molecular Physics, and Optics 199
- Pathology and Forensic Medicine 164
Countries citing papers authored by Stéphane Pagès
This map shows the geographic impact of Stéphane Pagès'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 Stéphane Pagès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Pagès more than expected).
Fields of papers citing papers by Stéphane Pagès
This network shows the impact of papers produced by Stéphane Pagès. 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 Stéphane Pagès. The network helps show where Stéphane Pagès may publish in the future.
Co-authorship network of co-authors of Stéphane Pagès
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Pagès. A scholar is included among the top collaborators of Stéphane Pagès based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stéphane Pagès. Stéphane Pagès is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 27 | |
| 12 | 207 | |
| 13 | 142 | |
| 14 | 171 | |
| 15 | 10 | |
| 16 | 64 | |
| 17 | 41 | |
| 18 | Ultrafast spectroscopy on bimolecular photoinduced electron transfer reactions | 9 |
| 19 | 53 | |
| 20 | 27 |
About Stéphane Pagès
Stéphane Pagès is a scholar working on Biophysics, Physical and Theoretical Chemistry and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Photochemistry and Electron Transfer Studies (8 papers), Neural dynamics and brain function (7 papers) and Spectroscopy and Quantum Chemical Studies (7 papers). The work is most often cited by research in Physical and Theoretical Chemistry (284 citations), Cellular and Molecular Neuroscience (376 citations) and Biophysics (111 citations). Stéphane Pagès has collaborated with scholars based in Switzerland, France and Canada. Frequent co-authors include Eric Vauthey, Anthony Holtmaat, Bernhard Lang, Alan Carleton, Olivier Nicolet, Frédéric Gambino, Daniela Baptista, Roberta Tatti, Philipp Schätzle and Daniel Côté. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.