Mathieu Coppey
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
-
- Diffusion and Search Dynamics 16
- Genomics and Chromatin Dynamics 8
- Gene Regulatory Network Analysis 8
- RNA Research and Splicing 7
- Cell Biology 25
- Cellular Mechanics and Interactions 16
- Microtubule and mitosis dynamics 12
- Co-authors
- Olivier Bénichou (13 shared papers)Raphaël Voituriez (9 shared papers)M. Moreau (12 shared papers)Maxime Dahan (12 shared papers)Stanislav Y. Shvartsman (8 shared papers)Jacob Piehler (8 shared papers)Alexander M. Berezhkovskii (7 shared papers)Manon Moreau (1 shared paper)
- Journals
- Biophysical Journal (6 papers)Current Biology (5 papers)Science Advances (3 papers)eLife (3 papers)The Journal of Chemical Physics (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Mathieu Coppey
60 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 143
- Cell Biology 699
- Mathematical Physics 257
- Molecular Biology 1.8k
- Statistical and Nonlinear Physics 337
- Biophysics 144
Countries citing papers authored by Mathieu Coppey
This map shows the geographic impact of Mathieu Coppey'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 Coppey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Coppey more than expected).
Fields of papers citing papers by Mathieu Coppey
This network shows the impact of papers produced by Mathieu Coppey. 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 Coppey. The network helps show where Mathieu Coppey may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Coppey, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 316 | |
| 2 | 2005 | 259 | |
| 3 | 2004 | 200 | |
| 4 | 2019 | 151 | |
| 5 | 2013 | 119 | |
| 6 | 2013 | 117 | |
| 7 | 2018 | 116 | |
| 8 | 2010 | 108 | |
| 9 | 2008 | 73 | |
| 10 | 2017 | 71 | |
| 11 | 2015 | 70 | |
| 12 | 2007 | 70 | |
| 13 | 2010 | 70 | |
| 14 | 2017 | 68 | |
| 15 | 2020 | 64 | |
| 16 | 2018 | 58 | |
| 17 | 2005 | 55 | |
| 18 | 2017 | 53 | |
| 19 | 2015 | 53 | |
| 20 | 2003 | 49 |
About Mathieu Coppey
Mathieu Coppey is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Mathematical Physics, having authored 63 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (16 papers), Cellular Mechanics and Interactions (16 papers), Microtubule and mitosis dynamics (12 papers), Stochastic processes and statistical mechanics (8 papers), Genomics and Chromatin Dynamics (8 papers), Gene Regulatory Network Analysis (8 papers), RNA Research and Splicing (7 papers) and Photoreceptor and optogenetics research (7 papers). The work is most often cited by research in Cell Biology (699 citations), Mathematical Physics (257 citations), Molecular Biology (1.8k citations), Statistical and Nonlinear Physics (337 citations) and Biophysics (144 citations). Mathieu Coppey has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Olivier Bénichou, Raphaël Voituriez, M. Moreau, Maxime Dahan, Stanislav Y. Shvartsman, Jacob Piehler, Alexander M. Berezhkovskii, Manon Moreau, Fred Etoc and Gleb Oshanin. Their work appears in journals such as Biophysical Journal, Current Biology, Science Advances, eLife and The Journal of Chemical Physics.
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.