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
- Cell Biology 25
- Cellular Mechanics and Interactions 16
- Microtubule and mitosis dynamics 12
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- Stochastic processes and statistical mechanics 8
- Co-authors
- Olivier BénichouRaphaël VoituriezM. MoreauMaxime DahanStanislav Y. ShvartsmanJacob PiehlerAlexander M. BerezhkovskiiManon Moreau
- Journals
- Biophysical Journal (6 papers)Current Biology (5 papers)Science Advances (3 papers)eLife (3 papers)Physica A Statistical Mechanics and its Applications (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Mathieu Coppey
59 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 142
- Cell Biology 686
- Mathematical Physics 251
- Statistical and Nonlinear Physics 327
- Molecular Biology 1.8k
- Biophysics 141
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 35 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 62 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 24 | |
| 10 | 2018 | 29 | |
| 11 | 2018 | 4 | |
| 12 | 2017 | 65 | |
| 13 | Precision of readout at the hunchback gene | 2016 | 1 |
| 14 | 2016 | 31 | |
| 15 | 2015 | 52 | |
| 16 | 2014 | 2 | |
| 17 | 2008 | 14 | |
| 18 | 2007 | 23 | |
| 19 | 2007 | 68 | |
| 20 | 2004 | 194 |
About Mathieu Coppey
Mathieu Coppey is a scholar working on Cell Biology, Mathematical Physics, Modeling and Simulation, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (16 papers), Diffusion and Search Dynamics (16 papers), Microtubule and mitosis dynamics (12 papers), Genomics and Chromatin Dynamics (8 papers), Gene Regulatory Network Analysis (8 papers), Stochastic processes and statistical mechanics (8 papers), Photoreceptor and optogenetics research (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cell Biology (686 citations), Mathematical Physics (251 citations), Statistical and Nonlinear Physics (327 citations), Molecular Biology (1.8k citations) and Biophysics (141 citations). Mathieu Coppey has collaborated with scholars based in France, United States and Germany. 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 Physica A Statistical Mechanics and its Applications.
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.