Renaud Renault
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
Papers in
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- stochastic dynamics and bifurcation 4
- Complex Network Analysis Techniques 2
- Advanced Thermodynamics and Statistical Mechanics 1
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- Neural dynamics and brain function 4
- Co-authors
- Jean‐Louis Viovy (6 shared papers)Catherine Villard (3 shared papers)Stéphanie Descroix (4 shared papers)Jean‐Baptiste Durand (1 shared paper)Jean‐Michel Peyrin (2 shared papers)Davide Ferraro (2 shared papers)Marco Serra (2 shared papers)Pascal Monceau (5 shared papers)
- Journals
- Physical review. E (2 papers)Sensors and Actuators B Chemical (2 papers)Lab on a Chip (2 papers)Nature Physics (1 paper)Bone (1 paper)
- Partner nations
- FranceIsraelSwitzerland
In The Last Decade
Renaud Renault
11 papers receiving 293 citations
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 111
- Biomedical Engineering 149
- Cognitive Neuroscience 48
- Immunology 25
- Molecular Biology 72
Countries citing papers authored by Renaud Renault
This map shows the geographic impact of Renaud Renault'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 Renaud Renault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renaud Renault more than expected).
Fields of papers citing papers by Renaud Renault
This network shows the impact of papers produced by Renaud Renault. 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 Renaud Renault. The network helps show where Renaud Renault may publish in the future.
Co-authors
The 25 scholars most cited alongside Renaud Renault, 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 | 2015 | 60 | |
| 2 | 2016 | 58 | |
| 3 | 2017 | 54 | |
| 4 | 2010 | 39 | |
| 5 | 2019 | 31 | |
| 6 | 2018 | 22 | |
| 7 | 2016 | 20 | |
| 8 | 2025 | 4 | |
| 9 | 2013 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2014 | 2 | |
| 12 | 2016 | 0 |
About Renaud Renault
Renaud Renault is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 12 papers that have together received 295 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), stochastic dynamics and bifurcation (4 papers), Neuroscience and Neural Engineering (3 papers), Photoreceptor and optogenetics research (2 papers), Complex Network Analysis Techniques (2 papers), 3D Printing in Biomedical Research (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (111 citations), Biomedical Engineering (149 citations), Cognitive Neuroscience (48 citations), Immunology (25 citations) and Molecular Biology (72 citations). Renaud Renault has collaborated with scholars based in France, Israel and Switzerland. Frequent co-authors include Jean‐Louis Viovy, Catherine Villard, Stéphanie Descroix, Jean‐Baptiste Durand, Jean‐Michel Peyrin, Davide Ferraro, Marco Serra, Pascal Monceau, Samuel Bottani and Maéva Vignes. Their work appears in journals such as Physical review. E, Sensors and Actuators B Chemical, Lab on a Chip, Nature Physics and Bone.
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.