Rémy Colin
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
Papers in
-
- Diffusion and Search Dynamics 4
- Gene Regulatory Network Analysis 4
- Bacterial biofilms and quorum sensing 3
-
- Micro and Nano Robotics 13
- Co-authors
- Victor Sourjik (20 shared papers)Leanid Laganenka (4 shared papers)Bin Ni (5 shared papers)Laurence G. Wilson (3 shared papers)Hannes Link (2 shared papers)Robert G. Endres (2 shared papers)Benjamin M. Friedrich (1 shared paper)Luis Álvarez (1 shared paper)
- Journals
- Nature Communications (5 papers)Soft Matter (3 papers)Biophysical Journal (2 papers)eLife (2 papers)Cell Reports (1 paper)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Rémy Colin
31 papers receiving 1.2k citations
Rémy Colin's Hit Papers
Peers
Comparison fields: 5 of 115
- Endocrinology 136
- Condensed Matter Physics 320
- Genetics 253
- Molecular Biology 563
- Molecular Medicine 37
Countries citing papers authored by Rémy Colin
This map shows the geographic impact of Rémy Colin'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 Rémy Colin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémy Colin more than expected).
Fields of papers citing papers by Rémy Colin
This network shows the impact of papers produced by Rémy Colin. 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 Rémy Colin. The network helps show where Rémy Colin may publish in the future.
Co-authors
The 25 scholars most cited alongside Rémy Colin, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiple functions of flagellar motility and chemotaxis in bacterial physiology Hit paper breakdown → | 2021 | 225 |
| 2 | 2016 | 162 | |
| 3 | 2015 | 155 | |
| 4 | 2019 | 87 | |
| 5 | 2017 | 83 | |
| 6 | 2017 | 50 | |
| 7 | 2018 | 46 | |
| 8 | 2019 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2022 | 40 | |
| 11 | 2017 | 36 | |
| 12 | 2020 | 35 | |
| 13 | 2014 | 33 | |
| 14 | 2013 | 27 | |
| 15 | 2023 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2013 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2015 | 13 | |
| 20 | 2025 | 12 |
About Rémy Colin
Rémy Colin is a scholar working on Molecular Biology, Condensed Matter Physics, Biomedical Engineering, Genetics and Endocrinology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Micro and Nano Robotics (13 papers), Microfluidic and Bio-sensing Technologies (7 papers), Molecular Communication and Nanonetworks (7 papers), Bacterial Genetics and Biotechnology (7 papers), Diffusion and Search Dynamics (4 papers), Gene Regulatory Network Analysis (4 papers), Photoreceptor and optogenetics research (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Endocrinology (136 citations), Condensed Matter Physics (320 citations), Genetics (253 citations), Molecular Biology (563 citations) and Molecular Medicine (37 citations). Rémy Colin has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Victor Sourjik, Leanid Laganenka, Bin Ni, Laurence G. Wilson, Hannes Link, Robert G. Endres, Benjamin M. Friedrich, Luis Álvarez, Andreas Rennhack and Christoph Brenker. Their work appears in journals such as Nature Communications, Soft Matter, Biophysical Journal, eLife and Cell Reports.
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.