Rémy Kusters
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
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- Cellular Mechanics and Interactions
Papers in
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- Cellular Mechanics and Interactions 7
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- Nanopore and Nanochannel Transport Studies 3
- Microfluidic and Bio-sensing Technologies 2
- Co-authors
- Cornelis Storm (9 shared papers)Casper C. Hoogenraad (4 shared papers)Pierre Sens (3 shared papers)Lukas C. Kapitein (3 shared papers)Max Adrian (2 shared papers)Valentina Caorsi (2 shared papers)Camille Simon (2 shared papers)Cécile Sykes (3 shared papers)
- Journals
- Biophysical Journal (3 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)Soft Matter (2 papers)Nature Physics (1 paper)PLoS ONE (1 paper)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Rémy Kusters
19 papers receiving 489 citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 106
- Cell Biology 91
- Biophysics 32
- Statistical and Nonlinear Physics 68
- Neurology 30
Countries citing papers authored by Rémy Kusters
This map shows the geographic impact of Rémy Kusters'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 Kusters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémy Kusters more than expected).
Fields of papers citing papers by Rémy Kusters
This network shows the impact of papers produced by Rémy Kusters. 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 Kusters. The network helps show where Rémy Kusters may publish in the future.
Co-authors
The 25 scholars most cited alongside Rémy Kusters, 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 | 2020 | 77 | |
| 2 | 2019 | 69 | |
| 3 | 2012 | 46 | |
| 4 | 2017 | 44 | |
| 5 | 2014 | 44 | |
| 6 | 2013 | 41 | |
| 7 | 2015 | 34 | |
| 8 | 2014 | 26 | |
| 9 | 2019 | 22 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 18 | |
| 12 | 2019 | 18 | |
| 13 | 2014 | 10 | |
| 14 | 2019 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2017 | 4 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 1 |
About Rémy Kusters
Rémy Kusters is a scholar working on Cell Biology, Biomedical Engineering, Molecular Biology, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 491 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), Force Microscopy Techniques and Applications (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Photoreceptor and optogenetics research (3 papers), Micro and Nano Robotics (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Advanced Materials and Mechanics (3 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (106 citations), Cell Biology (91 citations), Biophysics (32 citations), Statistical and Nonlinear Physics (68 citations) and Neurology (30 citations). Rémy Kusters has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Cornelis Storm, Casper C. Hoogenraad, Pierre Sens, Lukas C. Kapitein, Max Adrian, Valentina Caorsi, Camille Simon, Cécile Sykes, Jean‐François Joanny and José P. Marques. Their work appears in journals such as Biophysical Journal, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Soft Matter, Nature Physics and PLoS ONE.
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.