Stéphane U. Rigaud
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Cell Image Analysis Techniques 5
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- Cellular Mechanics and Interactions 4
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- James R. W. Conway (1 shared paper)Laure Le Blanc (1 shared paper)Daria Bonazzi (1 shared paper)Dmitry Ershov (1 shared paper)Guillaume Duménil (1 shared paper)Arthur Charles‐Orszag (1 shared paper)Jean-Yves Tinévez (1 shared paper)Nathan H. Roy (1 shared paper)
- Journals
- Nature Communications (1 paper)Nature Methods (1 paper)Developmental Cell (1 paper)Current Biology (1 paper)Nature (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Stéphane U. Rigaud
12 papers receiving 1.2k citations
Stéphane U. Rigaud's Hit Papers
Peers
Comparison fields: 5 of 109
- Cell Biology 374
- Biophysics 170
- Infectious Diseases 131
- Immunology and Allergy 24
- Molecular Biology 292
Countries citing papers authored by Stéphane U. Rigaud
This map shows the geographic impact of Stéphane U. Rigaud'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 Stéphane U. Rigaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane U. Rigaud more than expected).
Fields of papers citing papers by Stéphane U. Rigaud
This network shows the impact of papers produced by Stéphane U. Rigaud. 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 Stéphane U. Rigaud. The network helps show where Stéphane U. Rigaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane U. Rigaud, 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 | TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines Hit paper breakdown → | 2022 | 673 |
| 2 | 2021 | 192 | |
| 3 | 2015 | 166 | |
| 4 | 2017 | 113 | |
| 5 | 2022 | 42 | |
| 6 | 2021 | 29 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2011 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2012 | 0 | |
| 14 | 2012 | 0 | |
| 15 | 2025 | 0 |
About Stéphane U. Rigaud
Stéphane U. Rigaud is a scholar working on Biophysics, Cell Biology, Computer Graphics and Computer-Aided Design, Immunology and Developmental Biology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Cellular Mechanics and Interactions (4 papers), Computational Geometry and Mesh Generation (2 papers), interferon and immune responses (2 papers), Developmental Biology and Gene Regulation (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), COVID-19 Clinical Research Studies (1 paper) and Congenital limb and hand anomalies (1 paper). The work is most often cited by research in Cell Biology (374 citations), Biophysics (170 citations), Infectious Diseases (131 citations), Immunology and Allergy (24 citations) and Molecular Biology (292 citations). Stéphane U. Rigaud has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include James R. W. Conway, Laure Le Blanc, Daria Bonazzi, Dmitry Ershov, Guillaume Duménil, Arthur Charles‐Orszag, Jean-Yves Tinévez, Nathan H. Roy, Joanna W. Pylvänäinen and Romain F. Laine. Their work appears in journals such as Nature Communications, Nature Methods, Developmental Cell, Current Biology and Nature.
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.