Stéphane Rigaud
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Cellular Mechanics and Interactions 5
- Hippo pathway signaling and YAP/TAZ 3
- Microtubule and mitosis dynamics 2
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- Cell Image Analysis Techniques 4
- Co-authors
- Arthur Charles‐Orszag (1 shared paper)Laure Le Blanc (1 shared paper)Minh-Son Phan (2 shared papers)Guillaume Jacquemet (1 shared paper)James R. W. Conway (1 shared paper)Joanna W. Pylvänäinen (1 shared paper)Dmitry Ershov (1 shared paper)Jean-Yves Tinévez (3 shared papers)
- Journals
- Developmental Cell (1 paper)Nature Methods (1 paper)Cell Reports (1 paper)Current Biology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Stéphane Rigaud
9 papers receiving 860 citations
Stéphane Rigaud's Hit Papers
Peers
Comparison fields: 5 of 110
- Cell Biology 337
- Biophysics 118
- Structural Biology 12
- Aging 14
- Molecular Biology 351
Countries citing papers authored by Stéphane Rigaud
This map shows the geographic impact of Stéphane 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 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 Rigaud more than expected).
Fields of papers citing papers by Stéphane Rigaud
This network shows the impact of papers produced by Stéphane 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 Rigaud. The network helps show where Stéphane Rigaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane 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 | 559 |
| 2 | 2015 | 144 | |
| 3 | 2017 | 106 | |
| 4 | 2022 | 39 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2011 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2012 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2012 | 0 |
About Stéphane Rigaud
Stéphane Rigaud is a scholar working on Cell Biology, Biophysics, Computer Vision and Pattern Recognition, Molecular Biology and Media Technology, having authored 13 papers that have together received 865 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Cell Image Analysis Techniques (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Advanced Vision and Imaging (3 papers), Microtubule and mitosis dynamics (2 papers), Image Processing Techniques and Applications (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Cell Biology (337 citations), Biophysics (118 citations), Structural Biology (12 citations), Aging (14 citations) and Molecular Biology (351 citations). Stéphane Rigaud has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Arthur Charles‐Orszag, Laure Le Blanc, Minh-Son Phan, Guillaume Jacquemet, James R. W. Conway, Joanna W. Pylvänäinen, Dmitry Ershov, Jean-Yves Tinévez, Guillaume Duménil and Romain F. Laine. Their work appears in journals such as Developmental Cell, Nature Methods, Cell Reports, Current Biology and PLoS Computational Biology.
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.