Samuel Mathieu
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
Papers in
-
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 1
-
- Microtubule and mitosis dynamics 3
- Cellular Mechanics and Interactions 3
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Jean‐Baptiste Manneville (4 shared papers)Giulia Santinon (1 shared paper)Arianna Pocaterra (1 shared paper)Matteo Audano (1 shared paper)Patrizia Romani (1 shared paper)Silvio Bicciato (1 shared paper)Nico Mitro (1 shared paper)Silvia Pedretti (1 shared paper)
- Journals
- Nature Cell Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Genomics (1 paper)Human Genomics (1 paper)Scientific Reports (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Samuel Mathieu
8 papers receiving 299 citations
Peers
Comparison fields: 5 of 70
- Cell Biology 129
- Cancer Research 39
- Biophysics 12
- Biochemistry 12
- Molecular Biology 108
Countries citing papers authored by Samuel Mathieu
This map shows the geographic impact of Samuel Mathieu'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 Samuel Mathieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Mathieu more than expected).
Fields of papers citing papers by Samuel Mathieu
This network shows the impact of papers produced by Samuel Mathieu. 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 Samuel Mathieu. The network helps show where Samuel Mathieu may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Mathieu, 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 | 2019 | 164 | |
| 2 | 2018 | 46 | |
| 3 | 2019 | 38 | |
| 4 | 2019 | 19 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2021 | 0 |
About Samuel Mathieu
Samuel Mathieu is a scholar working on Molecular Biology, Cell Biology, Immunology, Cancer Research and Condensed Matter Physics, having authored 11 papers that have together received 304 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Cellular Mechanics and Interactions (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Genetic Associations and Epidemiology (1 paper), Immunotherapy and Immune Responses (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Cell Biology (129 citations), Cancer Research (39 citations), Biophysics (12 citations), Biochemistry (12 citations) and Molecular Biology (108 citations). Samuel Mathieu has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jean‐Baptiste Manneville, Giulia Santinon, Arianna Pocaterra, Matteo Audano, Patrizia Romani, Silvio Bicciato, Nico Mitro, Silvia Pedretti, Sirio Dupont and Mattia Forcato. Their work appears in journals such as Nature Cell Biology, Proceedings of the National Academy of Sciences, BMC Genomics, Human Genomics and Scientific 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.