Sébastien Ferrandon
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Oncology
- Cell Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Jean‐Pierre VilardagaThomas J. GardellaTimothy N. FeinsteinJohn T. PottsBin WangRichard BouleyMarián CastroSimon Newstead
- Topics
- Receptor Mechanisms and Signaling (4 papers)RNA and protein synthesis mechanisms (4 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Molecular Biology
- Partner nations
- United StatesChinaGermany
In The Last Decade
Sébastien Ferrandon
10 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 451
- Oncology 165
- Cell Biology 136
- Radiology, Nuclear Medicine and Imaging 115
Countries citing papers authored by Sébastien Ferrandon
This map shows the geographic impact of Sébastien Ferrandon'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 Sébastien Ferrandon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Ferrandon more than expected).
Fields of papers citing papers by Sébastien Ferrandon
This network shows the impact of papers produced by Sébastien Ferrandon. 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 Sébastien Ferrandon. The network helps show where Sébastien Ferrandon may publish in the future.
Co-authorship network of co-authors of Sébastien Ferrandon
This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Ferrandon. A scholar is included among the top collaborators of Sébastien Ferrandon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sébastien Ferrandon. Sébastien Ferrandon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 184 | |
| 2 | 434 | |
| 3 | 118 | |
| 4 | 210 | |
| 5 | 124 | |
| 6 | 4 | |
| 7 | 85 | |
| 8 | 115 | |
| 9 | 45 | |
| 10 | 3 |
About Sébastien Ferrandon
Sébastien Ferrandon is a scholar working on Molecular Biology, Biotechnology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (451 citations), Molecular Biology (1.2k citations) and Cell Biology (136 citations). Sébastien Ferrandon has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jean‐Pierre Vilardaga, Thomas J. Gardella, Timothy N. Feinstein, John T. Potts, Bin Wang, Richard Bouley, Marián Castro, Simon Newstead, So Iwata and Kristina Lorenz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular 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.