Frédéric Jean‐Alphonse
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 10%
- Genetics
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Jean‐Pierre VilardagaThomas J. GardellaAylin C. HanyalogluKunhong XiaoManojkumar A. PuthenveeduAlex D. WhiteStanford ChenChristiane Mendre
- Topics
- Receptor Mechanisms and Signaling (23 papers)Protein Kinase Regulation and GTPase Signaling (11 papers)Cellular transport and secretion (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Frédéric Jean‐Alphonse
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 875
- Cellular and Molecular Neuroscience 340
- Cell Biology 168
- Genetics 96
- Endocrine and Autonomic Systems 94
Countries citing papers authored by Frédéric Jean‐Alphonse
This map shows the geographic impact of Frédéric Jean‐Alphonse'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 Frédéric Jean‐Alphonse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Jean‐Alphonse more than expected).
Fields of papers citing papers by Frédéric Jean‐Alphonse
This network shows the impact of papers produced by Frédéric Jean‐Alphonse. 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 Frédéric Jean‐Alphonse. The network helps show where Frédéric Jean‐Alphonse may publish in the future.
Co-authorship network of co-authors of Frédéric Jean‐Alphonse
This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Jean‐Alphonse. A scholar is included among the top collaborators of Frédéric Jean‐Alphonse 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 Frédéric Jean‐Alphonse. Frédéric Jean‐Alphonse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 38 | |
| 9 | 39 | |
| 10 | 44 | |
| 11 | 27 | |
| 12 | 70 | |
| 13 | 53 | |
| 14 | 44 | |
| 15 | 26 | |
| 16 | 19 | |
| 17 | 70 | |
| 18 | 40 | |
| 19 | 4 | |
| 20 | 6 |
About Frédéric Jean‐Alphonse
Frédéric Jean‐Alphonse is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Molecular Biology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (340 citations), Endocrine and Autonomic Systems (94 citations) and Molecular Biology (875 citations). Frédéric Jean‐Alphonse has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jean‐Pierre Vilardaga, Thomas J. Gardella, Aylin C. Hanyaloglu, Kunhong Xiao, Manojkumar A. Puthenveedu, Alex D. White, Stanford Chen, Christiane Mendre, Fei Fang and Éric Reiter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.