Fanny Coulpier
- Molecular Biology top 10%
- Cancer Research top 5%
- Plant Science top 10%
- Cell Biology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Laurent JourdrenKannanganattu V. PrasanthDavid L. SpectorZhenyu XuanDelphine BernardVidisha TripathiSabrina ColasseMichael Q. Zhang
- Topics
- Nerve injury and regeneration (6 papers)Fungal and yeast genetics research (6 papers)Adipose Tissue and Metabolism (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Fanny Coulpier
35 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.1k
- Cancer Research 535
- Plant Science 233
- Cell Biology 168
- Cellular and Molecular Neuroscience 164
Countries citing papers authored by Fanny Coulpier
This map shows the geographic impact of Fanny Coulpier'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 Fanny Coulpier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanny Coulpier more than expected).
Fields of papers citing papers by Fanny Coulpier
This network shows the impact of papers produced by Fanny Coulpier. 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 Fanny Coulpier. The network helps show where Fanny Coulpier may publish in the future.
Co-authorship network of co-authors of Fanny Coulpier
This figure shows the co-authorship network connecting the top 25 collaborators of Fanny Coulpier. A scholar is included among the top collaborators of Fanny Coulpier 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 Fanny Coulpier. Fanny Coulpier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 25 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 39 | |
| 6 | 56 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 35 | |
| 10 | 22 | |
| 11 | 17 | |
| 12 | 52 | |
| 13 | 22 | |
| 14 | 25 | |
| 15 | 209 | |
| 16 | 28 | |
| 17 | 31 | |
| 18 | 69 | |
| 19 | 43 | |
| 20 | 3 |
About Fanny Coulpier
Fanny Coulpier is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Fungal and yeast genetics research (6 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Cancer Research (535 citations), Developmental Neuroscience (125 citations) and Molecular Biology (1.1k citations). Fanny Coulpier has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Laurent Jourdren, Kannanganattu V. Prasanth, David L. Spector, Zhenyu Xuan, Delphine Bernard, Vidisha Tripathi, Sabrina Colasse, Michael Q. Zhang, Frédéric Sedel and Antoine Triller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.