Frédérique Peronnet
- Molecular Biology
- Plant Science top 10%
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Jean‐Michel GibertChristian SchlöttererEmmanuèle Mouchel‐VielhMartin Best‐BelpommeJean S. DeutschVincent DebatJ. BeckerSébastien Bloyer
- Topics
- Genomics and Chromatin Dynamics (15 papers)Chromosomal and Genetic Variations (12 papers)Neurobiology and Insect Physiology Research (8 papers)
In The Last Decade
Frédérique Peronnet
40 papers receiving 824 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 472
- Plant Science 207
- Cellular and Molecular Neuroscience 195
- Genetics 184
- Ecology, Evolution, Behavior and Systematics 119
Countries citing papers authored by Frédérique Peronnet
This map shows the geographic impact of Frédérique Peronnet'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 Frédérique Peronnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédérique Peronnet more than expected).
Fields of papers citing papers by Frédérique Peronnet
This network shows the impact of papers produced by Frédérique Peronnet. 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 Frédérique Peronnet. The network helps show where Frédérique Peronnet may publish in the future.
Co-authorship network of co-authors of Frédérique Peronnet
This figure shows the co-authorship network connecting the top 25 collaborators of Frédérique Peronnet. A scholar is included among the top collaborators of Frédérique Peronnet 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 Frédérique Peronnet. Frédérique Peronnet 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 | 6 | |
| 3 | 31 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 43 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 43 | |
| 14 | 11 | |
| 15 | 110 | |
| 16 | 20 | |
| 17 | 146 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | From transcript modulations to protein phosphorylation: A short survey of some effects of ecdysteroid | 3 |
About Frédérique Peronnet
Frédérique Peronnet is a scholar working on Aging, Cellular and Molecular Neuroscience and Molecular Biology, having authored 40 papers that have together received 836 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Chromosomal and Genetic Variations (12 papers) and Neurobiology and Insect Physiology Research (8 papers). The work is most often cited by research in Aging (32 citations), Cellular and Molecular Neuroscience (195 citations) and Insect Science (91 citations). Frédérique Peronnet has collaborated with scholars based in France, Austria and Germany. Frequent co-authors include Jean‐Michel Gibert, Christian Schlötterer, Emmanuèle Mouchel‐Vielh, Martin Best‐Belpomme, Jean S. Deutsch, Vincent Debat, J. Becker, Sébastien Bloyer, L d'Auriol and Francis Galibert. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Journal of Virology.
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.