François Bonneton
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Insect Science top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Isabelle M. L. BillasVincent LaudetArnaud ChaumotMaurice WegnezMichael C. LawrenceLloyd D. GrahamRonald J. HillDino Moras
- Topics
- Neurobiology and Insect Physiology Research (10 papers)Insect and Arachnid Ecology and Behavior (4 papers)Trace Elements in Health (3 papers)
- Partner nations
- FranceUnited KingdomSwitzerland
In The Last Decade
François Bonneton
22 papers receiving 819 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 392
- Cellular and Molecular Neuroscience 329
- Genetics 245
- Insect Science 234
- Ecology, Evolution, Behavior and Systematics 109
Countries citing papers authored by François Bonneton
This map shows the geographic impact of François Bonneton'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 François Bonneton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Bonneton more than expected).
Fields of papers citing papers by François Bonneton
This network shows the impact of papers produced by François Bonneton. 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 François Bonneton. The network helps show where François Bonneton may publish in the future.
Co-authorship network of co-authors of François Bonneton
This figure shows the co-authorship network connecting the top 25 collaborators of François Bonneton. A scholar is included among the top collaborators of François Bonneton 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 François Bonneton. François Bonneton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 21 | |
| 3 | 25 | |
| 4 | 27 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 39 | |
| 8 | 4 | |
| 9 | 55 | |
| 10 | 96 | |
| 11 | The rapid divergence of the ecdysone receptor is a synapomorphy for Mecopterida that clarifies the Strepsiptera problem | 3 |
| 12 | 38 | |
| 13 | 3 | |
| 14 | 64 | |
| 15 | 61 | |
| 16 | 46 | |
| 17 | 38 | |
| 18 | 40 | |
| 19 | 21 | |
| 20 | 38 |
About François Bonneton
François Bonneton is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 824 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Insect Science (234 citations), Cellular and Molecular Neuroscience (329 citations) and Aging (18 citations). François Bonneton has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Isabelle M. L. Billas, Vincent Laudet, Arnaud Chaumot, Maurice Wegnez, Michael C. Lawrence, Lloyd D. Graham, Ronald J. Hill, Dino Moras, Vincent Laudet and Philip J. Shaw. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and PLoS ONE.
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.