Sylvain Gandon
- Genetics top 0.1%
- Public Health, Environmental and Occupational Health top 0.5%
- Ecology top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Sociology and Political Science top 0.5%
- Co-authors
- Yannis MichalakisAna RiveroTroy DayScott L. NuismerAndrew F. ReadAngus BucklingFrançois BlanquartSébastien Lion
- Topics
- Evolution and Genetic Dynamics (100 papers)Mathematical and Theoretical Epidemiology and Ecology Models (52 papers)Evolutionary Game Theory and Cooperation (37 papers)
- Cited by
- GeneticsParasitologyInsect Science
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Sylvain Gandon
144 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Genetics 4.9k
- Public Health, Environmental and Occupational Health 2.7k
- Ecology 2.5k
- Ecology, Evolution, Behavior and Systematics 1.9k
- Sociology and Political Science 1.7k
Countries citing papers authored by Sylvain Gandon
This map shows the geographic impact of Sylvain Gandon'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 Sylvain Gandon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Gandon more than expected).
Fields of papers citing papers by Sylvain Gandon
This network shows the impact of papers produced by Sylvain Gandon. 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 Sylvain Gandon. The network helps show where Sylvain Gandon may publish in the future.
Co-authorship network of co-authors of Sylvain Gandon
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Gandon. A scholar is included among the top collaborators of Sylvain Gandon 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 Sylvain Gandon. Sylvain Gandon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 32 | |
| 9 | 13 | |
| 10 | 16 | |
| 11 | 19 | |
| 12 | 15 | |
| 13 | 15 | |
| 14 | 44 | |
| 15 | 44 | |
| 16 | 106 | |
| 17 | 14 | |
| 18 | 23 | |
| 19 | 238 | |
| 20 | 3 |
About Sylvain Gandon
Sylvain Gandon is a scholar working on Genetics, Modeling and Simulation and Parasitology, having authored 146 papers that have together received 9.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (100 papers), Mathematical and Theoretical Epidemiology and Ecology Models (52 papers) and Evolutionary Game Theory and Cooperation (37 papers). The work is most often cited by research in Genetics (4.9k citations), Parasitology (795 citations) and Insect Science (1.4k citations). Sylvain Gandon has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Yannis Michalakis, Ana Rivero, Troy Day, Scott L. Nuismer, Andrew F. Read, Angus Buckling, François Blanquart, Sébastien Lion, Margaret J. Mackinnon and Oliver Kaltz. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.