Matthieu Foll
- Genetics top 0.1%
- Molecular Biology top 5%
- Ecology top 1%
- Nature and Landscape Conservation top 1%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Co-authors
- Oscar E. GaggiottiLaurent ExcoffierRémy J. PetitTamara HoferVítor C. SousaEmilia Huerta‐SánchezIsabelle DupanloupJeffrey D. Jensen
- Topics
- Genetic diversity and population structure (18 papers)Genetic and phenotypic traits in livestock (14 papers)Evolution and Genetic Dynamics (11 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Matthieu Foll
56 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Genetics 5.3k
- Molecular Biology 1.9k
- Ecology 1.7k
- Nature and Landscape Conservation 1.4k
- Ecology, Evolution, Behavior and Systematics 1.3k
Countries citing papers authored by Matthieu Foll
This map shows the geographic impact of Matthieu Foll'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 Matthieu Foll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Foll more than expected).
Fields of papers citing papers by Matthieu Foll
This network shows the impact of papers produced by Matthieu Foll. 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 Matthieu Foll. The network helps show where Matthieu Foll may publish in the future.
Co-authorship network of co-authors of Matthieu Foll
This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Foll. A scholar is included among the top collaborators of Matthieu Foll 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 Matthieu Foll. Matthieu Foll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 115 | |
| 8 | 16 | |
| 9 | 59 | |
| 10 | 51 | |
| 11 | 18 | |
| 12 | 18 | |
| 13 | 47 | |
| 14 | 94 | |
| 15 | 14 | |
| 16 | Robust Demographic Inference from Genomic and SNP Databreakdown → | 975 |
| 17 | Approximate Bayesian Computationbreakdown → | 378 |
| 18 | 26 | |
| 19 | 121 | |
| 20 | 84 |
About Matthieu Foll
Matthieu Foll is a scholar working on Genetics, Neurology and Oncology, having authored 57 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Genetic and phenotypic traits in livestock (14 papers) and Evolution and Genetic Dynamics (11 papers). The work is most often cited by research in Genetics (5.3k citations), Ecological Modeling (702 citations) and Nature and Landscape Conservation (1.4k citations). Matthieu Foll has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Oscar E. Gaggiotti, Laurent Excoffier, Rémy J. Petit, Tamara Hofer, Vítor C. Sousa, Emilia Huerta‐Sánchez, Isabelle Dupanloup, Jeffrey D. Jensen, Christophe Dessimoz and Elina Numminen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.