Raphaël Leblois
Impact in
- Ecological Modeling top 2%
- Species Distribution and Climate Change
- Genetics top 0.5%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
Papers in
- Co-authors
- Arnaud Estoup (8 shared papers)Lise Frézal (1 shared paper)François Rousset (13 shared papers)Mathieu Gautier (4 shared papers)Pierre Pudlo (2 shared papers)Jean‐Marie Cornuet (1 shared paper)Jean‐Michel Marin (1 shared paper)Aurélie Coulon (2 shared papers)
In The Last Decade
Raphaël Leblois
63 papers receiving 3.4k citations
Raphaël Leblois's Hit Papers
Peers
Comparison fields: 5 of 105
- Ecological Modeling 356
- Genetics 2.1k
- Nature and Landscape Conservation 713
- Ecology 1.4k
- Ecology, Evolution, Behavior and Systematics 692
Countries citing papers authored by Raphaël Leblois
This map shows the geographic impact of Raphaël Leblois'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 Raphaël Leblois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Leblois more than expected).
Fields of papers citing papers by Raphaël Leblois
This network shows the impact of papers produced by Raphaël Leblois. 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 Raphaël Leblois. The network helps show where Raphaël Leblois may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Leblois, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data Hit paper breakdown → | 2014 | 832 |
| 2 | 2009 | 289 | |
| 3 | 2008 | 281 | |
| 4 | 2010 | 142 | |
| 5 | 2011 | 131 | |
| 6 | 2009 | 128 | |
| 7 | 2017 | 122 | |
| 8 | 2018 | 113 | |
| 9 | 2006 | 109 | |
| 10 | 2003 | 93 | |
| 11 | 2003 | 86 | |
| 12 | 2010 | 84 | |
| 13 | 2006 | 80 | |
| 14 | 2004 | 77 | |
| 15 | 2014 | 66 | |
| 16 | 2011 | 57 | |
| 17 | 2014 | 56 | |
| 18 | 2000 | 55 | |
| 19 | 2018 | 50 | |
| 20 | 2011 | 50 |
About Raphaël Leblois
Raphaël Leblois is a scholar working on Genetics, Ecology, Molecular Biology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 66 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (46 papers), Genetic and phenotypic traits in livestock (13 papers), Wildlife Ecology and Conservation (9 papers), Amphibian and Reptile Biology (8 papers), Evolution and Genetic Dynamics (7 papers), Species Distribution and Climate Change (7 papers), Identification and Quantification in Food (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Ecological Modeling (356 citations), Genetics (2.1k citations), Nature and Landscape Conservation (713 citations), Ecology (1.4k citations) and Ecology, Evolution, Behavior and Systematics (692 citations). Raphaël Leblois has collaborated with scholars based in France, Morocco and Portugal. Frequent co-authors include Arnaud Estoup, Lise Frézal, François Rousset, Mathieu Gautier, Pierre Pudlo, Jean‐Marie Cornuet, Jean‐Michel Marin, Aurélie Coulon, Alain C. Frantz and G. Guillot. Their work appears in journals such as Molecular Ecology, Biological Journal of the Linnean Society, Genetics, Molecular Biology and Evolution and Heredity.
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.