Raphaël Poujol
Impact in
- Paleontology top 10%
- Evolution and Paleontology Studies
- Genetics top 10%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Epigenetics and DNA Methylation 3
- vaccines and immunoinformatics approaches 3
- Genomics and Phylogenetic Studies 2
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 3
- Co-authors
- Nicolas Lartillot (1 shared paper)Hervé Philippe (1 shared paper)Arnaud Di Franco (1 shared paper)Denis Baurain (1 shared paper)Alpha Diallo (2 shared papers)Kathryn Vaillancourt (2 shared papers)Carl Ernst (2 shared papers)Gary G. Chen (2 shared papers)
- Journals
- iScience (2 papers)Genome Biology and Evolution (2 papers)The American Journal of Human Genetics (1 paper)BMC Genomics (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Raphaël Poujol
14 papers receiving 359 citations
Peers
Comparison fields: 5 of 79
- Paleontology 62
- Genetics 180
- Ecology, Evolution, Behavior and Systematics 67
- Molecular Biology 217
- Infectious Diseases 37
Countries citing papers authored by Raphaël Poujol
This map shows the geographic impact of Raphaël Poujol'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 Poujol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Poujol more than expected).
Fields of papers citing papers by Raphaël Poujol
This network shows the impact of papers produced by Raphaël Poujol. 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 Poujol. The network helps show where Raphaël Poujol may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Poujol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 172 | |
| 2 | 2019 | 91 | |
| 3 | 2014 | 52 | |
| 4 | 2014 | 10 | |
| 5 | 2023 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 1 |
About Raphaël Poujol
Raphaël Poujol is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Animal Science and Zoology and Paleontology, having authored 14 papers that have together received 367 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Epigenetics and DNA Methylation (3 papers), vaccines and immunoinformatics approaches (3 papers), COVID-19 Clinical Research Studies (3 papers), Animal Virus Infections Studies (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic diversity and population structure (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Paleontology (62 citations), Genetics (180 citations), Ecology, Evolution, Behavior and Systematics (67 citations), Molecular Biology (217 citations) and Infectious Diseases (37 citations). Raphaël Poujol has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Nicolas Lartillot, Hervé Philippe, Arnaud Di Franco, Denis Baurain, Alpha Diallo, Kathryn Vaillancourt, Carl Ernst, Gary G. Chen, Guillaume Bourque and Gilles Maussion. Their work appears in journals such as iScience, Genome Biology and Evolution, The American Journal of Human Genetics, BMC Genomics and Molecular Biology and Evolution.
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.