Raphaël Poujol
Impact in
- Paleontology top 10%
- Evolution and Paleontology Studies
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- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetics and Neurodevelopmental Disorders
Papers in
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- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 2
- Viral gastroenteritis research and epidemiology 1
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- vaccines and immunoinformatics approaches 4
- Epigenetics and DNA Methylation 3
- Genomics and Phylogenetic Studies 2
- Co-authors
- Nicolas Lartillot (1 shared paper)Arnaud Di Franco (1 shared paper)Denis Baurain (1 shared paper)Hervé Philippe (1 shared paper)Guillaume Bourque (2 shared papers)Gary G. Chen (2 shared papers)Alpha Diallo (2 shared papers)Carl Ernst (2 shared papers)
- Journals
- Genome Biology and Evolution (2 papers)iScience (2 papers)Microbial Genomics (1 paper)PLoS ONE (1 paper)mBio (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Raphaël Poujol
16 papers receiving 406 citations
Peers
Comparison fields: 5 of 79
- Paleontology 61
- Genetics 173
- Ecology, Evolution, Behavior and Systematics 66
- Molecular Biology 208
- Infectious Diseases 46
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 | 182 | |
| 2 | 2019 | 99 | |
| 3 | 2014 | 56 | |
| 4 | 2023 | 14 | |
| 5 | 2014 | 11 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 |
About Raphaël Poujol
Raphaël Poujol is a scholar working on Infectious Diseases, Molecular Biology, Animal Science and Zoology, Genetics and Aging, having authored 16 papers that have together received 413 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), vaccines and immunoinformatics approaches (4 papers), COVID-19 Clinical Research Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Animal Virus Infections Studies (2 papers), Genomics and Phylogenetic Studies (2 papers), SARS-CoV-2 detection and testing (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Paleontology (61 citations), Genetics (173 citations), Ecology, Evolution, Behavior and Systematics (66 citations), Molecular Biology (208 citations) and Infectious Diseases (46 citations). Raphaël Poujol has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Nicolas Lartillot, Arnaud Di Franco, Denis Baurain, Hervé Philippe, Guillaume Bourque, Gary G. Chen, Alpha Diallo, Carl Ernst, Kathryn Vaillancourt and Juan Pablo López. Their work appears in journals such as Genome Biology and Evolution, iScience, Microbial Genomics, PLoS ONE and mBio.
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.