Rémi Allio
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Lepidoptera: Biology and Taxonomy
- Insect and Arachnid Ecology and Behavior
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- Plant and animal studies
Papers in
- Genetics 11
- Genetic diversity and population structure 8
- Lepidoptera: Biology and Taxonomy 3
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- Plant and animal studies 4
- Plant Diversity and Evolution 2
- Co-authors
- Benoît Nabholz (5 shared papers)Frédéric Delsuc (6 shared papers)Francisco Prosdocimi (1 shared paper)Jonathan Romiguier (2 shared papers)Nicolas Galtier (2 shared papers)Stefano Donegà (1 shared paper)Felix A. H. Sperling (3 shared papers)Fabien L. Condamine (3 shared papers)
- Journals
- Molecular Biology and Evolution (3 papers)Nature (1 paper)Genome Biology and Evolution (1 paper)Journal of Heredity (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Rémi Allio
15 papers receiving 1.3k citations
Rémi Allio's Hit Papers
Peers
Comparison fields: 5 of 71
- Genetics 702
- Ecology, Evolution, Behavior and Systematics 430
- Insect Science 253
- Ecological Modeling 76
- Molecular Biology 766
Countries citing papers authored by Rémi Allio
This map shows the geographic impact of Rémi Allio'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 Rémi Allio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rémi Allio more than expected).
Fields of papers citing papers by Rémi Allio
This network shows the impact of papers produced by Rémi Allio. 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 Rémi Allio. The network helps show where Rémi Allio may publish in the future.
Co-authors
The 25 scholars most cited alongside Rémi Allio, 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 | MitoFinder: Efficient automated large‐scale extraction of mitogenomic data in target enrichment phylogenomics Hit paper breakdown → | 2020 | 880 |
| 2 | 2017 | 286 | |
| 3 | 2021 | 63 | |
| 4 | 2019 | 61 | |
| 5 | 2023 | 40 | |
| 6 | 2023 | 21 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2025 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 |
About Rémi Allio
Rémi Allio is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Ecology and Ecological Modeling, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Genomics and Phylogenetic Studies (7 papers), Plant and animal studies (4 papers), Lepidoptera: Biology and Taxonomy (3 papers), Plant Reproductive Biology (2 papers), Identification and Quantification in Food (2 papers), Plant Diversity and Evolution (2 papers) and Wildlife Ecology and Conservation (2 papers). The work is most often cited by research in Genetics (702 citations), Ecology, Evolution, Behavior and Systematics (430 citations), Insect Science (253 citations), Ecological Modeling (76 citations) and Molecular Biology (766 citations). Rémi Allio has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Benoît Nabholz, Frédéric Delsuc, Francisco Prosdocimi, Jonathan Romiguier, Nicolas Galtier, Stefano Donegà, Felix A. H. Sperling, Fabien L. Condamine, Anne‐Laure Clamens and Céline Scornavacca. Their work appears in journals such as Molecular Biology and Evolution, Nature, Genome Biology and Evolution, Journal of Heredity and Nucleic Acids Research.
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.