Rémi Allio

2.9k total citations · 1 hit paper
15 papers, 746 citations indexed

About

Rémi Allio is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Rémi Allio has authored 15 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Rémi Allio's work include Genetic diversity and population structure (7 papers), Genomics and Phylogenetic Studies (7 papers) and Plant and animal studies (4 papers). Rémi Allio is often cited by papers focused on Genetic diversity and population structure (7 papers), Genomics and Phylogenetic Studies (7 papers) and Plant and animal studies (4 papers). Rémi Allio collaborates with scholars based in France, United States and Switzerland. Rémi Allio's co-authors include Benoît Nabholz, Nicolas Galtier, Stefano Donegà, Frédéric Delsuc, Jonathan Romiguier, Francisco Prosdocimi, Fabien L. Condamine, Felix A. H. Sperling, Anne‐Laure Clamens and Céline Scornavacca and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Rémi Allio

14 papers receiving 738 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MitoFinder: Efficient automated large‐scale extraction of mitogenomic data in target enrichment phylogenomics

2020 273 citations Rémi Allio, Jonathan Romiguier et al. Molecular Ecology Resources profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rémi Allio France	9	369	349	220	175	100	15	746
Ellie E. Armstrong United States	11	457 1.2×	263 0.8×	133 0.6×	215 1.2×	102 1.0×	28	758
Tomasz Suchan Poland	14	364 1.0×	239 0.7×	268 1.2×	175 1.0×	129 1.3×	32	655
Katya L. Mack United States	12	288 0.8×	249 0.7×	143 0.7×	188 1.1×	74 0.7×	15	654
Ludovic Dutoit New Zealand	15	617 1.7×	264 0.8×	185 0.8×	220 1.3×	122 1.2×	45	861
Sandi Willows‐Munro South Africa	17	274 0.7×	288 0.8×	220 1.0×	345 2.0×	76 0.8×	61	766
Hernán E. Morales Denmark	17	687 1.9×	325 0.9×	169 0.8×	289 1.7×	124 1.2×	34	948
Stefan Laurent Germany	16	486 1.3×	265 0.8×	240 1.1×	146 0.8×	194 1.9×	33	849
Angel G. Rivera‐Colón United States	9	528 1.4×	306 0.9×	191 0.9×	300 1.7×	156 1.6×	17	936
Vikas Kumar India	11	308 0.8×	250 0.7×	116 0.5×	270 1.5×	86 0.9×	40	672
Sean Stankowski United Kingdom	17	508 1.4×	199 0.6×	315 1.4×	261 1.5×	138 1.4×	38	868

Countries citing papers authored by Rémi Allio

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rémi Allio

This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Allio. A scholar is included among the top collaborators of Rémi Allio 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 Rémi Allio. Rémi Allio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Emerling, Christopher A., et al.. (2026). Pseudogenes document protracted parallel regression of oral anatomy in myrmecophagous mammals. Molecular Biology and Evolution. 43(2).

Ha, Ainhi D., Artur Silva, Cecilia Roux, et al.. (2025). One mother for two species via obligate cross-species cloning in ants. Nature. 646(8084). 372–377. 1 indexed citations

Allio, Rémi, Marie‐Ka Tilak, Benoı̂t de Thoisy, et al.. (2025). Transcriptomic Data Reveal Divergent Paths of Chitinase Evolution Underlying Dietary Convergence in Anteaters and Pangolins. Genome Biology and Evolution. 17(2). 1 indexed citations

Perrier, Charles, Rémi Allio, Fabrice Legeai, et al.. (2024). Transposable element accumulation drives genome size increase in Hylesia metabus (Lepidoptera: Saturniidae), an urticating moth species from South America. Journal of Heredity. 116(3). 344–353. 1 indexed citations

Allio, Rémi, Jérôme Murienne, Jordi Salmona, et al.. (2023). Pangolin Genomes Offer Key Insights and Resources for the World’s Most Trafficked Wild Mammals. Molecular Biology and Evolution. 40(10). 8 indexed citations

Allio, Rémi, Frédéric Delsuc, Khalid Belkhir, et al.. (2023). OrthoMaM v12: a database of curated single-copy ortholog alignments and trees to study mammalian evolutionary genomics. Nucleic Acids Research. 52(D1). D529–D535. 6 indexed citations

Condamine, Fabien L., Rémi Allio, Julian R. Dupuis, et al.. (2023). A comprehensive phylogeny and revised taxonomy illuminate the origin and diversification of the global radiation of Papilio (Lepidoptera: Papilionidae). Molecular Phylogenetics and Evolution. 183. 107758–107758. 17 indexed citations

Coiro, Mario, et al.. (2023). Reconciling fossils with phylogenies reveals the origin and macroevolutionary processes explaining the global cycad biodiversity. New Phytologist. 240(4). 1616–1635. 30 indexed citations

Tannier, Éric, Aurélie Siberchicot, Simon Penel, et al.. (2023). PhylteR: Efficient Identification of Outlier Sequences in Phylogenomic Datasets. Molecular Biology and Evolution. 40(11). 11 indexed citations

10.

Haran, Julien, Xuankun Li, Rémi Allio, et al.. (2023). Phylogenomics illuminates the phylogeny of flower weevils (Curculioninae) and reveals ten independent origins of brood-site pollination mutualism in true weevils. Proceedings of the Royal Society B Biological Sciences. 290(2008). 20230889–20230889. 12 indexed citations

11.

Allio, Rémi, Benoît Nabholz, Stefan Wanke, et al.. (2021). Genome-wide macroevolutionary signatures of key innovations in butterflies colonizing new host plants. Nature Communications. 12(1). 354–354. 48 indexed citations

12.

Allio, Rémi, Marie‐Ka Tilak, Céline Scornavacca, et al.. (2021). High-quality carnivoran genomes from roadkill samples enable comparative species delineation in aardwolf and bat-eared fox. eLife. 10. 16 indexed citations

13.

Allio, Rémi, et al.. (2020). MitoFinder: Efficient automated large‐scale extraction of mitogenomic data in target enrichment phylogenomics. Molecular Ecology Resources. 20(4). 892–905. 273 indexed citations breakdown →

14.

Allio, Rémi, Céline Scornavacca, Benoît Nabholz, et al.. (2019). Whole Genome Shotgun Phylogenomics Resolves the Pattern and Timing of Swallowtail Butterfly Evolution. Systematic Biology. 69(1). 38–60. 57 indexed citations

15.

Allio, Rémi, Stefano Donegà, Nicolas Galtier, & Benoît Nabholz. (2017). Large Variation in the Ratio of Mitochondrial to Nuclear Mutation Rate across Animals: Implications for Genetic Diversity and the Use of Mitochondrial DNA as a Molecular Marker. Molecular Biology and Evolution. 34(11). 2762–2772. 265 indexed citations

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.

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