Violaine Llaurens

2.8k total citations
62 papers, 1.6k citations indexed

About

Violaine Llaurens is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Molecular Biology. According to data from OpenAlex, Violaine Llaurens has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, Evolution, Behavior and Systematics, 31 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Violaine Llaurens's work include Plant and animal studies (40 papers), Animal Behavior and Reproduction (26 papers) and Insect and Arachnid Ecology and Behavior (13 papers). Violaine Llaurens is often cited by papers focused on Plant and animal studies (40 papers), Animal Behavior and Reproduction (26 papers) and Insect and Arachnid Ecology and Behavior (13 papers). Violaine Llaurens collaborates with scholars based in France, United Kingdom and French Guiana. Violaine Llaurens's co-authors include Mathieu Joron, Annabel Whibley, Charlotte Faurie, Michel Raymond, Mathieu Chouteau, Vincent Debat, Vincent Castric, Sylvain Billiard, Xavier Vekemans and Florence Piron‐Prunier and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Violaine Llaurens

57 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Violaine Llaurens France 21 852 830 301 288 162 62 1.6k
Casper J. Breuker United Kingdom 21 890 1.0× 661 0.8× 205 0.7× 167 0.6× 257 1.6× 43 1.6k
Rafael Maia United States 21 1.4k 1.6× 329 0.4× 127 0.4× 139 0.5× 175 1.1× 35 1.9k
Molly Schumer United States 20 489 0.6× 1.2k 1.4× 618 2.1× 469 1.6× 206 1.3× 42 1.8k
Miguel A. Rodrı́guez-Gironés Spain 26 1.6k 1.9× 475 0.6× 136 0.5× 608 2.1× 543 3.4× 65 2.1k
Michal Polák United States 26 998 1.2× 709 0.9× 140 0.5× 129 0.4× 110 0.7× 101 2.0k
Julien P. Renoult France 17 488 0.6× 170 0.2× 136 0.5× 138 0.5× 118 0.7× 41 912
Anna K. Lindholm Switzerland 29 1.6k 1.8× 906 1.1× 266 0.9× 147 0.5× 288 1.8× 78 2.9k
Calvin A. Porter United States 20 454 0.5× 593 0.7× 795 2.6× 424 1.5× 54 0.3× 35 1.8k
Damian O. Elias United States 30 1.6k 1.9× 1.1k 1.3× 84 0.3× 112 0.4× 77 0.5× 69 2.2k
Ullasa Kodandaramaiah India 26 1.6k 1.8× 1.2k 1.5× 282 0.9× 133 0.5× 404 2.5× 78 2.2k

Countries citing papers authored by Violaine Llaurens

Since Specialization
Citations

This map shows the geographic impact of Violaine Llaurens'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 Violaine Llaurens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Violaine Llaurens more than expected).

Fields of papers citing papers by Violaine Llaurens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Violaine Llaurens. 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 Violaine Llaurens. The network helps show where Violaine Llaurens may publish in the future.

Co-authorship network of co-authors of Violaine Llaurens

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

All Works

20 of 20 papers shown
1.
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Lopez‐Roques, Céline, et al.. (2024). Increased Evolutionary Rate in the Z chromosome of Sympatric and Allopatric Species of Morpho Butterflies. Genome Biology and Evolution. 16(11). 2 indexed citations
3.
Condamine, Fabien L., et al.. (2023). Convergence in sympatric swallowtail butterflies reveals ecological interactions as a key driver of worldwide trait diversification. Proceedings of the National Academy of Sciences. 120(37). e2303060120–e2303060120. 4 indexed citations
4.
5.
Bastide, Héloïse, Manuela López‐Villavicencio, David Ogereau, et al.. (2022). Genome assembly of 3 Amazonian Morpho butterfly species reveals Z-chromosome rearrangements between closely related species living in sympatry. GigaScience. 12. 2 indexed citations
6.
Godoy‐Diana, Ramiro, et al.. (2022). Divergence of climbing escape flight performance inMorphobutterflies living in different microhabitats. Journal of Experimental Biology. 225(15).
7.
Herrel, Anthony, et al.. (2022). Evidence of attack deflection suggests adaptive evolution of wing tails in butterflies. Proceedings of the Royal Society B Biological Sciences. 289(1975). 20220562–20220562. 15 indexed citations
8.
Llaurens, Violaine, et al.. (2022). Origin and persistence of polymorphism in loci targeted by disassortative preference: a general model. Journal of Mathematical Biology. 86(1). 4–4.
9.
Roux, Camille, et al.. (2021). Convergent morphology and divergent phenology promote the coexistence of Morpho butterfly species. Nature Communications. 12(1). 7248–7248. 11 indexed citations
10.
Muijres, Florian T., et al.. (2021). Adaptive evolution of flight in Morpho butterflies. Science. 374(6571). 1158–1162. 20 indexed citations
11.
McClure, Mélanie, et al.. (2021). Assessing the Role of Developmental and Environmental Factors in Chemical Defence Variation in Heliconiini Butterflies. Journal of Chemical Ecology. 47(6). 577–587. 2 indexed citations
12.
Llaurens, Violaine, et al.. (2020). Convergence in sympatry: Evolution of blue‐banded wing pattern in Morpho butterflies. Journal of Evolutionary Biology. 34(2). 284–295. 10 indexed citations
13.
Durand, Éléonore, Maxime Chantreau, Manu Dubin, et al.. (2020). Evolution of self‐incompatibility in the Brassicaceae: Lessons from a textbook example of natural selection. Evolutionary Applications. 13(6). 1279–1297. 30 indexed citations
14.
Arias, Mónica, John W. Davey, Simon H. Martin, et al.. (2020). How do predators generalize warning signals in simple and complex prey communities? Insights from a videogame. Proceedings of the Royal Society B Biological Sciences. 287(1921). 20200014–20200014. 6 indexed citations
15.
Kozak, Krzysztof M., et al.. (2020). Variation of chemical compounds in wild Heliconiini reveals ecological factors involved in the evolution of chemical defenses in mimetic butterflies. Ecology and Evolution. 10(5). 2677–2694. 20 indexed citations
16.
Debat, Vincent, et al.. (2019). Adaptive evolution of butterfly wing shape: from morphology to behaviour. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 94(4). 1261–1281. 104 indexed citations
17.
Poul, Yann Le, Annabel Whibley, Mathieu Chouteau, et al.. (2014). Evolution of dominance mechanisms at a butterfly mimicry supergene. Nature Communications. 5(1). 5644–5644. 69 indexed citations
18.
19.
Llaurens, Violaine, et al.. (2009). The sheltered genetic load linked to the S locus in plants: new insights from theoretical and empirical approaches in sporophytic self-incompatibility. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
20.
Blanckenhorn, Wolf U. & Violaine Llaurens. (2005). Effects of temperature on cell size and number in the yellow dung fly Scathophaga stercoraria. Journal of Thermal Biology. 30(3). 213–219. 44 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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