Mónica Arias

588 total citations
18 papers, 332 citations indexed

About

Mónica Arias is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecology. According to data from OpenAlex, Mónica Arias has authored 18 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Genetics and 3 papers in Ecology. Recurrent topics in Mónica Arias's work include Plant and animal studies (10 papers), Animal Behavior and Reproduction (9 papers) and Genetic diversity and population structure (4 papers). Mónica Arias is often cited by papers focused on Plant and animal studies (10 papers), Animal Behavior and Reproduction (9 papers) and Genetic diversity and population structure (4 papers). Mónica Arias collaborates with scholars based in France, United Kingdom and Colombia. Mónica Arias's co-authors include Mathieu Chouteau, Mathieu Joron, Violaine Llaurens, Marianne Élias, Marc Théry, Yann Le Poul, Neil Rosser, Johanna Mappes, Doris Gomez and Adolfo Amézquita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mónica Arias

16 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mónica Arias France 11 244 147 75 47 44 18 332
Thomas Blankers Germany 11 183 0.8× 140 1.0× 66 0.9× 29 0.6× 25 0.6× 20 287
Hui‐Yun Tseng Taiwan 10 171 0.7× 102 0.7× 64 0.9× 92 2.0× 38 0.9× 33 281
Cerisse E. Allen United States 6 233 1.0× 209 1.4× 35 0.5× 60 1.3× 44 1.0× 9 348
Edwin Scholes United States 10 270 1.1× 91 0.6× 55 0.7× 79 1.7× 30 0.7× 16 369
Katja Rönkä Finland 6 232 1.0× 115 0.8× 57 0.8× 41 0.9× 28 0.6× 14 286
M. Catherine Duryea United States 9 179 0.7× 119 0.8× 95 1.3× 94 2.0× 47 1.1× 15 312
Erin E. Brandt United States 6 127 0.5× 176 1.2× 27 0.4× 66 1.4× 40 0.9× 9 277
Chad D. Brock United States 9 161 0.7× 141 1.0× 86 1.1× 84 1.8× 64 1.5× 10 354
David M. Zonana United States 8 224 0.9× 137 0.9× 29 0.4× 83 1.8× 23 0.5× 13 336
Jahnavi Joshi India 11 93 0.4× 127 0.9× 66 0.9× 31 0.7× 63 1.4× 24 262

Countries citing papers authored by Mónica Arias

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Arias

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

All Works

18 of 18 papers shown
1.
Arias, Mónica, et al.. (2025). The American cocoa pod borer, Carmenta foraseminis , an emerging pest of cocoa: A review. Agricultural and Forest Entomology. 27(3). 340–356.
2.
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
3.
Arias, Mónica, et al.. (2024). [Translated article] Exploring the potential of artificial intelligence in traumatology: Conversational answers to specific questions. Revista Española de Cirugía Ortopédica y Traumatología. 69(1). T38–T46.
4.
González, Camila, Liliana Ballesteros‐Mejia, Delphine Gey, et al.. (2023). Deadly and venomous Lonomia caterpillars are more than the two usual suspects. PLoS neglected tropical diseases. 17(2). e0011063–e0011063. 3 indexed citations
5.
Jay, Paul, Yann Le Poul, Annabel Whibley, et al.. (2022). Association mapping of colour variation in a butterfly provides evidence that a supergene locks together a cluster of adaptive loci. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1856). 20210193–20210193. 23 indexed citations
6.
Arias, Mónica, et al.. (2021). Partial wing transparency works better when disrupting wing edges: Evidence from a field experiment. Journal of Evolutionary Biology. 34(11). 1840–1846. 1 indexed citations
7.
Gomez, Doris, Mónica Arias, Jérôme Barbut, et al.. (2021). Wing transparency in butterflies and moths: structural diversity, optical properties, and ecological relevance. Ecological Monographs. 91(4). 10 indexed citations
8.
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
9.
Arias, Mónica, Johanna Mappes, Swanne P. Gordon, et al.. (2019). Transparency reduces predator detection in mimetic clearwing butterflies. Functional Ecology. 33(6). 1110–1119. 20 indexed citations
10.
Arias, Mónica, Marianne Élias, Christine Andraud, Serge Berthier, & Doris Gomez. (2019). Transparency improves concealment in cryptically coloured moths. Journal of Evolutionary Biology. 33(2). 247–252. 12 indexed citations
11.
Valero, Katharina C. Wollenberg, Joan Garcia‐Porta, Ariel Rodríguez, et al.. (2017). Transcriptomic and macroevolutionary evidence for phenotypic uncoupling between frog life history phases. Nature Communications. 8(1). 15213–15213. 43 indexed citations
12.
Arias, Mónica, et al.. (2016). Variation in cyanogenic compounds concentration within a Heliconius butterfly community: does mimicry explain everything?. BMC Evolutionary Biology. 16(1). 272–272. 20 indexed citations
13.
Chouteau, Mathieu, Mónica Arias, & Mathieu Joron. (2016). Warning signals are under positive frequency-dependent selection in nature. Proceedings of the National Academy of Sciences. 113(8). 2164–2169. 102 indexed citations
14.
Arias, Mónica, Yann Le Poul, Mathieu Chouteau, et al.. (2016). Crossing fitness valleys: empirical estimation of a fitness landscape associated with polymorphic mimicry. Proceedings of the Royal Society B Biological Sciences. 283(1829). 20160391–20160391. 30 indexed citations
15.
16.
Arias, Mónica, Johanna Mappes, Marc Théry, & Violaine Llaurens. (2015). Inter-species variation in unpalatability does not explain polymorphism in a mimetic species. Evolutionary Ecology. 30(3). 419–433. 17 indexed citations
17.
Rodríguez, Juan Carlos, et al.. (2013). Effect of wildfires on the genetic microbial diversity in forest soils from Canary Islands (Spain). SHILAP Revista de lepidopterología. 1 indexed citations
18.
Amézquita, Adolfo, et al.. (2013). Field but not lab paradigms support generalisation by predators of aposematic polymorphic prey: the Oophaga histrionica complex. Evolutionary Ecology. 27(4). 769–782. 32 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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