Fernando Torres‐Pérez

1.5k total citations
45 papers, 980 citations indexed

About

Fernando Torres‐Pérez is a scholar working on Global and Planetary Change, Infectious Diseases and Ecology. According to data from OpenAlex, Fernando Torres‐Pérez has authored 45 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 13 papers in Infectious Diseases and 11 papers in Ecology. Recurrent topics in Fernando Torres‐Pérez's work include Viral Infections and Vectors (12 papers), Amphibian and Reptile Biology (11 papers) and Trypanosoma species research and implications (10 papers). Fernando Torres‐Pérez is often cited by papers focused on Viral Infections and Vectors (12 papers), Amphibian and Reptile Biology (11 papers) and Trypanosoma species research and implications (10 papers). Fernando Torres‐Pérez collaborates with scholars based in Chile, United States and Australia. Fernando Torres‐Pérez's co-authors include Brian Hjelle, R. Eduardo Palma, Joseph A. Cook, Damien Esquerré, Renee A. Catullo, Ian G. Brennan, J. Scott Keogh, Terry L. Yates, Marcela Ferrés and Dusan Boric‐Bargetto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Fernando Torres‐Pérez

43 papers receiving 963 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Torres‐Pérez Chile 17 371 360 236 220 206 45 980
Iván Castro-Arellano United States 20 337 0.9× 140 0.4× 480 2.0× 200 0.9× 457 2.2× 52 1.2k
Jonathan L. Dunnum United States 13 278 0.7× 208 0.6× 169 0.7× 193 0.9× 445 2.2× 28 995
Yannick Chaval France 26 500 1.3× 151 0.4× 305 1.3× 316 1.4× 596 2.9× 40 1.5k
Luis A. Ruedas United States 19 424 1.1× 305 0.8× 301 1.3× 196 0.9× 332 1.6× 55 1.1k
Émilie Lecompte France 21 688 1.9× 189 0.5× 499 2.1× 284 1.3× 630 3.1× 45 2.0k
Pedro Cordeiro Estrela de Andrade Pinto Brazil 24 245 0.7× 77 0.2× 324 1.4× 194 0.9× 450 2.2× 56 1.3k
Pavel Široký Czechia 25 584 1.6× 371 1.0× 439 1.9× 127 0.6× 394 1.9× 74 1.8k
Jaime J. Polop Argentina 19 285 0.8× 188 0.5× 165 0.7× 180 0.8× 526 2.6× 60 882
Jean-François Mauffrey France 13 125 0.3× 151 0.4× 237 1.0× 78 0.4× 214 1.0× 21 773
Ricardo Moratelli Brazil 20 272 0.7× 98 0.3× 781 3.3× 183 0.8× 368 1.8× 79 1.2k

Countries citing papers authored by Fernando Torres‐Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Torres‐Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Torres‐Pérez. 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 Fernando Torres‐Pérez. The network helps show where Fernando Torres‐Pérez may publish in the future.

Co-authorship network of co-authors of Fernando Torres‐Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Torres‐Pérez. A scholar is included among the top collaborators of Fernando Torres‐Pérez 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 Fernando Torres‐Pérez. Fernando Torres‐Pérez 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
2.
Torres‐Pérez, Fernando, et al.. (2024). Assessing Ecogeographic Rules in Two Sigmodontine Rodents along an Elevational Gradient in Central Chile. Animals. 14(6). 830–830. 2 indexed citations
3.
Torres‐Pérez, Fernando, et al.. (2022). Traumatic brain contusions. Romanian Neurosurgery. 224–229.
4.
Campos, R, et al.. (2020). Biogeographic origin and phylogenetic relationships of Mepraia (Hemiptera, Reduviidae) on islands of northern Chile. PLoS ONE. 15(6). e0234056–e0234056. 10 indexed citations
5.
Campos, R, et al.. (2020). Trypanosoma cruzi-infected triatomines and rodents co-occur in a coastal island of northern Chile. PeerJ. 8. e9967–e9967. 7 indexed citations
6.
Rodríguez‐Serrano, Enrique, et al.. (2019). Genetic variability and structure of the Olive Field Mouse: a sigmodontine rodent in a biodiversity hotspot of southern Chile. PeerJ. 7. e6955–e6955. 5 indexed citations
7.
Torres‐Pérez, Fernando, et al.. (2017). Trypanosoma cruzi over the ocean: Insular zones of Chile with presence of infected vector Mepraia species. Acta Tropica. 172. 229–231. 11 indexed citations
8.
Palma, R. Eduardo, et al.. (2017). Mountaintops phylogeography: A case study using small mammals from the Andes and the coast of central Chile. PLoS ONE. 12(7). e0180231–e0180231. 6 indexed citations
9.
Torres‐Pérez, Fernando, Dusan Boric‐Bargetto, & R. Eduardo Palma. (2016). Hantavirus en Chile: Nuevos roedores con potencial importancia epidemiológica. Revista médica de Chile. 144(6). 818–818. 7 indexed citations
10.
Vidal, Marcela A., et al.. (2015). Geometric morphometric analysis of the head of Microlophus atacamensis (Tropiduridae) in a latitudinal gradient. Zoological studies. 54(1). e24–e24. 7 indexed citations
11.
Campbell, Corey L., et al.. (2015). Transcriptome Markers of Viral Persistence in Naturally-Infected Andes Virus (Bunyaviridae) Seropositive Long-Tailed Pygmy Rice Rats. PLoS ONE. 10(4). e0122935–e0122935. 7 indexed citations
12.
Campos, R, Fernando Torres‐Pérez, Carezza Botto‐Mahan, Ximena Coronado, & Aldo Solari. (2013). High phylogeographic structure in sylvatic vectors of Chagas disease of the genus Mepraia (Hemiptera: Reduviidae). Infection Genetics and Evolution. 19. 280–286. 24 indexed citations
14.
Palma, R. Eduardo, Dusan Boric‐Bargetto, Fernando Torres‐Pérez, Cristián E. Hernández, & Terry L. Yates. (2012). Glaciation Effects on the Phylogeographic Structure of Oligoryzomys longicaudatus (Rodentia: Sigmodontinae) in the Southern Andes. PLoS ONE. 7(3). e32206–e32206. 34 indexed citations
15.
Schountz, Tony, Joseph Prescott, Fernando Torres‐Pérez, et al.. (2012). Kinetics of Immune Responses in Deer Mice Experimentally Infected with Sin Nombre Virus. Journal of Virology. 86(18). 10015–10027. 34 indexed citations
16.
Torres‐Pérez, Fernando, R. Eduardo Palma, Brian Hjelle, Edward C. Holmes, & Joseph A. Cook. (2011). Spatial but not temporal co-divergence of a virus and its mammalian host. Molecular Ecology. 20(19). 4109–4122. 29 indexed citations
17.
Pesko, Kendra, et al.. (2010). Molecular epidemiology of Powassan virus in North America. Journal of General Virology. 91(11). 2698–2705. 51 indexed citations
18.
Torres‐Pérez, Fernando, et al.. (2010). Statistical phylogeography of Chagas disease vector Triatoma infestans: Testing biogeographic hypotheses of dispersal. Infection Genetics and Evolution. 11(1). 167–174. 26 indexed citations
19.
Torres‐Pérez, Fernando, R. Eduardo Palma, Brian Hjelle, Marcela Ferrés, & Joseph A. Cook. (2009). Andes virus infections in the rodent reservoir and in humans vary across contrasting landscapes in Chile. Infection Genetics and Evolution. 10(6). 819–824. 15 indexed citations
20.
Méndez, Marco A., et al.. (2006). GENETIC DIVERGENCE IN THE ENDANGERED FROG INSUETOPHRYNUS ACARPICUS (ANURA: LEPTODACTYLIDAE). Herpetological Journal. 16(1). 93–96. 6 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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