Argelia Cuenca

1.4k total citations
48 papers, 997 citations indexed

About

Argelia Cuenca is a scholar working on Immunology, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Argelia Cuenca has authored 48 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 22 papers in Animal Science and Zoology and 16 papers in Molecular Biology. Recurrent topics in Argelia Cuenca's work include Aquaculture disease management and microbiota (24 papers), Animal Virus Infections Studies (22 papers) and Viral gastroenteritis research and epidemiology (7 papers). Argelia Cuenca is often cited by papers focused on Aquaculture disease management and microbiota (24 papers), Animal Virus Infections Studies (22 papers) and Viral gastroenteritis research and epidemiology (7 papers). Argelia Cuenca collaborates with scholars based in Denmark, United States and Italy. Argelia Cuenca's co-authors include Ole Seberg, Gitte Petersen, Conny Bruun Asmussen Lange, Niccolò Vendramin, Jerrold I. Davis, Ian Max Møller, Niels Jørgen Olesen, Freek T. Bakker, James Richardson and Martijn Staats and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecular Ecology.

In The Last Decade

Argelia Cuenca

46 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Argelia Cuenca Denmark 17 493 324 263 257 176 48 997
Mie N. Honjo Japan 22 517 1.0× 134 0.4× 532 2.0× 206 0.8× 158 0.9× 50 1.3k
Debra A. Waters United States 10 459 0.9× 124 0.4× 110 0.4× 40 0.2× 191 1.1× 12 826
Qing Zhao China 16 257 0.5× 253 0.8× 146 0.6× 20 0.1× 99 0.6× 74 839
Eiji Nagayasu Japan 13 498 1.0× 89 0.3× 223 0.8× 67 0.3× 207 1.2× 30 1.1k
A. E. R. Downe Canada 22 572 1.2× 178 0.5× 329 1.3× 128 0.5× 166 0.9× 62 1.4k
Yanjie Liu China 12 197 0.4× 125 0.4× 107 0.4× 130 0.5× 90 0.5× 36 555
Karen Kelley United States 16 170 0.3× 39 0.1× 132 0.5× 45 0.2× 87 0.5× 38 665
Kazuya Nagai Japan 15 184 0.4× 147 0.5× 234 0.9× 80 0.3× 74 0.4× 65 751
Zhenhua Guo China 17 541 1.1× 382 1.2× 671 2.6× 20 0.1× 258 1.5× 35 1.3k

Countries citing papers authored by Argelia Cuenca

Since Specialization
Citations

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

Fields of papers citing papers by Argelia Cuenca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Argelia Cuenca

This figure shows the co-authorship network connecting the top 25 collaborators of Argelia Cuenca. A scholar is included among the top collaborators of Argelia Cuenca 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 Argelia Cuenca. Argelia Cuenca 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.
Iburg, Tine Moesgaard, et al.. (2025). Krill supplement does not reduce virus load or heart pathology during PRV-3 infection in rainbow trout under experimental conditions. Aquaculture Reports. 41. 102681–102681. 1 indexed citations
3.
Vendramin, Niccolò, et al.. (2024). Distribution and Genotyping of Infectious Hematopoietic Necrosis Virus in Farmed Rainbow Trout and Autochthonous Salmonids in North Macedonia. Macedonian Veterinary Review. 47(1). 37–43. 1 indexed citations
4.
Polinski, Mark P., Sarah M. Turner, Niccolò Vendramin, et al.. (2024). Rapid differentiation of infectious salmon anemia virus avirulent (HPR0) from virulent (HPRΔ) variants using multiplex RT-qPCR. Journal of Veterinary Diagnostic Investigation. 36(3). 329–337. 2 indexed citations
5.
Cuenca, Argelia, et al.. (2024). A novel high-throughput qPCR chip for solving co-infections in RAS farmed rainbow trout. Scientific Reports. 14(1). 16802–16802. 4 indexed citations
6.
Kim, Hyoung Jun, Se Ryun Kwon, Niels Jørgen Olesen, & Argelia Cuenca. (2023). Development of a novel real-time RT-PCR method using peptide nucleic acid (PNA) probes for detecting and genotyping of viral haemorrhagic septicaemia virus (VHSV). Aquaculture. 570. 739408–739408. 4 indexed citations
7.
Fosse, Johanna Hol, Maria Aamelfot, Simon Chioma Weli, et al.. (2022). Salmon Erythrocytes Sequester Active Virus Particles in Infectious Salmon Anaemia. Viruses. 14(2). 310–310. 9 indexed citations
8.
Allal, François, Alain Vergnet, Marc Vandeputte, et al.. (2021). Different survival of three populations of European sea bass (Dicentrarchus labrax) following challenge with two variants of nervous necrosis virus (NNV). Aquaculture Reports. 19. 100621–100621. 9 indexed citations
10.
Baillon, Laury, Emilie Mérour, Joëlle Cabon, et al.. (2020). The Viral Hemorrhagic Septicemia Virus (VHSV) Markers of Virulence in Rainbow Trout (Oncorhynchus mykiss). Frontiers in Microbiology. 11. 574231–574231. 32 indexed citations
11.
Zamperin, Gianpiero, Pierrick Lucas, Irene Cano, et al.. (2019). Sequencing of animal viruses: quality data assurance for NGS bioinformatics. Virology Journal. 16(1). 140–140. 10 indexed citations
12.
Vendramin, Niccolò, Dhamotharan Kannimuthu, Anne Berit Olsen, et al.. (2019). Piscine orthoreovirus subtype 3 (PRV-3) causes heart inflammation in rainbow trout (Oncorhynchus mykiss). Veterinary Research. 50(1). 14–14. 33 indexed citations
13.
Kannimuthu, Dhamotharan, Niccolò Vendramin, Turhan Markussen, et al.. (2018). Molecular and Antigenic Characterization of Piscine orthoreovirus (PRV) from Rainbow Trout (Oncorhynchus mykiss). Viruses. 10(4). 170–170. 42 indexed citations
14.
Petersen, Gitte, Argelia Cuenca, Athanasios Zervas, et al.. (2017). Mitochondrial genome evolution in Alismatales: Size reduction and extensive loss of ribosomal protein genes. PLoS ONE. 12(5). e0177606–e0177606. 38 indexed citations
15.
Petersen, Gitte, Argelia Cuenca, & Ole Seberg. (2015). Plastome Evolution in Hemiparasitic Mistletoes. Genome Biology and Evolution. 7(9). 2520–2532. 63 indexed citations
16.
Cuenca, Argelia, Gitte Petersen, & Ole Seberg. (2013). The Complete Sequence of the Mitochondrial Genome of Butomus umbellatus – A Member of an Early Branching Lineage of Monocotyledons. PLoS ONE. 8(4). e61552–e61552. 14 indexed citations
17.
Cuenca, Argelia, Gitte Petersen, Ole Seberg, & A. Hope Jahren. (2012). Genes and Processed Paralogs Co-exist in Plant Mitochondria. Journal of Molecular Evolution. 74(3-4). 158–169. 13 indexed citations
18.
Staats, Martijn, Argelia Cuenca, James Richardson, et al.. (2011). DNA Damage in Plant Herbarium Tissue. PLoS ONE. 6(12). e28448–e28448. 142 indexed citations
19.
Cuenca, Argelia, Gitte Petersen, Ole Seberg, Jerrold I. Davis, & Dennis W. Stevenson. (2010). Are substitution rates and RNA editing correlated?. BMC Evolutionary Biology. 10(1). 349–349. 34 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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