Román Vilas

1.1k total citations
40 papers, 898 citations indexed

About

Román Vilas is a scholar working on Ecology, Genetics and Small Animals. According to data from OpenAlex, Román Vilas has authored 40 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, 20 papers in Genetics and 13 papers in Small Animals. Recurrent topics in Román Vilas's work include Parasite Biology and Host Interactions (23 papers), Genetic diversity and population structure (15 papers) and Helminth infection and control (13 papers). Román Vilas is often cited by papers focused on Parasite Biology and Host Interactions (23 papers), Genetic diversity and population structure (15 papers) and Helminth infection and control (13 papers). Román Vilas collaborates with scholars based in Spain, Chile and United States. Román Vilas's co-authors include Charles D. Criscione, Michael S. Blouin, Esperanza Paniagua, Paulino Martı́nez, Carmen Bouza, Manuel Vera, M. L. Sanmartín, Belén G. Pardo, Carlos Fernández and Adrián Millán and has published in prestigious journals such as Genetics, International Journal of Molecular Sciences and Molecular Ecology.

In The Last Decade

Román Vilas

40 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Román Vilas Spain 17 476 352 243 206 161 40 898
Haakon Hansen Norway 22 936 2.0× 152 0.4× 189 0.8× 274 1.3× 168 1.0× 56 1.2k
Larisa G. Poddubnaya Russia 18 917 1.9× 94 0.3× 403 1.7× 363 1.8× 88 0.5× 86 982
Michael A. Barger United States 14 1.0k 2.2× 116 0.3× 411 1.7× 455 2.2× 159 1.0× 61 1.2k
Jan Brabec Czechia 21 1.1k 2.3× 89 0.3× 364 1.5× 484 2.3× 139 0.9× 48 1.2k
Craig J. Hayward Australia 16 876 1.8× 88 0.3× 187 0.8× 318 1.5× 82 0.5× 28 939
John S. Mackiewicz United States 22 1.2k 2.5× 151 0.4× 471 1.9× 340 1.7× 104 0.6× 73 1.3k
Magdaléna Bruňanská Slovakia 19 795 1.7× 100 0.3× 351 1.4× 301 1.5× 71 0.4× 59 835
Mario George‐Nascimento Chile 21 1.2k 2.6× 127 0.4× 299 1.2× 507 2.5× 67 0.4× 88 1.4k
Jean Mariaux Switzerland 18 1.6k 3.3× 161 0.5× 556 2.3× 660 3.2× 174 1.1× 74 1.7k
Hans‐Peter Fagerholm Finland 20 820 1.7× 73 0.2× 297 1.2× 363 1.8× 80 0.5× 48 988

Countries citing papers authored by Román Vilas

Since Specialization
Citations

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

Fields of papers citing papers by Román Vilas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Román Vilas

This figure shows the co-authorship network connecting the top 25 collaborators of Román Vilas. A scholar is included among the top collaborators of Román Vilas 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 Román Vilas. Román Vilas 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.
Beesley, Nicola J., Román Vilas, Esperanza Paniagua, et al.. (2021). Evidence of population structuring following population genetic analyses of Fasciola hepatica from Argentina. International Journal for Parasitology. 51(6). 471–480. 6 indexed citations
2.
Prado, Fernanda Dotti do, Manuel Vera, Miguel Hermida, et al.. (2018). Parallel evolution and adaptation to environmental factors in a marine flatfish: Implications for fisheries and aquaculture management of the turbot (Scophthalmus maximus). Evolutionary Applications. 11(8). 1322–1341. 39 indexed citations
3.
Vilas, Román, et al.. (2015). Influence of life history traits on the population genetic structure of parasitic helminths: a minireview. Folia Parasitologica. 62. 7 indexed citations
4.
Vilas, Román, et al.. (2015). Temporal genetic variation of Fasciola hepatica from sheep in Galicia (NW Spain). Veterinary Parasitology. 209(3-4). 268–272. 5 indexed citations
5.
González‐Díaz, Humberto, et al.. (2013). A QSPR-like model for multilocus genotype networks of Fasciola hepatica in Northwest Spain. Journal of Theoretical Biology. 343. 16–24. 6 indexed citations
6.
Vilas, Román, Asunción Cao, Belén G. Pardo, et al.. (2011). Very low microsatellite polymorphism and large heterozygote deficits suggest founder effects and cryptic structure in the parasite Perkinsus olseni. Infection Genetics and Evolution. 11(5). 904–911. 29 indexed citations
7.
Vilas, Román, et al.. (2010). Allozyme markers suitable for population genetic analysis of Fasciola hepatica. Veterinary Parasitology. 176(1). 84–88. 13 indexed citations
8.
González‐Díaz, Humberto, Lázaro G. Pérez‐Montoto, Aliuska Duardo-Sánchez, et al.. (2009). Generalized lattice graphs for 2D-visualization of biological information. Journal of Theoretical Biology. 261(1). 136–147. 35 indexed citations
9.
Bouza, Carmen, Miguel Hermida, Adrián Millán, et al.. (2008). Characterization of EST‐derived microsatellites for gene mapping and evolutionary genomics in turbot. Animal Genetics. 39(6). 666–670. 31 indexed citations
10.
Martı́nez, Paulino, J. Castro, Belén G. Pardo, et al.. (2008). High Ag-NOR-site variation associated to a secondary contact in brown trout from the Iberian Peninsula. Genetica. 136(3). 419–427. 4 indexed citations
11.
Vilas, Román, Charles D. Criscione, & Michael S. Blouin. (2005). A comparison between mitochondrial DNA and the ribosomal internal transcribed regions in prospecting for cryptic species of platyhelminth parasites. Parasitology. 131(6). 839–846. 203 indexed citations
12.
Vilas, Román & Esperanza Paniagua. (2004). Estimation of the prevalence of outcrossing in the hermaphrodite trematode Lecithochirium rufoviride by allozyme analysis. Acta Parasitologica. 49(1). 12–15. 6 indexed citations
13.
Vilas, Román, M. L. Sanmartín, & Esperanza Paniagua. (2004). Genetic variability of natural populations of trematodes of the genus Lecithochirium parasites of eels. Parasitology. 129(2). 191–201. 37 indexed citations
14.
Vilas, Román, Esperanza Paniagua, & Manuel L. Sanmartín. (2003). On the presence of Lecithochirium musculus (Digenea: Hemiuridae) in Conger conger. Folia Parasitologica. 50(2). 154–156. 5 indexed citations
15.
Vilas, Román, Esperanza Paniagua, & M. L. Sanmartín. (2002). Quaternary structure of enzymes in trematodes of the genus Lecithochirium: inference from allozymic patterns. Acta Parasitologica. 47(4). 1 indexed citations
18.
Vilas, Román, Esperanza Paniagua, & M. L. Sanmartín. (2002). The importance of a multidisciplinary approach in systematics: another opinion. Parasitology Research. 88(1). 89–91. 1 indexed citations
19.
Vilas, Román, Esperanza Paniagua, & M. L. Sanmartín. (2001). Difficulties in the genetic interpretation of isozyme patterns of Lecithochirium spp. (Trematoda: Digenea). Parasitology Research. 88(4). 311–314. 6 indexed citations
20.
Paniagua, Esperanza, Román Vilas, M. L. Sanmartín, et al.. (1999). Characterization by enzyme electrophoresis of specimens of the genusHelicometra(Trematoda, Opecoelidae) from fish caught off the coast of Northwest Spain. Parasite. 6(1). 89–91. 7 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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