Fernando Escriu

652 total citations
13 papers, 494 citations indexed

About

Fernando Escriu is a scholar working on Plant Science, Endocrinology and Insect Science. According to data from OpenAlex, Fernando Escriu has authored 13 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 5 papers in Endocrinology and 4 papers in Insect Science. Recurrent topics in Fernando Escriu's work include Plant Virus Research Studies (12 papers), Plant and Fungal Interactions Research (5 papers) and Plant Parasitism and Resistance (5 papers). Fernando Escriu is often cited by papers focused on Plant Virus Research Studies (12 papers), Plant and Fungal Interactions Research (5 papers) and Plant Parasitism and Resistance (5 papers). Fernando Escriu collaborates with scholars based in Spain, Ireland and France. Fernando Escriu's co-authors include Fernando García‐Arenal, Aurora Fraile, Miguel A. Aranda, José M. Malpica, Keith L. Perry, Adrian J. Gibbs, M. Luis-Arteaga, José Luis Alonso‐Prados, Mónica Betancourt Vásquez and Luís Rubio and has published in prestigious journals such as Journal of Virology, Evolution and PLoS Pathogens.

In The Last Decade

Fernando Escriu

13 papers receiving 481 citations

Peers

Fernando Escriu
A. J. Gibbs Australia
V. Harju United Kingdom
S. L. Lenardon Argentina
Y. Séré Ivory Coast
A. Skelton United Kingdom
Fernando Escriu
Citations per year, relative to Fernando Escriu Fernando Escriu (= 1×) peers D. Fargette

Countries citing papers authored by Fernando Escriu

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Escriu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Escriu

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

All Works

13 of 13 papers shown
1.
Bernardo, Pauline, Brejnev Muhire, Sarah François, et al.. (2016). Molecular characterization and prevalence of two capulaviruses: Alfalfa leaf curl virus from France and Euphorbia caput-medusae latent virus from South Africa. Virology. 493. 142–153. 27 indexed citations
2.
Luis-Arteaga, M., et al.. (2014). Genetic Diversity, Reassortment, and Recombination inAlfalfa mosaic virusPopulation in Spain. Phytopathology. 104(11). 1241–1250. 18 indexed citations
3.
Vásquez, Mónica Betancourt, Fernando Escriu, Aurora Fraile, & Fernando García‐Arenal. (2013). Virulence evolution of a generalist plant virus in a heterogeneous host system. Evolutionary Applications. 6(6). 875–890. 18 indexed citations
4.
Escriu, Fernando, et al.. (2009). First Report of Pepper as a Natural Host for Pelargonium zonate spot virus in Spain. Plant Disease. 93(12). 1346–1346. 4 indexed citations
5.
Escriu, Fernando, et al.. (2008). New molecular methods for identification of Broad bean wilt virus 1. Molecular and Cellular Probes. 22(4). 223–227. 14 indexed citations
6.
Luis-Arteaga, M., et al.. (2008). Comparison of logistic regression and growth function models for the analysis of the incidence of virus infection. Spanish Journal of Agricultural Research. 6. 170–176. 6 indexed citations
7.
Escriu, Fernando, Aurora Fraile, & Fernando García‐Arenal. (2007). Constraints to Genetic Exchange Support Gene Coadaptation in a Tripartite RNA Virus. PLoS Pathogens. 3(1). e8–e8. 56 indexed citations
8.
Escriu, Fernando, Aurora Fraile, & Fernando García‐Arenal. (2003). THE EVOLUTION OF VIRULENCE IN A PLANT VIRUS. Evolution. 57(4). 755–765. 54 indexed citations
9.
Escriu, Fernando, Aurora Fraile, & Fernando García‐Arenal. (2003). THE EVOLUTION OF VIRULENCE IN A PLANT VIRUS. Evolution. 57(4). 755–755. 6 indexed citations
10.
García‐Arenal, Fernando, Fernando Escriu, Miguel A. Aranda, et al.. (2000). Molecular epidemiology of Cucumber mosaic virus and its satellite RNA. Virus Research. 71(1-2). 1–8. 61 indexed citations
11.
Escriu, Fernando, Keith L. Perry, & Fernando García‐Arenal. (2000). Transmissibility of Cucumber mosaic virus by Aphis gossypii Correlates with Viral Accumulation and Is Affected by the Presence of Its Satellite RNA. Phytopathology. 90(10). 1068–1072. 65 indexed citations
12.
Escriu, Fernando, Aurora Fraile, & Fernando García‐Arenal. (2000). Evolution of Virulence in Natural Populations of the Satellite RNA of Cucumber mosaic virus. Phytopathology. 90(5). 480–485. 57 indexed citations
13.
Fraile, Aurora, Fernando Escriu, Miguel A. Aranda, et al.. (1997). A century of tobamovirus evolution in an Australian population of Nicotiana glauca. Journal of Virology. 71(11). 8316–8320. 108 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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