Vicente Arnau

1.7k total citations · 1 hit paper
37 papers, 1.0k citations indexed

About

Vicente Arnau is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Vicente Arnau has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Ecology and 5 papers in Plant Science. Recurrent topics in Vicente Arnau's work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (10 papers) and Algorithms and Data Compression (4 papers). Vicente Arnau is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (10 papers) and Algorithms and Data Compression (4 papers). Vicente Arnau collaborates with scholars based in Spain, United States and United Kingdom. Vicente Arnau's co-authors include Ignacio Marı́n, Peter D’Eustachio, Henning Hermjakob, Pablo Marín-García, Konstantinos Sidiropoulos, Guilherme Viteri, Lincoln Stein, Antonio Fabregat, Wladimiro Dı́az-Villanueva and Miguel Gallach and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Vicente Arnau

34 papers receiving 1.0k citations

Hit Papers

Reactome pathway analysis: a high-performance in-memory a... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vicente Arnau Spain 12 564 147 104 94 82 37 1.0k
Xiang Wu China 19 456 0.8× 113 0.8× 76 0.7× 78 0.8× 64 0.8× 46 886
Konstantinos Sidiropoulos United Kingdom 9 650 1.2× 194 1.3× 95 0.9× 73 0.8× 163 2.0× 23 1.2k
Guilherme Viteri United Kingdom 6 646 1.1× 193 1.3× 91 0.9× 73 0.8× 161 2.0× 7 1.1k
Andrea Pierleoni Italy 13 977 1.7× 128 0.9× 100 1.0× 99 1.1× 47 0.6× 22 1.5k
Kaori Ide Japan 17 706 1.3× 71 0.5× 104 1.0× 51 0.5× 42 0.5× 53 1.1k
Daniel G. Rudmann United States 17 332 0.6× 128 0.9× 136 1.3× 42 0.4× 77 0.9× 28 1.0k
Krishanpal Anamika India 14 879 1.6× 57 0.4× 117 1.1× 66 0.7× 153 1.9× 25 1.3k
В. А. Иванисенко Russia 23 885 1.6× 92 0.6× 180 1.7× 105 1.1× 90 1.1× 148 1.5k
Pablo Marín-García Spain 13 839 1.5× 158 1.1× 175 1.7× 69 0.7× 157 1.9× 24 1.4k
Abhay Jere India 12 731 1.3× 56 0.4× 162 1.6× 60 0.6× 177 2.2× 18 1.3k

Countries citing papers authored by Vicente Arnau

Since Specialization
Citations

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

Fields of papers citing papers by Vicente Arnau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicente Arnau

This figure shows the co-authorship network connecting the top 25 collaborators of Vicente Arnau. A scholar is included among the top collaborators of Vicente Arnau 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 Vicente Arnau. Vicente Arnau 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.
Dı́az-Villanueva, Wladimiro, et al.. (2024). Alternative splicing across the tree of life. eLife. 13.
2.
Arnau, Vicente, Wladimiro Dı́az-Villanueva, Beatriz Beamud, et al.. (2023). Inference of the Life Cycle of Environmental Phages from Genomic Signature Distances to Their Hosts. Viruses. 15(5). 1196–1196. 3 indexed citations
3.
Soriano, Beatriz, Ahmed Ibrahem Hafez, Fernando Naya-Català, et al.. (2023). SAMBA: Structure-Learning of Aquaculture Microbiomes Using a Bayesian Approach. Genes. 14(8). 1650–1650. 9 indexed citations
4.
Hafez, Ahmed Ibrahem, Beatriz Soriano, Ricardo Futami, et al.. (2023). Client Applications and Server-Side Docker for Management of RNASeq and/or VariantSeq Workflows and Pipelines of the GPRO Suite. Genes. 14(2). 267–267. 2 indexed citations
5.
Dı́az-Villanueva, Wladimiro, et al.. (2023). Genomic Signature in Evolutionary Biology: A Review. Biology. 12(2). 322–322. 10 indexed citations
6.
Arnau, Vicente, et al.. (2023). The microbiome of the ice-capped Cayambe Volcanic Complex in Ecuador. Frontiers in Microbiology. 14. 1154815–1154815. 5 indexed citations
7.
Arnau, Vicente, et al.. (2022). A feedback mechanism controls rDNA copy number evolution in yeast independently of natural selection. PLoS ONE. 17(9). e0272878–e0272878. 2 indexed citations
8.
Arnau, Vicente, et al.. (2022). DVGfinder: A Metasearch Tool for Identifying Defective Viral Genomes in RNA-Seq Data. Viruses. 14(5). 1114–1114. 11 indexed citations
9.
Arbona, Cristina, Luís Larrea, Wladimiro Dı́az-Villanueva, et al.. (2021). Deep viral blood metagenomics reveals extensive anellovirus diversity in healthy humans. Scientific Reports. 11(1). 6921–6921. 34 indexed citations
10.
Ruiz‐Ruiz, Susana, et al.. (2021). Exploring the universal healthy human gut microbiota around the World. Computational and Structural Biotechnology Journal. 20. 421–433. 37 indexed citations
11.
Devesa-Peiró, Almudena, Patricia Sebastián-León, Francisco García‐García, et al.. (2020). Uterine disorders affecting female fertility: what are the molecular functions altered in endometrium?. Fertility and Sterility. 113(6). 1261–1274. 34 indexed citations
12.
Tárraga, Joaquín, Felipe Javier Chaves, Pablo Marín-García, et al.. (2017). VISMapper: ultra-fast exhaustive cartography of viral insertion sites for gene therapy. BMC Bioinformatics. 18(1). 421–421. 1 indexed citations
13.
Fabregat, Antonio, Konstantinos Sidiropoulos, Guilherme Viteri, et al.. (2017). Reactome pathway analysis: a high-performance in-memory approach. BMC Bioinformatics. 18(1). 142–142. 533 indexed citations breakdown →
14.
Tárraga, Joaquín, et al.. (2016). HPG pore: an efficient and scalable framework for nanopore sequencing data. BMC Bioinformatics. 17(1). 107–107. 8 indexed citations
15.
Arnau, Vicente, Miguel Gallach, & Ignacio Marı́n. (2008). Fast comparison of DNA sequences by oligonucleotide profiling. BMC Research Notes. 1(1). 5–5. 6 indexed citations
16.
Arnau, Vicente, et al.. (2006). UVPAR: fast detection of functional shifts in duplicate genes. BMC Bioinformatics. 7(1). 174–174. 5 indexed citations
17.
Arnau, Vicente, et al.. (2006). Comparative Genomics and Protein Domain Graph Analyses Link Ubiquitination and RNA Metabolism. Journal of Molecular Biology. 357(1). 9–17. 29 indexed citations
18.
Arnau, Vicente, et al.. (2004). Iterative Cluster Analysis of Protein Interaction Data. Bioinformatics. 21(3). 364–378. 141 indexed citations
19.
Maldonado, Miguel J., et al.. (1997). Reproducibility of Digital Image Analysis for Measuring Corneal Haze After Myopic Photorefractive Keratectomy. American Journal of Ophthalmology. 123(1). 31–41. 29 indexed citations
20.
Maldonado, Miguel J., et al.. (1996). Direct Objective Quantification of Corneal Haze after Excimer Laser Photorefractive Keratectomy for High Myopia. Ophthalmology. 103(11). 1970–1978. 35 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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