Joaquín Tárraga

1.6k total citations
27 papers, 1.2k citations indexed

About

Joaquín Tárraga is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Joaquín Tárraga has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Genetics. Recurrent topics in Joaquín Tárraga's work include Genomics and Phylogenetic Studies (14 papers), Gene expression and cancer classification (10 papers) and Bioinformatics and Genomic Networks (9 papers). Joaquín Tárraga is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Gene expression and cancer classification (10 papers) and Bioinformatics and Genomic Networks (9 papers). Joaquín Tárraga collaborates with scholars based in Spain, United Kingdom and Switzerland. Joaquín Tárraga's co-authors include Joaquı́n Dopazo, Ignacio Medina, David Montaner, Fátima Al‐Shahrour, Pablo Mínguez, Eva Alloza, José Carbonell‐Caballero, Lucía Conde, Jaime Huerta‐Cepas and Julio Vera and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Joaquín Tárraga

27 papers receiving 1.2k citations

Peers

Joaquín Tárraga

GENET

IMMUN

Audra Johnson United States

Olga Botvinnik United States

Brad Marshall United States

Johannes T. Roehr Germany

Derek W. Barnett United States

Andreas Kähäri United Kingdom

Emily Dimmer United Kingdom

Jessica Alföldi United States

Hélène Auger France

Greg Von Kuster Germany

Audra Johnson United States

Joaquín Tárraga

964 ×1.2

259 ×1.2

GENET

190 ×1.2

131 ×1.4

70 ×0.9

IMMUN

Citations per year, relative to Joaquín Tárraga Joaquín Tárraga (= 1×) peers Audra Johnson

Countries citing papers authored by Joaquín Tárraga

Since Specialization

Citations

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

Fields of papers citing papers by Joaquín Tárraga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joaquín Tárraga

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

All Works

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20 of 20 papers shown

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

Orduña, Juan M., et al.. (2017). A new parallel pipeline for DNA methylation analysis of long reads datasets. BMC Bioinformatics. 18(1). 161–161. 9 indexed citations

Ferreiros, Javier, Matthias Haimel, Joaquín Tárraga, et al.. (2017). HGVA: the Human Genome Variation Archive. Nucleic Acids Research. 45(W1). W189–W194. 6 indexed citations

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

Medina, Ignacio, Joaquín Tárraga, Sergio Barrachina, et al.. (2016). Highly sensitive and ultrafast read mapping for RNA-seq analysis. DNA Research. 23(2). 93–100. 13 indexed citations

Torres, José Salavert, Andrés E. Tomás, Joaquín Tárraga, et al.. (2015). Fast inexact mapping using advanced tree exploration on backward search methods. BMC Bioinformatics. 16(1). 18–18. 2 indexed citations

Alonso, Roberto, Francisco Salavert, Francisco García‐García, et al.. (2015). Babelomics 5.0: functional interpretation for new generations of genomic data. Nucleic Acids Research. 43(W1). W117–W121. 89 indexed citations

Tárraga, Joaquín, et al.. (2015). A parallel and sensitive software tool for methylation analysis on multicore platforms. Bioinformatics. 31(19). 3130–3138. 7 indexed citations

Bleda, Marta, Joaquín Tárraga, Andrea De Maria, et al.. (2012). CellBase, a comprehensive collection of RESTful web services for retrieving relevant biological information from heterogeneous sources. Nucleic Acids Research. 40(W1). W609–W614. 26 indexed citations

10.

Sánchez, Rubén, François Serra, Joaquín Tárraga, et al.. (2011). Phylemon 2.0: a suite of web-tools for molecular evolution, phylogenetics, phylogenomics and hypotheses testing. Nucleic Acids Research. 39(suppl). W470–W474. 176 indexed citations

11.

Medina, Ignacio, David Montaner, Núria Bonifaci, et al.. (2009). Gene set-based analysis of polymorphisms: finding pathways or biological processes associated to traits in genome-wide association studies. Nucleic Acids Research. 37(suppl_2). W340–W344. 51 indexed citations

12.

Al‐Shahrour, Fátima, José Carbonell‐Caballero, Pablo Mínguez, et al.. (2008). Babelomics: advanced functional profiling of transcriptomics, proteomics and genomics experiments. Nucleic Acids Research. 36(Web Server). W341–W346. 67 indexed citations

13.

Tárraga, Joaquín, Ignacio Medina, José Carbonell‐Caballero, et al.. (2008). GEPAS, a web-based tool for microarray data analysis and interpretation. Nucleic Acids Research. 36(Web Server). W308–W314. 54 indexed citations

14.

Al‐Shahrour, Fátima, Pablo Mínguez, Joaquín Tárraga, et al.. (2007). FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments. Nucleic Acids Research. 35(suppl_2). W91–W96. 216 indexed citations

15.

Tárraga, Joaquín, Ignacio Medina, Leonardo Arbiza, et al.. (2007). Phylemon: a suite of web tools for molecular evolution, phylogenetics and phylogenomics. Nucleic Acids Research. 35(Web Server). W38–W42. 43 indexed citations

16.

Conde, Lucía, et al.. (2007). Functional profiling and gene expression analysis of chromosomal copy number alterations. Bioinformation. 1(10). 432–435. 2 indexed citations

17.

Conde, Lucía, David Montaner, J. Burguet–Castell, et al.. (2007). ISACGH: a web-based environment for the analysis of Array CGH and gene expression which includes functional profiling. Nucleic Acids Research. 35(Web Server). W81–W85. 27 indexed citations

18.

Al‐Shahrour, Fátima, Pablo Mínguez, Joaquín Tárraga, et al.. (2006). BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments. Nucleic Acids Research. 34(Web Server). W472–W476. 219 indexed citations

19.

Montaner, David, Joaquín Tárraga, Jaime Huerta‐Cepas, et al.. (2006). Next station in microarray data analysis: GEPAS. Nucleic Acids Research. 34(Web Server). W486–W491. 96 indexed citations

20.

Tárraga, Joaquín, et al.. (1999). Computer-aided parallelization of continuous media applications. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 431–441. 2 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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