Sonia Tarazona

3.7k total citations · 2 hit papers
14 papers, 2.4k citations indexed

About

Sonia Tarazona is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sonia Tarazona has authored 14 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Sonia Tarazona's work include Gene expression and cancer classification (7 papers), Gene Regulatory Network Analysis (5 papers) and Bioinformatics and Genomic Networks (5 papers). Sonia Tarazona is often cited by papers focused on Gene expression and cancer classification (7 papers), Gene Regulatory Network Analysis (5 papers) and Bioinformatics and Genomic Networks (5 papers). Sonia Tarazona collaborates with scholars based in Spain, France and Argentina. Sonia Tarazona's co-authors include Ana Conesa, Joaquı́n Dopazo, Fernando García-Alcalde, Alberto Ferrer, María José Nueda, Stefan Götz, Luis Miguel González Cruz, Konstantin Okonechnikov, Thomas F. Meyer and José Carbonell‐Caballero and has published in prestigious journals such as Bioinformatics, PLoS ONE and Genome Research.

In The Last Decade

Sonia Tarazona

14 papers receiving 2.3k citations

Hit Papers

Differential expression in RNA-seq: A matter of depth 2011 2026 2016 2021 2011 2012 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Differential expression in RNA-seq: A matter of depth
    2011 1.2k citations Sonia Tarazona, Fernando García-Alcalde et al. Genome Research profile →
  2. Qualimap: evaluating next-generation sequencing alignment data
    2012 724 citations Fernando García-Alcalde, Konstantin Okonechnikov et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonia Tarazona Spain 10 1.4k 489 370 328 166 14 2.4k
Sonia Tarazona Spain 16 2.1k 1.5× 461 0.9× 590 1.6× 340 1.0× 239 1.4× 31 3.2k
Adrian Alexa Germany 8 1.2k 0.9× 432 0.9× 250 0.7× 350 1.1× 189 1.1× 8 2.1k
Rolf H. A. M. Vossen Netherlands 23 1.4k 1.0× 289 0.6× 278 0.8× 497 1.5× 145 0.9× 50 2.2k
Flavio Mignone Italy 23 2.1k 1.4× 410 0.8× 500 1.4× 370 1.1× 133 0.8× 57 2.9k
Alexander I. Saeed United States 6 1.3k 0.9× 443 0.9× 224 0.6× 222 0.7× 222 1.3× 7 2.2k
Eleanor Howe United States 7 1.4k 1.0× 558 1.1× 306 0.8× 180 0.5× 239 1.4× 9 2.4k
Pedro Madrigal United Kingdom 17 2.4k 1.7× 702 1.4× 520 1.4× 333 1.0× 174 1.0× 29 3.3k
Anna I. Rissman United States 6 962 0.7× 395 0.8× 192 0.5× 161 0.5× 109 0.7× 6 1.6k
Tatiana Borodina Germany 14 2.5k 1.8× 431 0.9× 687 1.9× 539 1.6× 160 1.0× 25 3.3k
Saskia Hiltemann Netherlands 13 1.8k 1.2× 427 0.9× 232 0.6× 351 1.1× 214 1.3× 25 2.9k

Countries citing papers authored by Sonia Tarazona

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Tarazona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Tarazona

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

All Works

14 of 14 papers shown
1.
Conesa, Ana, et al.. (2025). MORE interpretable multi-omic regulatory networks to characterise phenotypes. Briefings in Bioinformatics. 26(3). 1 indexed citations
2.
Arzalluz-Luque, Ángeles, et al.. (2025). MOSim: bulk and single-cell multilayer regulatory network simulator. Briefings in Bioinformatics. 26(2). 1 indexed citations
3.
Gómez-Ferrer, Marta, Imelda Ontoria‐Oviedo, Sonia Tarazona, et al.. (2024). Extracellular vesicles from dental pulp mesenchymal stem cells modulate macrophage phenotype during acute and chronic cardiac inflammation in athymic nude rats with myocardial infarction. Inflammation and Regeneration. 44(1). 25–25. 13 indexed citations
4.
Martí, Mónica Climente, et al.. (2022). Machine-learning-derived predictive score for early estimation of COVID-19 mortality risk in hospitalized patients. PLoS ONE. 17(9). e0274171–e0274171. 5 indexed citations
5.
Nueda, María José, et al.. (2022). MultiBaC: an R package to remove batch effects in multi-omic experiments. Bioinformatics. 38(9). 2657–2658. 11 indexed citations
6.
Ponzoni, Ignacio, María José Nueda, Sonia Tarazona, et al.. (2014). Pathway network inference from gene expression data. BMC Systems Biology. 8(S2). S7–S7. 30 indexed citations
7.
Sebastián-León, Patricia, Enrique Vidal, Pablo Mínguez, et al.. (2014). Understanding disease mechanisms with models of signaling pathway activities. BMC Systems Biology. 8(1). 121–121. 34 indexed citations
8.
Nueda, María José, Sonia Tarazona, & Ana Conesa. (2014). Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series. Bioinformatics. 30(18). 2598–2602. 230 indexed citations
9.
García-Alcalde, Fernando, Konstantin Okonechnikov, José Carbonell‐Caballero, et al.. (2012). Qualimap: evaluating next-generation sequencing alignment data. Bioinformatics. 28(20). 2678–2679. 724 indexed citations breakdown →
10.
Tarazona, Sonia, Fernando García-Alcalde, Joaquı́n Dopazo, Alberto Ferrer, & Ana Conesa. (2011). Differential expression in RNA-seq: A matter of depth. Genome Research. 21(12). 2213–2223. 1182 indexed citations breakdown →
11.
Tarazona, Sonia, Sonia Prado‐Lòpez, Joaquı́n Dopazo, Alberto Ferrer, & Ana Conesa. (2011). Variable selection for multifactorial genomic data. Chemometrics and Intelligent Laboratory Systems. 110(1). 113–122. 6 indexed citations
12.
Prado‐Lòpez, Sonia, Ana Conesa, Ana Armiñán, et al.. (2010). Hypoxia Promotes Efficient Differentiation of Human Embryonic Stem Cells to Functional Endothelium. Stem Cells. 28(3). 407–418. 80 indexed citations
13.
Conesa, Ana, J.M. Prats-Montalbán, Sonia Tarazona, María José Nueda, & Alberto Ferrer. (2010). A multiway approach to data integration in systems biology based on Tucker3 and N-PLS. Chemometrics and Intelligent Laboratory Systems. 104(1). 101–111. 26 indexed citations
14.
Nueda, María José, Patricia Sebastián-León, Sonia Tarazona, et al.. (2009). Functional assessment of time course microarray data. BMC Bioinformatics. 10(S6). S9–S9. 26 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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