Sonia Tarazona

5.5k citations
31 papers · 3.2k indexed · 2 hit papers · h-index 16
Topics
Bioinformatics and Genomic Networks (11 papers)Gene expression and cancer classification (9 papers)RNA Research and Splicing (5 papers)
Journals
Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Sonia Tarazona

31 papers receiving 3.2k citations

Hit Papers

A survey of best practices for RNA-seq data analysis20152026201820222016201550010001.5k

Peers

Sonia Tarazona
Comparison fields: 5 of 148
  • Molecular Biology 2.1k
  • Cancer Research 590
  • Plant Science 461
  • Genetics 340
  • Immunology 239
Replace Ian Sudbery with:
Ian Sudbery United Kingdom
Debasish Raha United States
Pedro Madrigal United Kingdom
Jake R. Conway United States
Sonia Tarazona Spain
Céline Keime France
Michał Okoniewski Switzerland
Flavio Mignone Italy
David García‐Seisdedos Spain
Cory Brouwer United States
Sonia Tarazona relative to Ian Sudbery United Kingdom Ian Sudbery's profile →
Citations per field
00.5×1.5×
Ian Sudbery · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 60
3 11
4 12
5 94
6 2
7 14
8 65
9 38
10 6
11 9
12 120
13 59
14 6
15 15
16 6
17 6
18
A survey of best practices for RNA-seq data analysisbreakdown →
1705
19 25
20
Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc packagebreakdown →
551

About Sonia Tarazona

Sonia Tarazona is a scholar working on Molecular Biology, Hepatology and Cancer Research, having authored 31 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (9 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (590 citations), Molecular Biology (2.1k citations) and Aging (26 citations). Sonia Tarazona has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ana Conesa, David Gómez-Cabrero, Andrew McPherson, Pedro Madrigal, Daniel J. Gaffney, Michał Wojciech Szcześniak, Xuegong Zhang, Alejandra Cervera, Laura L. Elo and A Mortazavi. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

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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