Pedro Furió‐Tarí

4.3k citations
7 papers · 834 indexed · 1 hit paper · h-index 7
Topics
Gene expression and cancer classification (3 papers)Bioinformatics and Genomic Networks (2 papers)RNA Research and Splicing (2 papers)

In The Last Decade

Pedro Furió‐Tarí

7 papers receiving 822 citations

Hit Papers

Data quality aware analysis of differential expression in...20152026201820222015100200300400500

Peers

Pedro Furió‐Tarí
Comparison fields: 5 of 98
  • Molecular Biology 561
  • Cancer Research 184
  • Plant Science 146
  • Genetics 97
  • Immunology 63
Replace Li Deng with:
Li Deng China
Caroline Le Gall France
John A. Dawson United States
James Bullard United States
Marine Jeanmougin Norway
Yuchen Wang China
А. В. Солдатов Russia
Delphine Fagegaltier United States
Olga Botvinnik United States
M. Szymański Poland
Pedro Furió‐Tarí relative to Li Deng China Li Deng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pedro Furió‐Tarí

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Furió‐Tarí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Furió‐Tarí. 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 Pedro Furió‐Tarí. The network helps show where Pedro Furió‐Tarí may publish in the future.

Co-authorship network of co-authors of Pedro Furió‐Tarí

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 120
2 15
3 6
4 6
5 101
6 35
7
Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc packagebreakdown →
551

About Pedro Furió‐Tarí

Pedro Furió‐Tarí is a scholar working on Molecular Biology, Insect Science and Genetics, having authored 7 papers that have together received 834 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (184 citations), Molecular Biology (561 citations) and Aging (10 citations). Pedro Furió‐Tarí has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ana Conesa, Sonia Tarazona, María José Nueda, David Turrà, Alberto Ferrer, Antonio Di Pietro, Toni Gabaldón, Anton J. Enright, Γεώργιος Παππάς and Leandro Balzano‐Nogueira. Their work appears in journals such as Nucleic Acids Research, Molecular Ecology and BMC Bioinformatics.

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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