Francisco Salavert

719 citations
14 papers · 409 indexed · h-index 12
Topics
Bioinformatics and Genomic Networks (11 papers)Gene expression and cancer classification (6 papers)Genomics and Phylogenetic Studies (4 papers)
Partner nations
SpainUnited Kingdom

In The Last Decade

Francisco Salavert

14 papers receiving 404 citations

Peers

Francisco Salavert
Comparison fields: 5 of 77
  • Molecular Biology 322
  • Genetics 106
  • Cancer Research 72
  • Computational Theory and Mathematics 32
  • Biophysics 21
Replace Alicia Amadoz with:
Alicia Amadoz Spain
Ung-Sik Yu South Korea
Vivek Das United States
Joseph Min United States
Jonathan Mélius Netherlands
Stephanie Fulmer-Smentek United States
Matteo Bersanelli Italy
Karen Rothfels Canada
Roumyana Yordanova United States
Frank Schacherer Germany
Francisco Salavert relative to Alicia Amadoz Spain Alicia Amadoz's profile →
Citations per field
00.5×1.5×1.9×
Alicia Amadoz · 1×
Citations per year

Countries citing papers authored by Francisco Salavert

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Salavert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Salavert

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Salavert. A scholar is included among the top collaborators of Francisco Salavert 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 Francisco Salavert. Francisco Salavert 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
#WorkIndexed citations
1 29
2 20
3 11
4 49
5 29
6 89
7 11
8 34
9 34
10 17
11 19
12 8
13 26
14 33

About Francisco Salavert

Francisco Salavert is a scholar working on Biophysics, Molecular Biology and Cancer Research, having authored 14 papers that have together received 409 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (6 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (72 citations), Molecular Biology (322 citations) and Genetics (106 citations). Francisco Salavert has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Joaquı́n Dopazo, Ignacio Medina, Alicia Amadoz, José Carbonell‐Caballero, Marta Bleda, Cankut Çubuk, Marta R. Hidalgo, Patricia Sebastián-León, Alejandro Alemán and Rubén Sánchez. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

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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