José Villaveces

1.6k total citations · 1 hit paper
9 papers, 760 citations indexed

About

José Villaveces is a scholar working on Molecular Biology, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, José Villaveces has authored 9 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Information Systems and Management and 1 paper in Artificial Intelligence. Recurrent topics in José Villaveces's work include Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers) and Scientific Computing and Data Management (2 papers). José Villaveces is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers) and Scientific Computing and Data Management (2 papers). José Villaveces collaborates with scholars based in Germany, France and United Kingdom. José Villaveces's co-authors include Bianca Habermann, Vivek Bhardwaj, Thomas Manke, Kin Chung Lam, Laura Arrigoni, Asifa Akhtar, Fidel Ramírez, Björn Grüning, Prasanna S. Koti and Henning Hermjakob and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

José Villaveces

9 papers receiving 756 citations

Hit Papers

High-resolution TADs reve... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Villaveces Germany 7 656 213 112 37 36 9 760
Sergio Contrino United Kingdom 11 550 0.8× 179 0.8× 79 0.7× 19 0.5× 35 1.0× 16 698
Julie Sullivan United Kingdom 10 757 1.2× 220 1.0× 151 1.3× 61 1.6× 32 0.9× 17 1.0k
William Spooner United Kingdom 7 625 1.0× 161 0.8× 242 2.2× 32 0.9× 57 1.6× 7 784
Jorge Duarte France 9 700 1.1× 464 2.2× 236 2.1× 37 1.0× 39 1.1× 10 1.2k
Xavier Watkins United Kingdom 4 370 0.6× 60 0.3× 84 0.8× 50 1.4× 23 0.6× 5 497
Isaac Ho United States 5 344 0.5× 93 0.4× 97 0.9× 21 0.6× 29 0.8× 6 500
Kathryn Beal United States 12 763 1.2× 178 0.8× 352 3.1× 35 0.9× 87 2.4× 15 985
Maria Keays United Kingdom 5 457 0.7× 77 0.4× 65 0.6× 36 1.0× 82 2.3× 5 617
Darin London United States 6 1.1k 1.7× 141 0.7× 280 2.5× 62 1.7× 98 2.7× 6 1.3k
M. Hammond United Kingdom 9 548 0.8× 154 0.7× 123 1.1× 43 1.2× 27 0.8× 10 682

Countries citing papers authored by José Villaveces

Since Specialization
Citations

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

Fields of papers citing papers by José Villaveces

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Villaveces

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

All Works

9 of 9 papers shown
1.
Yim, Annie, Prasanna S. Koti, Milena Dürrbaum, et al.. (2019). mitoXplorer, a visual data mining platform to systematically analyze and visualize mitochondrial expression dynamics and mutations. Nucleic Acids Research. 48(2). 605–632. 44 indexed citations
2.
Ramírez, Fidel, Vivek Bhardwaj, Laura Arrigoni, et al.. (2018). High-resolution TADs reveal DNA sequences underlying genome organization in flies. Nature Communications. 9(1). 189–189. 543 indexed citations breakdown →
3.
Restrepo, Guillermo, José Villaveces, & Subhash C. Basak. (2018). Advances in Mathematical Chemistry and Applications: Volume 2. 2 indexed citations
4.
Habermann, Bianca, José Villaveces, & Prasanna S. Koti. (2015). Tools for visualization and analysis of molecular networks, pathways, and -omics data. PubMed. 8. 11–11. 37 indexed citations
5.
Villaveces, José, Rafael C. Jiménez, Pablo Porras, et al.. (2015). Merging and scoring molecular interactions utilising existing community standards: tools, use-cases and a case study. Database. 2015(0). bau131–bau131. 55 indexed citations
6.
Volkmer, Michael, et al.. (2014). morFeus: a web-based program to detect remotely conserved orthologs using symmetrical best hits and orthology network scoring. BMC Bioinformatics. 15(1). 263–263. 8 indexed citations
7.
Dao, David, et al.. (2014). biojs: BioJS2 (alpha). Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
García, Leyla, Gustavo A Salazar, José Villaveces, et al.. (2013). BioJS: an open source JavaScript framework for biological data visualization. Bioinformatics. 29(8). 1103–1104. 60 indexed citations
9.
Villaveces, José, Rafael C. Jiménez, Leyla García, et al.. (2011). Dasty3, a WEB framework for DAS. Bioinformatics. 27(18). 2616–2617. 10 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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