Ramón Aragüés

509 citations
13 papers · 385 · h-index 11

Impact in

    • Computational Drug Discovery Methods
    • Bioinformatics and Genomic Networks
    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • Microbial Metabolic Engineering and Bioproduction
    • Gene expression and cancer classification
    • Genomics and Phylogenetic Studies

Papers in

    • Bioinformatics and Genomic Networks 7
    • Machine Learning in Bioinformatics 4
    • Protein Structure and Dynamics 3
    • Biomedical Text Mining and Ontologies 2
    • Ion channel regulation and function 1
    • FOXO transcription factor regulation 1
    • Glutathione Transferases and Polymorphisms 1

Ramón Aragüés

13 papers receiving 373 citations

Peers

Ramón Aragüés
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 90
  • Molecular Biology 322
  • Cancer Research 32
  • Cell Biology 29
  • Spectroscopy 28
Replace Saliha Ece Acuner with:
Saliha Ece Acuner Türkiye
Mary K. Joseph United States
Cihan Kaya United States
H. Eirik Haarberg United States
Phani Garapati United Kingdom
Betina Kerstin Lundholt Denmark
Andreas Bernthaler Austria
Henrik Moebitz Switzerland
Mark Sevecka United States
Christian Löbke Germany
Ramón Aragüés relative to Saliha Ece Acuner Türkiye Saliha Ece Acuner's profile →
Citations per field
00.5×1.5×
Saliha Ece Acuner · 1×
Citations per year

Countries citing papers authored by Ramón Aragüés

Since Specialization
Citations

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

Fields of papers citing papers by Ramón Aragüés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ramón Aragüés, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramón Aragüés Line = papers co-authored together Ramón Aragüés links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201062
2 200860
3 200651
4 200740
5 201136
6 200528
7 200526
8 200820
9 200819
10 200715
11 200912
12 20088
13 20068

About Ramón Aragüés

Ramón Aragüés is a scholar working on Molecular Biology, Oncology, Spectroscopy, Cancer Research and Genetics, having authored 13 papers that have together received 385 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Biomedical Text Mining and Ontologies (2 papers), Ion channel regulation and function (1 paper), FOXO transcription factor regulation (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (90 citations), Molecular Biology (322 citations), Cancer Research (32 citations), Cell Biology (29 citations) and Spectroscopy (28 citations). Ramón Aragüés has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Baldo Oliva, Chris Sander, Àngels Sierra, Berta Martín, Javier Garcı́a-Garcı́a, Marc A. Martı́-Renom, Andrej Săli, Joan Planas-Iglesias, Rebeca Sanz‐Pamplona and Emre Güney. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, American Journal Of Pathology, BMC Bioinformatics and PLoS Computational Biology.

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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