Bruno Aranda

6.1k citations
4 papers · 197 · h-index 4

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Bioinformatics and Genomic Networks
    • Biomedical Text Mining and Ontologies
    • Metabolomics and Mass Spectrometry Studies
    • Microbial Metabolic Engineering and Bioproduction
    • Gene expression and cancer classification

Papers in

    • Bioinformatics and Genomic Networks 3
    • Biomedical Text Mining and Ontologies 3
    • Microbial Metabolic Engineering and Bioproduction 1
    • Semantic Web and Ontologies 2

Bruno Aranda

4 papers receiving 196 citations

Peers

Bruno Aranda
Comparison fields: 5 of 63
  • Spectroscopy 42
  • Molecular Biology 169
  • Computational Theory and Mathematics 27
  • Structural Biology 1
  • Cell Biology 10
Replace Bernd Roechert with:
Bernd Roechert Switzerland
Phil Scordis United Kingdom
Fotis A. Baltoumas Greece
Maria Livia Famiglietti Switzerland
Marc Vaisset France
Borisas Bursteinas United Kingdom
Michał Krassowski United Kingdom
Annie M. Westerlund Sweden
Andrew Nightingale United Kingdom
Bruno Aranda relative to Bernd Roechert Switzerland Bernd Roechert's profile →
Citations per field
00.5×1.5×1.9×
Bernd Roechert · 1×
Citations per year

Countries citing papers authored by Bruno Aranda

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Aranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Bruno Aranda, 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 Bruno Aranda Line = papers co-authored together Bruno Aranda links everyone, so they are left out of the graph.

All Works

About Bruno Aranda

Bruno Aranda is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Spectroscopy and Infectious Diseases, having authored 4 papers that have together received 197 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Semantic Web and Ontologies (2 papers), Computational Drug Discovery Methods (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Spectroscopy (42 citations), Molecular Biology (169 citations), Computational Theory and Mathematics (27 citations), Structural Biology (1 citation) and Cell Biology (10 citations). Bruno Aranda has collaborated with scholars based in United Kingdom, Italy and Russia. Frequent co-authors include Henning Hermjakob, Sandra Orchard, Gavin Koh, Pablo Porras, Samuel Kerrien, Luisa Montecchi‐Palazzi, Florian Reisinger, Lennart Martens, Andrew R. Jones and Arnaud Céol. Their work appears in journals such as Genome biology, Current Protocols in Protein Science, PROTEOMICS and Journal of Proteome Research.

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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