Ignacio Eguinoa

1.6k citations
8 papers · 50 · h-index 4

Impact in

Papers in

    • Biomedical Text Mining and Ontologies 2
    • Genomics and Chromatin Dynamics 1
    • Metabolomics and Mass Spectrometry Studies 1
    • Research Data Management Practices 3

Ignacio Eguinoa

8 papers receiving 49 citations

Peers

Ignacio Eguinoa
Comparison fields: 5 of 35
  • Information Systems and Management 8
  • Health Informatics 1
  • Infectious Diseases 9
  • Biophysics 3
  • Molecular Biology 30
Replace Giacomo Vitali with:
Giacomo Vitali Italy
David Yu Yuan United Kingdom
Mo Houtti United States
Marco Alvarado Cano United States
Kalpana Panneerselvam United Kingdom
Wenbo Wang China
Sangsoon Woo United States
P. Chand India
Fernando Meyer Germany
Mike Travers United States
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Citations per field
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Citations per year

Countries citing papers authored by Ignacio Eguinoa

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Eguinoa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ignacio Eguinoa, 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 Ignacio Eguinoa Line = papers co-authored together Ignacio Eguinoa links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202017
2 202112
3 202010
4 20225
5 20222
6 20202
7 20231
8 20221

About Ignacio Eguinoa

Ignacio Eguinoa is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Infectious Diseases and Computer Networks and Communications, having authored 8 papers that have together received 50 indexed citations. Recurring topics across this work include Research Data Management Practices (3 papers), Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (2 papers), Genomics and Chromatin Dynamics (1 paper), SARS-CoV-2 detection and testing (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Information Systems and Management (8 citations), Health Informatics (1 citation), Infectious Diseases (9 citations), Biophysics (3 citations) and Molecular Biology (30 citations). Ignacio Eguinoa has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Frederik Coppens, Björn Grüning, Anton Nekrutenko, Klaus D. Grasser, Lloyd M. Smith, Wolfgang Maier, James E. Johnson, Michael R. Shortreed, Andreas Houben and Andrea Bräutigam. Their work appears in journals such as Data Intelligence, New Phytologist, PLoS Pathogens, Proteomes and Research Ideas and Outcomes.

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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