Daniel Glez‐Peña
Impact in
- Health Informatics top 5%
-
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
Papers in
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- Bioinformatics and Genomic Networks 12
- Genomics and Phylogenetic Studies 11
- Biomedical Text Mining and Ontologies 10
- Gene expression and cancer classification 10
- Metabolomics and Mass Spectrometry Studies 7
- Co-authors
- Florentino Fdez‐Riverola (62 shared papers)Miguel Reboiro‐Jato (42 shared papers)Hugo López-Fernández (32 shared papers)David Posada (1 shared paper)David G. Pisano (9 shared papers)Gonzalo Goméz-López (11 shared papers)Anália Lourenço (7 shared papers)José Luís Capelo (10 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (6 papers)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (4 papers)Nucleic Acids Research (4 papers)BMC Bioinformatics (4 papers)Expert Systems with Applications (4 papers)
- Partner nations
- SpainPortugalUnited States
In The Last Decade
Daniel Glez‐Peña
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 177
- Health Informatics 25
- Molecular Biology 576
- Health Information Management 35
- Artificial Intelligence 241
- Parasitology 48
Countries citing papers authored by Daniel Glez‐Peña
This map shows the geographic impact of Daniel Glez‐Peña'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 Daniel Glez‐Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Glez‐Peña more than expected).
Fields of papers citing papers by Daniel Glez‐Peña
This network shows the impact of papers produced by Daniel Glez‐Peña. 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 Daniel Glez‐Peña. The network helps show where Daniel Glez‐Peña may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Glez‐Peña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 407 | |
| 2 | 2013 | 102 | |
| 3 | 2015 | 85 | |
| 4 | 2015 | 77 | |
| 5 | 2020 | 72 | |
| 6 | 2018 | 60 | |
| 7 | 2021 | 54 | |
| 8 | 2016 | 43 | |
| 9 | 2016 | 34 | |
| 10 | 2017 | 33 | |
| 11 | 2012 | 31 | |
| 12 | 2010 | 28 | |
| 13 | 2020 | 27 | |
| 14 | 2009 | 26 | |
| 15 | 2009 | 24 | |
| 16 | 2017 | 23 | |
| 17 | 2013 | 21 | |
| 18 | 2016 | 21 | |
| 19 | 2012 | 20 | |
| 20 | 2009 | 18 |
About Daniel Glez‐Peña
Daniel Glez‐Peña is a scholar working on Molecular Biology, Artificial Intelligence, Spectroscopy, Information Systems and Management and Information Systems, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Genomics and Phylogenetic Studies (11 papers), Advanced Proteomics Techniques and Applications (11 papers), Biomedical Text Mining and Ontologies (10 papers), Mass Spectrometry Techniques and Applications (10 papers), Gene expression and cancer classification (10 papers), Scientific Computing and Data Management (9 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Health Informatics (25 citations), Molecular Biology (576 citations), Health Information Management (35 citations), Artificial Intelligence (241 citations) and Parasitology (48 citations). Daniel Glez‐Peña has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include Florentino Fdez‐Riverola, Miguel Reboiro‐Jato, Hugo López-Fernández, David Posada, David G. Pisano, Gonzalo Goméz-López, Anália Lourenço, José Luís Capelo, Fernando Díaz and Hugo M. Santos. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Nucleic Acids Research, BMC Bioinformatics and Expert Systems with Applications.
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.