Daniel Glez‐Peña

68 papers and 1.4k indexed citations i.

About

Daniel Glez‐Peña is a scholar working on Molecular Biology, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Daniel Glez‐Peña has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 15 papers in Artificial Intelligence and 13 papers in Spectroscopy. Recurrent topics in Daniel Glez‐Peña’s work include Bioinformatics and Genomic Networks (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Genomics and Phylogenetic Studies (10 papers). Daniel Glez‐Peña is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Genomics and Phylogenetic Studies (10 papers). Daniel Glez‐Peña collaborates with scholars based in Spain, Portugal and United States. Daniel Glez‐Peña's co-authors include Florentino Fdez‐Riverola, Miguel Reboiro‐Jato, David Posada, Hugo López-Fernández, David G. Pisano, Gonzalo Goméz-López, José Luís Capelo, Anália Lourenço, Hugo M. Santos and Fernando Díaz and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Daniel Glez‐Peña i

Fields of papers citing papers by Daniel Glez‐Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Glez‐Peña

Since Specialization
Citations

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).

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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