Daniel Glez‐Peña

2.5k total citations
75 papers, 1.5k citations indexed

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 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 18 papers in Artificial Intelligence and 14 papers in Spectroscopy. Recurrent topics in Daniel Glez‐Peña's work include Bioinformatics and Genomic Networks (12 papers), Genomics and Phylogenetic Studies (11 papers) and Advanced Proteomics Techniques and Applications (11 papers). Daniel Glez‐Peña is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Genomics and Phylogenetic Studies (11 papers) and Advanced Proteomics Techniques and Applications (11 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, Hugo López-Fernández, David Posada, David G. Pisano, Gonzalo Goméz-López, Anália Lourenço, José Luís Capelo, Fernando Díaz and Hugo M. Santos and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Daniel Glez‐Peña

73 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Glez‐Peña Spain	19	576	241	163	163	126	75	1.5k
Miguel Reboiro‐Jato Spain	18	511 0.9×	179 0.7×	151 0.9×	216 1.3×	128 1.0×	72	1.4k
Tim Hulsen Netherlands	12	954 1.7×	185 0.8×	118 0.7×	146 0.9×	146 1.2×	28	1.9k
Dongxiao Zhu United States	22	1.2k 2.1×	353 1.5×	126 0.8×	183 1.1×	107 0.8×	101	2.1k
Sophia Tsoka United Kingdom	25	1.3k 2.2×	180 0.7×	171 1.0×	67 0.4×	100 0.8×	86	2.4k
Florentino Fdez‐Riverola Spain	26	940 1.6×	730 3.0×	127 0.8×	252 1.5×	167 1.3×	185	2.9k
Xiaowen Liang United States	30	1.2k 2.1×	117 0.5×	81 0.5×	55 0.3×	143 1.1×	72	2.6k
Guilherme P. Telles Brazil	14	997 1.7×	136 0.6×	96 0.6×	397 2.4×	159 1.3×	36	2.3k
Roland F. Schwarz Germany	17	977 1.7×	185 0.8×	240 1.5×	99 0.6×	284 2.3×	44	2.0k
Xi Zhou China	32	1.9k 3.2×	100 0.4×	114 0.7×	322 2.0×	135 1.1×	147	3.7k
Steffen Möller Germany	21	1.6k 2.7×	59 0.2×	131 0.8×	221 1.4×	291 2.3×	79	2.6k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Glez‐Peña. A scholar is included among the top collaborators of Daniel Glez‐Peña based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Glez‐Peña. Daniel Glez‐Peña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Vieira, Jorge, et al.. (2025). Predicting Which Mitophagy Proteins Are Dysregulated in Spinocerebellar Ataxia Type 3 (SCA3) Using the Auto-p2docking Pipeline. International Journal of Molecular Sciences. 26(3). 1325–1325.

Piñeiro-Yáñez, Elena, Hugo López-Fernández, Santiago García‐Martín, et al.. (2023). PanDrugs2: prioritizing cancer therapies using integrated individual multi-omics data. Nucleic Acids Research. 51(W1). W411–W418. 5 indexed citations

Glez‐Peña, Daniel, Carla Miranda, Patrícia Poeta, et al.. (2021). Are There Benefits from Thermal Bacteria for Health? The Hydrogenome Role. Water. 13(11). 1439–1439. 1 indexed citations

Troulé, Kevin, Hugo López-Fernández, Santiago García‐Martín, et al.. (2020). DREIMT: a drug repositioning database and prioritization tool for immunomodulation. Bioinformatics. 37(4). 578–579. 12 indexed citations

Piñeiro-Yáñez, Elena, Miguel Reboiro‐Jato, Gonzalo Goméz-López, et al.. (2018). PanDrugs: a novel method to prioritize anticancer drug treatments according to individual genomic data. Genome Medicine. 10(1). 41–41. 60 indexed citations

López-Fernández, Hugo, J.E. Araújo, Daniel Glez‐Peña, et al.. (2017). S2P: A software tool to quickly carry out reproducible biomedical research projects involving 2D-gel and MALDI-TOF MS protein data. Computer Methods and Programs in Biomedicine. 155. 1–9. 3 indexed citations

López-Fernández, Hugo, Gustavo de Souza Pessôa, Marco Aurélio Zezzi Arruda, et al.. (2016). LA-iMageS: a software for elemental distribution bioimaging using LA–ICP–MS data. Journal of Cheminformatics. 8(1). 65–65. 34 indexed citations

Pérez‐Rodríguez, Gael, Martín Pérez‐Pérez, Daniel Glez‐Peña, et al.. (2015). Agent-Based Spatiotemporal Simulation of Biomolecular Systems within the Open Source MASON Framework. BioMed Research International. 2015. 1–12. 1 indexed citations

López-Fernández, Hugo, Miguel Reboiro‐Jato, Daniel Glez‐Peña, & Florentino Fdez‐Riverola. (2014). A comprehensive analysis about the influence of low-level preprocessing techniques on mass spectrometry data for sample classification. International Journal of Data Mining and Bioinformatics. 10(4). 455–455. 3 indexed citations

10.

Pérez‐Pérez, Martín, Daniel Glez‐Peña, Florentino Fdez‐Riverola, & Anália Lourenço. (2014). Marky: A tool supporting annotation consistency in multi-user and iterative document annotation projects. Computer Methods and Programs in Biomedicine. 118(2). 242–251. 17 indexed citations

11.

López-Fernández, Hugo, Miguel Reboiro‐Jato, Daniel Glez‐Peña, et al.. (2013). BioAnnote: A software platform for annotating biomedical documents with application in medical learning environments. Computer Methods and Programs in Biomedicine. 111(1). 139–147. 21 indexed citations

12.

López, Manuel Jesús Maña, Jacinto Mata Vázquez, Fernando Aparicio, et al.. (2011). Medical-miner at TREC 2011 medical records track. ABACUS. Repositorio de Producción Científica (Universidad Europea). 3 indexed citations

13.

Rodríguez, Manuel de Buenaga, Enrique Puertas, Florentino Fdez‐Riverola, et al.. (2010). Medical-Miner : integración de conocimiento textual explícito en técnicas de minería de datos para la creación de herramientas traslacionales en medicina. Procesamiento del lenguaje natural. 45(45). 319–320. 3 indexed citations

14.

Santos, Hugo M., et al.. (2010). Decision peptide-driven: A free software tool for accurate protein quantification using gel electrophoresis and matrix assisted laser desorption ionization time of flight mass spectrometry. Talanta. 82(4). 1412–1420. 10 indexed citations

15.

Glez‐Peña, Daniel, et al.. (2009). DFP: a Bioconductor package for fuzzy profile identification and gene reduction of microarray data. BMC Bioinformatics. 10(1). 37–37. 11 indexed citations

16.

Glez‐Peña, Daniel, Gonzalo Goméz-López, David G. Pisano, & Florentino Fdez‐Riverola. (2009). WhichGenes: a web-based tool for gathering, building, storing and exporting gene sets with application in gene set enrichment analysis. Nucleic Acids Research. 37(Web Server). W329–W334. 26 indexed citations

17.

Glez‐Peña, Daniel, Fernando Díaz, Jesús María Hernández‐Rivas, Juan M. Corchado, & Florentino Fdez‐Riverola. (2009). geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research. BMC Bioinformatics. 10(1). 187–187. 18 indexed citations

18.

Lourenço, Anália, Sónia Carneiro, Paulo Maia, et al.. (2009). @Note: A workbench for Biomedical Text Mining. Journal of Biomedical Informatics. 42(4). 710–720. 24 indexed citations

19.

Glez‐Peña, Daniel, et al.. (2008). Water Flows Modelling and Forecasting using a RBF Neural Network. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 6(12). 13–13. 5 indexed citations

20.

Méndez, José R., Florentino Fdez‐Riverola, Daniel Glez‐Peña, Fernando Díaz, & Juan M. Corchado. (2007). Relaxing feature selection in spam filtering by using case-based reasoning systems. 53–62. 2 indexed citations

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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