Francisco Prado-Prado

52 papers and 1.5k indexed citations i.

About

Francisco Prado-Prado is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Francisco Prado-Prado has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Theory and Mathematics, 36 papers in Molecular Biology and 11 papers in Pharmacology. Recurrent topics in Francisco Prado-Prado’s work include Computational Drug Discovery Methods (42 papers), Machine Learning in Bioinformatics (16 papers) and Protein Structure and Dynamics (12 papers). Francisco Prado-Prado is often cited by papers focused on Computational Drug Discovery Methods (42 papers), Machine Learning in Bioinformatics (16 papers) and Protein Structure and Dynamics (12 papers). Francisco Prado-Prado collaborates with scholars based in Spain, Mexico and Cuba. Francisco Prado-Prado's co-authors include Humberto González‐Díaz, Florencio M. Ubeira, Xerardo Garcı́a-Mera, Eugenio Uriarte, Lázaro G. Pérez‐Montoto, Octavio Martínez, Kuo‐Chen Chou, Fernanda Borges, Cristian R. Munteanu and Alejandro Pazos and has published in prestigious journals such as Polymer, International Journal of Molecular Sciences and Analytica Chimica Acta.

In The Last Decade

Co-authorship network of co-authors of Francisco Prado-Prado i

Fields of papers citing papers by Francisco Prado-Prado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco Prado-Prado. 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 Francisco Prado-Prado. The network helps show where Francisco Prado-Prado may publish in the future.

Countries citing papers authored by Francisco Prado-Prado

Since Specialization
Citations

This map shows the geographic impact of Francisco Prado-Prado'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 Francisco Prado-Prado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Prado-Prado 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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