Cristina Rubio-Escudero

37 papers and 524 indexed citations i.

About

Cristina Rubio-Escudero is a scholar working on Molecular Biology, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Cristina Rubio-Escudero has authored 37 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Cristina Rubio-Escudero’s work include Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (11 papers) and Gene Regulatory Network Analysis (9 papers). Cristina Rubio-Escudero is often cited by papers focused on Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (11 papers) and Gene Regulatory Network Analysis (9 papers). Cristina Rubio-Escudero collaborates with scholars based in Spain, United States and Cuba. Cristina Rubio-Escudero's co-authors include Francisco Martínez‐Álvarez, David Gutiérrez‐Avilés, Antonio Morales‐Esteban, Alicia Troncoso, J. Reyes, José C. Riquelme, José Luis de Justo Alpañés, Igor Zwir, Rocío Romero‐Zaliz and Natividad Jurado-Campos and has published in prestigious journals such as Bioinformatics, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Cristina Rubio-Escudero i

Fields of papers citing papers by Cristina Rubio-Escudero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristina Rubio-Escudero. 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 Cristina Rubio-Escudero. The network helps show where Cristina Rubio-Escudero may publish in the future.

Countries citing papers authored by Cristina Rubio-Escudero

Since Specialization
Citations

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