Mario de la Mata

35 papers and 1.7k indexed citations i.

About

Mario de la Mata is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Mario de la Mata has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Epidemiology and 7 papers in Physiology. Recurrent topics in Mario de la Mata’s work include Mitochondrial Function and Pathology (10 papers), Cell death mechanisms and regulation (7 papers) and Coenzyme Q10 studies and effects (7 papers). Mario de la Mata is often cited by papers focused on Mitochondrial Function and Pathology (10 papers), Cell death mechanisms and regulation (7 papers) and Coenzyme Q10 studies and effects (7 papers). Mario de la Mata collaborates with scholars based in Spain, Italy and Portugal. Mario de la Mata's co-authors include José A. Sánchez‐Alcázar, David Cotán, Manuel Oropesa-Ávila, Marina Villanueva‐Paz, Juan Garrido‐Maraver, Mario D. Cordero, Isabel de Lavera, Mónica Álvarez-Córdoba, Juan M. Suárez-Rivero and Elísabet Alcocer‐Gómez and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Mario de la Mata i

Fields of papers citing papers by Mario de la Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario de la Mata. 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 Mario de la Mata. The network helps show where Mario de la Mata may publish in the future.

Countries citing papers authored by Mario de la Mata

Since Specialization
Citations

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