Eugènia Mato

33 papers and 824 indexed citations i.

About

Eugènia Mato is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Eugènia Mato has authored 33 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Epidemiology. Recurrent topics in Eugènia Mato’s work include Neuroendocrine Tumor Research Advances (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Cellular transport and secretion (5 papers). Eugènia Mato is often cited by papers focused on Neuroendocrine Tumor Research Advances (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers) and Cellular transport and secretion (5 papers). Eugènia Mato collaborates with scholars based in Spain, United States and Brazil. Eugènia Mato's co-authors include Gustavo Egea, Joan Carles Escolá‐Gil, Alberto de Leiva, Francisco Blanco‐Vaca, Lídia Cedó, Susan M. Webb, Srinivasa T. Reddy, Ana L. Luna, Juan M. Durán and J. Ballesta and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Eugènia Mato i

Fields of papers citing papers by Eugènia Mato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugènia Mato. 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 Eugènia Mato. The network helps show where Eugènia Mato may publish in the future.

Countries citing papers authored by Eugènia Mato

Since Specialization
Citations

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