Eugènia Mato

51 total papers · 1.2k total citations
34 papers, 874 citations indexed

About

Eugènia Mato is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Eugènia Mato has authored 34 papers receiving a total of 874 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 Surgery. 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 Joan Carles Escolà‐Gil, Gustavo Egea, Francisco Blanco‐Vaca, Alberto de Leiva, Lídia Cedó, Susan M. Webb, Srinivasa T. Reddy, Ana L. Luna, Juan M. Durán and José A. Martínez‐Menárguez and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Eugènia Mato

33 papers receiving 861 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eugènia Mato 321 194 172 168 165 34 874
Hideaki Tanaka 343 1.1× 134 0.7× 138 0.8× 52 0.3× 111 0.7× 39 991
Dirk Hadaschik 443 1.4× 176 0.9× 225 1.3× 218 1.3× 123 0.7× 24 1.0k
Masaji Murakami 257 0.8× 71 0.4× 135 0.8× 118 0.7× 163 1.0× 52 873
Sandra Meulemans 470 1.5× 90 0.5× 119 0.7× 110 0.7× 111 0.7× 29 1.0k
A Schneider 313 1.0× 342 1.8× 100 0.6× 73 0.4× 232 1.4× 31 1.0k
Luís Arnes 390 1.2× 167 0.9× 138 0.8× 199 1.2× 295 1.8× 25 789
Laura Iris Cosen-Binker 373 1.2× 56 0.3× 149 0.9× 122 0.7× 304 1.8× 27 948
Guido Gambara 435 1.4× 77 0.4× 204 1.2× 104 0.6× 80 0.5× 29 1.0k
Jean-Louis Danan 559 1.7× 96 0.5× 97 0.6× 169 1.0× 104 0.6× 41 1.0k
Gerard C.M. van der Zon 647 2.0× 115 0.6× 111 0.6× 56 0.3× 162 1.0× 32 970

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).

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.

Co-authorship network of co-authors of Eugènia Mato

This figure shows the co-authorship network connecting the top 25 collaborators of Eugènia Mato. A scholar is included among the top collaborators of Eugènia Mato 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 Eugènia Mato. Eugènia Mato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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