José M. Mato

565 total papers · 27.0k total citations
372 papers, 18.5k citations indexed

About

José M. Mato is a scholar working on Molecular Biology, Rheumatology and Epidemiology. According to data from OpenAlex, José M. Mato has authored 372 papers receiving a total of 18.5k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Molecular Biology, 119 papers in Rheumatology and 86 papers in Epidemiology. Recurrent topics in José M. Mato's work include Folate and B Vitamins Research (116 papers), Liver Disease Diagnosis and Treatment (78 papers) and Metabolism and Genetic Disorders (53 papers). José M. Mato is often cited by papers focused on Folate and B Vitamins Research (116 papers), Liver Disease Diagnosis and Treatment (78 papers) and Metabolism and Genetic Disorders (53 papers). José M. Mato collaborates with scholars based in Spain, United States and Netherlands. José M. Mato's co-authors include Shelly C. Lu, Fernando J. Corrales, Matías A. Ávila, Maria Luz Martínez‐Chantar, Marı́a A. Pajares, Luis Álvarez, P. Ortiz, Heping Yang, Elena R. García–Trevijano and Susana Alemany and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

José M. Mato

367 papers receiving 18.1k citations

Hit Papers

S-adenosylmethionine in L... 2012 2026 2016 2021 2012 2021 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
José M. Mato 10.3k 4.8k 4.3k 2.0k 2.0k 372 18.5k
Shelly C. Lu 10.6k 1.0× 4.8k 1.0× 3.5k 0.8× 2.6k 1.3× 3.0k 1.5× 251 20.3k
Dennis E. Vance 8.5k 0.8× 3.5k 0.7× 1.8k 0.4× 916 0.5× 3.2k 1.6× 238 16.3k
Kurt J. Isselbacher 7.9k 0.8× 2.8k 0.6× 644 0.1× 1.5k 0.7× 1.6k 0.8× 324 20.2k
Emmanuel Farber 7.3k 0.7× 2.1k 0.4× 887 0.2× 3.9k 1.9× 1.7k 0.8× 280 15.4k
Nobuyo Maeda 8.0k 0.8× 2.8k 0.6× 1.6k 0.4× 1.4k 0.7× 1.6k 0.8× 265 22.0k
Norio Hayashi 11.6k 1.1× 7.9k 1.6× 1.6k 0.4× 1.8k 0.9× 447 0.2× 623 26.4k
Jack R. Wands 10.6k 1.0× 10.2k 2.1× 929 0.2× 2.5k 1.2× 722 0.4× 445 28.9k
Umberto Dianzani 5.9k 0.6× 1.9k 0.4× 842 0.2× 1.1k 0.6× 966 0.5× 460 16.6k
Roy L. Silverstein 11.7k 1.1× 3.0k 0.6× 1.0k 0.2× 3.6k 1.8× 744 0.4× 209 23.9k
Hidenori Ichijo 20.3k 2.0× 3.0k 0.6× 864 0.2× 2.8k 1.4× 663 0.3× 286 29.8k

Countries citing papers authored by José M. Mato

Since Specialization
Citations

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

Fields of papers citing papers by José M. Mato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José M. Mato

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026