José M. Mato
- Molecular Biology top 0.2%
- Epidemiology top 0.2%
- Rheumatology top 0.05%
- Cancer Research top 0.5%
- Biochemistry top 0.05%
- Co-authors
- Shelly C. LuFernando J. CorralesMatías A. ÁvilaMaria Luz Martínez‐ChantarMarı́a A. PajaresLuis ÁlvarezP. OrtizHeping Yang
- Topics
- Folate and B Vitamins Research (115 papers)Liver Disease Diagnosis and Treatment (78 papers)Metabolism and Genetic Disorders (52 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
José M. Mato
367 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 10.3k
- Epidemiology 4.8k
- Rheumatology 4.3k
- Cancer Research 2.0k
- Biochemistry 2.0k
Countries citing papers authored by José M. Mato
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic testsbreakdown → | 281 |
| 8 | 22 | |
| 9 | 14 | |
| 10 | 24 | |
| 11 | 151 | |
| 12 | 11 | |
| 13 | 53 | |
| 14 | 37 | |
| 15 | 43 | |
| 16 | 59 | |
| 17 | 148 | |
| 18 | Dolly y sus amigos: sobre "The Second Creation. The age of biological control by the scientists who cloned Dolly", de Ian Wilmut, Keith Campbell y Colin Tudge | 3 |
| 19 | La investigación en el próximo milenio: sobre "What Remains to be Discovered: Mapping the Secrets of the Universe, the Origin of life, and the Future of the Human Race", de John Maddox | 1 |
| 20 | 15 |
About José M. Mato
José M. Mato is a scholar working on Rheumatology, Clinical Biochemistry and Biochemistry, having authored 371 papers that have together received 18.6k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (115 papers), Liver Disease Diagnosis and Treatment (78 papers) and Metabolism and Genetic Disorders (52 papers). The work is most often cited by research in Rheumatology (4.3k citations), Biochemistry (2.0k citations) and Clinical Biochemistry (1.6k citations). José M. Mato has collaborated with scholars based in Spain, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.