M.Á. Prieto Díaz
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism
- Surgery
- General Health Professions
- Public Health, Environmental and Occupational Health
- Co-authors
- J.L. LlisterriG.C. Rodríguez RocaAlfonso Barquilla-GarcíaJosé Polo GarcíaHans DegensSergio Cinza‐SanjurjoMay AzzawiJ.A. Divisón
- Topics
- Blood Pressure and Hypertension Studies (18 papers)Cardiac Health and Mental Health (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)
- Cited by
- Geriatrics and GerontologyCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
M.Á. Prieto Díaz
25 papers receiving 269 citations
Peers
Comparison fields: 5 of 65
- Cardiology and Cardiovascular Medicine 169
- Endocrinology, Diabetes and Metabolism 57
- Surgery 56
- General Health Professions 35
- Public Health, Environmental and Occupational Health 35
Countries citing papers authored by M.Á. Prieto Díaz
This map shows the geographic impact of M.Á. Prieto Díaz'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 M.Á. Prieto Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.Á. Prieto Díaz more than expected).
Fields of papers citing papers by M.Á. Prieto Díaz
This network shows the impact of papers produced by M.Á. Prieto Díaz. 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 M.Á. Prieto Díaz. The network helps show where M.Á. Prieto Díaz may publish in the future.
Co-authorship network of co-authors of M.Á. Prieto Díaz
This figure shows the co-authorship network connecting the top 25 collaborators of M.Á. Prieto Díaz. A scholar is included among the top collaborators of M.Á. Prieto Díaz 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 M.Á. Prieto Díaz. M.Á. Prieto Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 0 | |
| 8 | 26 | |
| 9 | 24 | |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 38 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 31 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 2 |
About M.Á. Prieto Díaz
M.Á. Prieto Díaz is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Geriatrics and Gerontology, having authored 30 papers that have together received 276 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (18 papers), Cardiac Health and Mental Health (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Geriatrics and Gerontology (29 citations), Cardiology and Cardiovascular Medicine (169 citations) and Endocrinology, Diabetes and Metabolism (57 citations). M.Á. Prieto Díaz has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include J.L. Llisterri, G.C. Rodríguez Roca, Alfonso Barquilla-García, José Polo García, Hans Degens, Sergio Cinza‐Sanjurjo, May Azzawi, J.A. Divisón, Vivencio Barrios and Clare Austin. Their work appears in journals such as Journal of Hypertension, Experimental Gerontology and Nitric Oxide.
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.