Pablo Prieto‐Matos
- Surgery
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism
- Public Health, Environmental and Occupational Health
- Co-authors
- Marina Vives‐MestresElizabeth K. SengÁngela del PozoAmaka C OffiahKaren E. HeathLucia SentchordiFrancisco FuentesXavier Pintó
- Topics
- Diabetes and associated disorders (3 papers)Genetic Syndromes and Imprinting (2 papers)Acute Myeloid Leukemia Research (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesAtherosclerosis
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Pablo Prieto‐Matos
22 papers receiving 193 citations
Peers
Comparison fields: 5 of 51
- Surgery 61
- Molecular Biology 57
- Genetics 50
- Endocrinology, Diabetes and Metabolism 37
- Public Health, Environmental and Occupational Health 23
Countries citing papers authored by Pablo Prieto‐Matos
This map shows the geographic impact of Pablo Prieto‐Matos'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 Pablo Prieto‐Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Prieto‐Matos more than expected).
Fields of papers citing papers by Pablo Prieto‐Matos
This network shows the impact of papers produced by Pablo Prieto‐Matos. 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 Pablo Prieto‐Matos. The network helps show where Pablo Prieto‐Matos may publish in the future.
Co-authorship network of co-authors of Pablo Prieto‐Matos
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Prieto‐Matos. A scholar is included among the top collaborators of Pablo Prieto‐Matos 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 Pablo Prieto‐Matos. Pablo Prieto‐Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 28 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 15 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | 12 |
About Pablo Prieto‐Matos
Pablo Prieto‐Matos is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pediatrics, Perinatology and Child Health, having authored 24 papers that have together received 197 indexed citations. Recurring topics across this work include Diabetes and associated disorders (3 papers), Genetic Syndromes and Imprinting (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (37 citations), Genetics (50 citations) and Applied Psychology (8 citations). Pablo Prieto‐Matos has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Marina Vives‐Mestres, Elizabeth K. Seng, Ángela del Pozo, Amaka C Offiah, Karen E. Heath, Lucia Sentchordi, Francisco Fuentes, Xavier Pintó, Rosa Argüeso and Leopoldo Pérez de Isla. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Atherosclerosis.
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.