Rafael Valdés‐Mas
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 5%
- Genetics top 5%
- Physiology top 10%
- Genetics top 10%
- Co-authors
- Carlos López-Otı́nXosé S. PuenteEran ElinavNeus VillamorElı́as CampoSı́lvia BeàMally Dori-BachashPedro M. Quirós
- Topics
- Chronic Lymphocytic Leukemia Research (4 papers)Genetic factors in colorectal cancer (4 papers)DNA Repair Mechanisms (3 papers)
- Cited by
- GeneticsAgingBiological Psychiatry
- Journals
- NatureScienceNature Medicine
In The Last Decade
Rafael Valdés‐Mas
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.1k
- Pathology and Forensic Medicine 350
- Genetics 273
- Physiology 241
- Genetics 233
Countries citing papers authored by Rafael Valdés‐Mas
This map shows the geographic impact of Rafael Valdés‐Mas'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 Rafael Valdés‐Mas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Valdés‐Mas more than expected).
Fields of papers citing papers by Rafael Valdés‐Mas
This network shows the impact of papers produced by Rafael Valdés‐Mas. 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 Rafael Valdés‐Mas. The network helps show where Rafael Valdés‐Mas may publish in the future.
Co-authorship network of co-authors of Rafael Valdés‐Mas
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Valdés‐Mas. A scholar is included among the top collaborators of Rafael Valdés‐Mas 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 Rafael Valdés‐Mas. Rafael Valdés‐Mas 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 | 19 | |
| 3 | 39 | |
| 4 | 20 | |
| 5 | 145 | |
| 6 | 5 | |
| 7 | 142 | |
| 8 | Healthspan and lifespan extension by fecal microbiota transplantation into progeroid micebreakdown → | 452 |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 47 | |
| 12 | 6 | |
| 13 | Non-coding recurrent mutations in chronic lymphocytic leukaemiabreakdown → | 377 |
| 14 | 34 | |
| 15 | 175 | |
| 16 | 30 | |
| 17 | 2 | |
| 18 | 126 | |
| 19 | 88 | |
| 20 | 13 |
About Rafael Valdés‐Mas
Rafael Valdés‐Mas is a scholar working on Computational Mathematics, Genetics and Pathology and Forensic Medicine, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Genetic factors in colorectal cancer (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Genetics (273 citations), Aging (43 citations) and Biological Psychiatry (55 citations). Rafael Valdés‐Mas has collaborated with scholars based in Spain, Germany and Israel. Frequent co-authors include Carlos López-Otı́n, Xosé S. Puente, Eran Elinav, Neus Villamor, Elı́as Campo, Sı́lvia Beà, Mally Dori-Bachash, Pedro M. Quirós, Alicja Nogacka and María Teresa Fernández‐García. Their work appears in journals such as Nature, Science and Nature Medicine.
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.