David Roiz‐Valle
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
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- RNA modifications and cancer 2
- Circular RNAs in diseases 2
- RNA Research and Splicing 2
- Histone Deacetylase Inhibitors Research 1
- Co-authors
- Carlos López-Otı́n (10 shared papers)Federico Pietrocola (1 shared paper)Lorenzo Galluzzi (1 shared paper)Guido Kroemer (2 shared papers)Xurde M. Caravia (6 shared papers)Alejandro Pineiro Ugalde (4 shared papers)José M.P. Freije (4 shared papers)Vı́ctor Quesada (3 shared papers)
- Journals
- Mechanisms of Ageing and Development (2 papers)Nature Ecology & Evolution (1 paper)PLoS Biology (1 paper)Molecular Metabolism (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
David Roiz‐Valle
12 papers receiving 619 citations
David Roiz‐Valle's Hit Papers
Peers
Comparison fields: 5 of 91
- Aging 72
- Cancer Research 99
- Neuropsychology and Physiological Psychology 9
- Physiology 146
- Geriatrics and Gerontology 16
Countries citing papers authored by David Roiz‐Valle
This map shows the geographic impact of David Roiz‐Valle'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 David Roiz‐Valle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Roiz‐Valle more than expected).
Fields of papers citing papers by David Roiz‐Valle
This network shows the impact of papers produced by David Roiz‐Valle. 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 David Roiz‐Valle. The network helps show where David Roiz‐Valle may publish in the future.
Co-authors
The 25 scholars most cited alongside David Roiz‐Valle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Meta-hallmarks of aging and cancer Hit paper breakdown → | 2023 | 363 |
| 2 | 2018 | 89 | |
| 3 | 2018 | 62 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 23 | |
| 6 | 2024 | 18 | |
| 7 | 2017 | 13 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2025 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2026 | 0 |
About David Roiz‐Valle
David Roiz‐Valle is a scholar working on Cancer Research, Molecular Biology, Developmental Neuroscience, Physiology and Paleontology, having authored 13 papers that have together received 631 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Autophagy in Disease and Therapy (2 papers), RNA modifications and cancer (2 papers), Circular RNAs in diseases (2 papers), RNA Research and Splicing (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Aging (72 citations), Cancer Research (99 citations), Neuropsychology and Physiological Psychology (9 citations), Physiology (146 citations) and Geriatrics and Gerontology (16 citations). David Roiz‐Valle has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Carlos López-Otı́n, Federico Pietrocola, Lorenzo Galluzzi, Guido Kroemer, Xurde M. Caravia, Alejandro Pineiro Ugalde, José M.P. Freije, Vı́ctor Quesada, Guillermo Mariño and Roberto Cabo. Their work appears in journals such as Mechanisms of Ageing and Development, Nature Ecology & Evolution, PLoS Biology, Molecular Metabolism and Cell Death and Disease.
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.