Daniel Herranz
Impact in
- Geriatrics and Gerontology top 0.1%
- Sirtuins and Resveratrol in Medicine
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Sirtuins and Resveratrol in Medicine 13
- Aging 2
- Co-authors
- Manuel SerranoSusana Velasco-MiguelMatthias H. TschöpPaul T. PflugerMaribel Muñoz‐MartínMarta CañameroFrancisca MuleroBárbara Martínez-Pastor
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cancer Research (3 papers)Blood (2 papers)Nature Medicine (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Daniel Herranz
34 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Geriatrics and Gerontology 1.3k
- Aging 208
- Physiology 1.3k
- Physiology 187
- Endocrine and Autonomic Systems 206
Countries citing papers authored by Daniel Herranz
This map shows the geographic impact of Daniel Herranz'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 Daniel Herranz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Herranz more than expected).
Fields of papers citing papers by Daniel Herranz
This network shows the impact of papers produced by Daniel Herranz. 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 Daniel Herranz. The network helps show where Daniel Herranz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Herranz, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | Acute lymphoblastic leukaemia Hit paper breakdown → | 2024 | 52 |
| 5 | 2024 | 0 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 93 | |
| 10 | 2018 | 90 | |
| 11 | Synergistic antileukemic therapies in NOTCH1-induced T-ALL | 2017 | 1 |
| 12 | 2014 | 303 | |
| 13 | 2013 | 61 | |
| 14 | 2012 | 89 | |
| 15 | 2012 | 63 | |
| 16 | 2011 | 41 | |
| 17 | 2010 | 49 | |
| 18 | 2010 | 493 | |
| 19 | 2007 | 105 | |
| 20 | 2006 | 97 |
About Daniel Herranz
Daniel Herranz is a scholar working on Geriatrics and Gerontology, Aging, Physiology, Biotechnology and Molecular Biology, having authored 36 papers that have together received 3.9k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (13 papers), RNA modifications and cancer (8 papers), Adipose Tissue and Metabolism (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer Research and Treatments (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (1.3k citations), Aging (208 citations), Physiology (1.3k citations), Physiology (187 citations) and Endocrine and Autonomic Systems (206 citations). Daniel Herranz has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Manuel Serrano, Susana Velasco-Miguel, Matthias H. Tschöp, Paul T. Pfluger, Maribel Muñoz‐Martín, Marta Cañamero, Francisca Mulero, Bárbara Martínez-Pastor, Óscar Fernández-Capetillo and Adolfo A. Ferrando. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Blood, Nature Medicine and Nature Communications.
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.