Daniel E. Martin‐Herranz
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 3
- Pluripotent Stem Cells Research 1
- Single-cell and spatial transcriptomics 1
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Wolf Reik (3 shared papers)Thomas M. Stubbs (3 shared papers)Michael J. Scherm (1 shared paper)Maximilian R. Stammnitz (1 shared paper)Edward T. Tipper (1 shared paper)Daniel J. Kunz (1 shared paper)Andre Holzer (1 shared paper)Janet M. Thornton (2 shared papers)
- Journals
- eLife (1 paper)GeroScience (1 paper)Emerging Topics in Life Sciences (1 paper)Aging Cell (1 paper)Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Daniel E. Martin‐Herranz
8 papers receiving 267 citations
Peers
Comparison fields: 5 of 66
- Aging 44
- Molecular Biology 172
- Ecology 42
- Physiology 28
- Genetics 31
Countries citing papers authored by Daniel E. Martin‐Herranz
This map shows the geographic impact of Daniel E. Martin‐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 E. Martin‐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 E. Martin‐Herranz more than expected).
Fields of papers citing papers by Daniel E. Martin‐Herranz
This network shows the impact of papers produced by Daniel E. Martin‐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 E. Martin‐Herranz. The network helps show where Daniel E. Martin‐Herranz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Martin‐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 | 2021 | 80 | |
| 2 | 2022 | 80 | |
| 3 | 2019 | 57 | |
| 4 | 2024 | 20 | |
| 5 | 2013 | 16 | |
| 6 | 2017 | 10 | |
| 7 | 2025 | 3 | |
| 8 | 2025 | 3 |
About Daniel E. Martin‐Herranz
Daniel E. Martin‐Herranz is a scholar working on Molecular Biology, Aging, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Ecology, having authored 8 papers that have together received 269 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Circadian rhythm and melatonin (1 paper), Cancer Genomics and Diagnostics (1 paper), Pluripotent Stem Cells Research (1 paper), Microbial Community Ecology and Physiology (1 paper), Single-cell and spatial transcriptomics (1 paper) and GABA and Rice Research (1 paper). The work is most often cited by research in Aging (44 citations), Molecular Biology (172 citations), Ecology (42 citations), Physiology (28 citations) and Genetics (31 citations). Daniel E. Martin‐Herranz has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Wolf Reik, Thomas M. Stubbs, Michael J. Scherm, Maximilian R. Stammnitz, Edward T. Tipper, Daniel J. Kunz, Andre Holzer, Janet M. Thornton, Lara Urban and Philipp Braeuninger‐Weimer. Their work appears in journals such as eLife, GeroScience, Emerging Topics in Life Sciences, Aging Cell and Genetics.
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.