Daniel Wuttke
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Epigenetics and DNA Methylation 2
- Bioinformatics and Genomic Networks 2
- Biomedical Text Mining and Ontologies 1
- FOXO transcription factor regulation 1
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- João Pedro de Magalhães (6 shared papers)Thomas Craig (3 shared papers)Robi Tăcutu (2 shared papers)Stuart Calimport (1 shared paper)Adiv A. Johnson (1 shared paper)Alexandra Stolzing (2 shared papers)Joana Cósta (1 shared paper)Arie Budovsky (1 shared paper)
- Journals
- Rejuvenation Research (3 papers)Nucleic Acids Research (2 papers)Pharmacological Reviews (1 paper)PLoS Genetics (1 paper)Molecular BioSystems (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel Wuttke
8 papers receiving 941 citations
Peers
Comparison fields: 5 of 114
- Aging 329
- Endocrine and Autonomic Systems 67
- Geriatrics and Gerontology 30
- Physiology 180
- Molecular Biology 467
Countries citing papers authored by Daniel Wuttke
This map shows the geographic impact of Daniel Wuttke'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 Wuttke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wuttke more than expected).
Fields of papers citing papers by Daniel Wuttke
This network shows the impact of papers produced by Daniel Wuttke. 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 Wuttke. The network helps show where Daniel Wuttke may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wuttke, 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 | 2012 | 403 | |
| 2 | 2012 | 286 | |
| 3 | 2011 | 95 | |
| 4 | 2014 | 65 | |
| 5 | 2012 | 62 | |
| 6 | 2012 | 41 | |
| 7 | 2013 | 2 | |
| 8 | 2012 | 2 |
About Daniel Wuttke
Daniel Wuttke is a scholar working on Molecular Biology, Aging, Genetics, Endocrine and Autonomic Systems and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 956 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Nutrition, Genetics, and Disease (3 papers), Circadian rhythm and melatonin (2 papers), Epigenetics and DNA Methylation (2 papers), Bioinformatics and Genomic Networks (2 papers), Biomedical Text Mining and Ontologies (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Aging (329 citations), Endocrine and Autonomic Systems (67 citations), Geriatrics and Gerontology (30 citations), Physiology (180 citations) and Molecular Biology (467 citations). Daniel Wuttke has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include João Pedro de Magalhães, Thomas Craig, Robi Tăcutu, Stuart Calimport, Adiv A. Johnson, Alexandra Stolzing, Joana Cósta, Arie Budovsky, Gilad Lehmann and Vadim E. Fraifeld. Their work appears in journals such as Rejuvenation Research, Nucleic Acids Research, Pharmacological Reviews, PLoS Genetics and Molecular BioSystems.
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.