Daniel Edgar
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 9
- ATP Synthase and ATPases Research 2
- DNA Repair Mechanisms 1
-
- Metabolism and Genetic Disorders 4
- Co-authors
- Aleksandra Trifunović (5 shared papers)Irina G. Shabalina (4 shared papers)Jan Nedergaard (4 shared papers)Nils‐Göran Larsson (3 shared papers)Barbara Cannon (3 shared papers)Azar Asadi Shahmirzadi (1 shared paper)Gordon J. Lithgow (1 shared paper)Yolanda Cámara (1 shared paper)
- Journals
- Cell Metabolism (3 papers)Aging (2 papers)PLoS Genetics (1 paper)Human Molecular Genetics (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Daniel Edgar
14 papers receiving 929 citations
Daniel Edgar's Hit Papers
Peers
Comparison fields: 5 of 94
- Aging 227
- Clinical Biochemistry 115
- Biological Psychiatry 27
- Physiology 253
- Geriatrics and Gerontology 31
Countries citing papers authored by Daniel Edgar
This map shows the geographic impact of Daniel Edgar'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 Edgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Edgar more than expected).
Fields of papers citing papers by Daniel Edgar
This network shows the impact of papers produced by Daniel Edgar. 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 Edgar. The network helps show where Daniel Edgar may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Edgar, 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 | Alpha-Ketoglutarate, an Endogenous Metabolite, Extends Lifespan and Compresses Morbidity in Aging Mice Hit paper breakdown → | 2020 | 290 |
| 2 | 2009 | 181 | |
| 3 | 2018 | 131 | |
| 4 | 2017 | 86 | |
| 5 | 2011 | 64 | |
| 6 | 2014 | 63 | |
| 7 | 2009 | 53 | |
| 8 | 2017 | 23 | |
| 9 | 2015 | 19 | |
| 10 | 1979 | 14 | |
| 11 | 2011 | 12 | |
| 12 | 2024 | 5 | |
| 13 | 2010 | 5 | |
| 14 | 2006 | 1 | |
| 15 | 2025 | 0 |
About Daniel Edgar
Daniel Edgar is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Aging and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 947 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Metabolism and Genetic Disorders (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genetic Neurodegenerative Diseases (2 papers), ATP Synthase and ATPases Research (2 papers), Adipose Tissue and Metabolism (2 papers), Salmonella and Campylobacter epidemiology (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Aging (227 citations), Clinical Biochemistry (115 citations), Biological Psychiatry (27 citations), Physiology (253 citations) and Geriatrics and Gerontology (31 citations). Daniel Edgar has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Aleksandra Trifunović, Irina G. Shabalina, Jan Nedergaard, Nils‐Göran Larsson, Barbara Cannon, Azar Asadi Shahmirzadi, Gordon J. Lithgow, Yolanda Cámara, Leo Nijtmans and Brian K. Kennedy. Their work appears in journals such as Cell Metabolism, Aging, PLoS Genetics, Human Molecular Genetics and Biochemical and Biophysical Research 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.