Daniel G. Fraser
Impact in
- Aging top 2%
-
- Bone health and osteoporosis research
Papers in
- Physiology 14
- Asthma and respiratory diseases 8
- Telomeres, Telomerase, and Senescence 5
-
- Bone Metabolism and Diseases 10
- Co-authors
- Sundeep Khosla (18 shared papers)David G. Monroe (13 shared papers)Joshua N. Farr (8 shared papers)James L. Kirkland (3 shared papers)Tamar Tchkonia (3 shared papers)P. Schaare (1 shared paper)Megan Weivoda (4 shared papers)Matthew T. Drake (3 shared papers)
- Journals
- Journal of Bone and Mineral Research (7 papers)Journal of Pharmacology and Experimental Therapeutics (3 papers)Bone (3 papers)Endocrinology (2 papers)Postharvest Biology and Technology (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Daniel G. Fraser
37 papers receiving 3.0k citations
Daniel G. Fraser's Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 132
- Orthopedics and Sports Medicine 326
- Physiology 835
- Genetics 327
- Analytical Chemistry 316
Countries citing papers authored by Daniel G. Fraser
This map shows the geographic impact of Daniel G. Fraser'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 G. Fraser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Fraser more than expected).
Fields of papers citing papers by Daniel G. Fraser
This network shows the impact of papers produced by Daniel G. Fraser. 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 G. Fraser. The network helps show where Daniel G. Fraser may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Fraser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting cellular senescence prevents age-related bone loss in mice Hit paper breakdown → | 2017 | 849 |
| 2 | 2016 | 418 | |
| 3 | 2005 | 322 | |
| 4 | 2000 | 167 | |
| 5 | 1988 | 149 | |
| 6 | 2019 | 100 | |
| 7 | 2005 | 99 | |
| 8 | 1987 | 92 | |
| 9 | 2003 | 90 | |
| 10 | 2003 | 86 | |
| 11 | 2020 | 85 | |
| 12 | 2020 | 83 | |
| 13 | 2005 | 57 | |
| 14 | 2006 | 56 | |
| 15 | 2020 | 53 | |
| 16 | 2000 | 48 | |
| 17 | 2010 | 44 | |
| 18 | 2018 | 38 | |
| 19 | 2015 | 28 | |
| 20 | 2005 | 27 |
About Daniel G. Fraser
Daniel G. Fraser is a scholar working on Physiology, Molecular Biology, Immunology, Genetics and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (10 papers), Estrogen and related hormone effects (8 papers), Asthma and respiratory diseases (8 papers), Telomeres, Telomerase, and Senescence (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Bone health and osteoporosis research (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Aging (132 citations), Orthopedics and Sports Medicine (326 citations), Physiology (835 citations), Genetics (327 citations) and Analytical Chemistry (316 citations). Daniel G. Fraser has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sundeep Khosla, David G. Monroe, Joshua N. Farr, James L. Kirkland, Tamar Tchkonia, P. Schaare, Megan Weivoda, Matthew T. Drake, Robert J. Pignolo and Mikołaj Ogrodnik. Their work appears in journals such as Journal of Bone and Mineral Research, Journal of Pharmacology and Experimental Therapeutics, Bone, Endocrinology and Postharvest Biology and Technology.
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.