Daniel G. Fraser
Impact in
- Aging top 2%
-
- Bone health and osteoporosis research
Papers in
-
- Bone Metabolism and Diseases 11
- Physiology 14
- Asthma and respiratory diseases 8
- Telomeres, Telomerase, and Senescence 5
- 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 131
- Aging 134
- Orthopedics and Sports Medicine 349
- Physiology 878
- Genetics 347
- Analytical Chemistry 312
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 | 819 |
| 2 | Identification of Senescent Cells in the Bone Microenvironment Hit paper breakdown → | 2016 | 403 |
| 3 | 2005 | 322 | |
| 4 | 2000 | 164 | |
| 5 | 1988 | 149 | |
| 6 | 2005 | 99 | |
| 7 | 2019 | 95 | |
| 8 | 1987 | 92 | |
| 9 | 2003 | 87 | |
| 10 | 2003 | 85 | |
| 11 | 2020 | 79 | |
| 12 | 2020 | 78 | |
| 13 | 2005 | 57 | |
| 14 | 2006 | 55 | |
| 15 | 2000 | 48 | |
| 16 | 2020 | 47 | |
| 17 | 2010 | 44 | |
| 18 | 2018 | 38 | |
| 19 | 2015 | 28 | |
| 20 | 2005 | 27 |
About Daniel G. Fraser
Daniel G. Fraser is a scholar working on Molecular Biology, Physiology, 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 (11 papers), Estrogen and related hormone effects (9 papers), Asthma and respiratory diseases (8 papers), Telomeres, Telomerase, and Senescence (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Bone health and osteoporosis research (4 papers), Mesenchymal stem cell research (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Aging (134 citations), Orthopedics and Sports Medicine (349 citations), Physiology (878 citations), Genetics (347 citations) and Analytical Chemistry (312 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, Mikołaj Ogrodnik and Robert J. Pignolo. 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.