Dao‐Fu Dai
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 1%
Papers in
-
- Mitochondrial Function and Pathology 21
- Muscle Physiology and Disorders 4
- ATP Synthase and ATPases Research 3
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Peter S. Rabinovitch (27 shared papers)Hazel H. Szeto (4 shared papers)David J. Marcinek (5 shared papers)Tony Chen (4 shared papers)Michael J. MacCoss (12 shared papers)Zoltán Ungvári (1 shared paper)Luis F. Santana (4 shared papers)Ying Ann Chiao (6 shared papers)
- Journals
- Aging Cell (5 papers)The FASEB Journal (3 papers)PLoS ONE (3 papers)JCI Insight (3 papers)Journal of the American College of Cardiology (3 papers)
- Partner nations
- United StatesTaiwanRussia
In The Last Decade
Dao‐Fu Dai
70 papers receiving 4.9k citations
Dao‐Fu Dai's Hit Papers
Peers
Comparison fields: 5 of 133
- Aging 524
- Geriatrics and Gerontology 166
- Physiology 1.1k
- Cardiology and Cardiovascular Medicine 884
- Molecular Biology 2.6k
Countries citing papers authored by Dao‐Fu Dai
This map shows the geographic impact of Dao‐Fu Dai'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 Dao‐Fu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dao‐Fu Dai more than expected).
Fields of papers citing papers by Dao‐Fu Dai
This network shows the impact of papers produced by Dao‐Fu Dai. 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 Dao‐Fu Dai. The network helps show where Dao‐Fu Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dao‐Fu Dai, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 422 | |
| 2 | Overexpression of Catalase Targeted to Mitochondria Attenuates Murine Cardiac Aging Hit paper breakdown → | 2009 | 400 |
| 3 | 2014 | 370 | |
| 4 | 2012 | 353 | |
| 5 | 2011 | 299 | |
| 6 | 2012 | 280 | |
| 7 | 2014 | 260 | |
| 8 | 2012 | 246 | |
| 9 | 2010 | 230 | |
| 10 | 2009 | 188 | |
| 11 | 2011 | 148 | |
| 12 | 2010 | 136 | |
| 13 | 2013 | 122 | |
| 14 | 2015 | 109 | |
| 15 | 2019 | 104 | |
| 16 | 2008 | 92 | |
| 17 | 2014 | 84 | |
| 18 | 2006 | 80 | |
| 19 | 2017 | 68 | |
| 20 | 2017 | 67 |
About Dao‐Fu Dai
Dao‐Fu Dai is a scholar working on Molecular Biology, Aging, Nephrology, Physiology and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 5.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (21 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Adipose Tissue and Metabolism (7 papers), Renal Diseases and Glomerulopathies (5 papers), Parathyroid Disorders and Treatments (4 papers), Muscle Physiology and Disorders (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and ATP Synthase and ATPases Research (3 papers). The work is most often cited by research in Aging (524 citations), Geriatrics and Gerontology (166 citations), Physiology (1.1k citations), Cardiology and Cardiovascular Medicine (884 citations) and Molecular Biology (2.6k citations). Dao‐Fu Dai has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Peter S. Rabinovitch, Hazel H. Szeto, David J. Marcinek, Tony Chen, Michael J. MacCoss, Zoltán Ungvári, Luis F. Santana, Ying Ann Chiao, Simon C. Johnson and Madeline Nieves‐Cintrón. Their work appears in journals such as Aging Cell, The FASEB Journal, PLoS ONE, JCI Insight and Journal of the American College of Cardiology.
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.