Hung D. Tran
Impact in
-
- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
Papers in
- Surgery 11
- Pancreatic function and diabetes 7
-
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Kenneth S. Polonsky (9 shared papers)Jaeman Byun (6 shared papers)Jay W. Heinecke (6 shared papers)Joseph P. Gaut (6 shared papers)James D. Johnson (4 shared papers)Zhiqiang Han (4 shared papers)Dan S. Luciani (3 shared papers)Abderrazzaq Belaaouaj (4 shared papers)
- Journals
- Journal of Clinical Investigation (7 papers)Diabetes (3 papers)Journal of the American Society of Echocardiography (3 papers)Applied Physics Letters (2 papers)Analytical Biochemistry (2 papers)
- Partner nations
- United StatesVietnamIndia
In The Last Decade
Hung D. Tran
36 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 496
- Endocrinology, Diabetes and Metabolism 363
- Surgery 877
- Physiology 321
- Genetics 360
Countries citing papers authored by Hung D. Tran
This map shows the geographic impact of Hung D. Tran'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 Hung D. Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung D. Tran more than expected).
Fields of papers citing papers by Hung D. Tran
This network shows the impact of papers produced by Hung D. Tran. 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 Hung D. Tran. The network helps show where Hung D. Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung D. Tran, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 281 | |
| 2 | 2003 | 277 | |
| 3 | 2006 | 273 | |
| 4 | 2001 | 219 | |
| 5 | 2014 | 186 | |
| 6 | 2002 | 180 | |
| 7 | 2002 | 160 | |
| 8 | 2002 | 119 | |
| 9 | 2009 | 116 | |
| 10 | 2007 | 108 | |
| 11 | 2009 | 103 | |
| 12 | 2008 | 65 | |
| 13 | 2010 | 60 | |
| 14 | 2012 | 59 | |
| 15 | 2020 | 48 | |
| 16 | 2010 | 41 | |
| 17 | 2006 | 36 | |
| 18 | 2006 | 31 | |
| 19 | 2018 | 29 | |
| 20 | 2021 | 25 |
About Hung D. Tran
Hung D. Tran is a scholar working on Surgery, Molecular Biology, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Nitric Oxide and Endothelin Effects (5 papers), Neuropeptides and Animal Physiology (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Diabetes Treatment and Management (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Diabetes and associated disorders (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (496 citations), Endocrinology, Diabetes and Metabolism (363 citations), Surgery (877 citations), Physiology (321 citations) and Genetics (360 citations). Hung D. Tran has collaborated with scholars based in United States, Vietnam and India. Frequent co-authors include Kenneth S. Polonsky, Jaeman Byun, Jay W. Heinecke, Joseph P. Gaut, James D. Johnson, Zhiqiang Han, Dan S. Luciani, Abderrazzaq Belaaouaj, Richard S. Hotchkiss and Stanley Misler. Their work appears in journals such as Journal of Clinical Investigation, Diabetes, Journal of the American Society of Echocardiography, Applied Physics Letters and Analytical Biochemistry.
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.