Daniel Jung
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
-
- Muscle Physiology and Disorders 11
- RNA Interference and Gene Delivery 6
-
- Geriatric Care and Nursing Homes 9
- Co-authors
- Kevin P. Campbell (10 shared papers)Bin Yang (3 shared papers)Jeffrey S. Chamberlain (3 shared papers)Jon Meyer (2 shared papers)Jill A. Rafael (2 shared papers)David G. Motto (1 shared paper)Gary A. Koretzky (1 shared paper)Imshik Lee (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Vascular Surgery (5 papers)Journal of Immunological Methods (4 papers)Annals of Vascular Surgery (4 papers)Health Services Research (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Daniel Jung
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Internal Medicine 134
- Rehabilitation 146
- Aging 35
- Molecular Biology 1.3k
- Physiology 471
Countries citing papers authored by Daniel Jung
This map shows the geographic impact of Daniel Jung'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 Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jung more than expected).
Fields of papers citing papers by Daniel Jung
This network shows the impact of papers produced by Daniel Jung. 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 Jung. The network helps show where Daniel Jung may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Jung, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 283 | |
| 2 | 1995 | 228 | |
| 3 | 1996 | 161 | |
| 4 | 2000 | 138 | |
| 5 | 1995 | 112 | |
| 6 | 1997 | 87 | |
| 7 | 1996 | 76 | |
| 8 | 2011 | 51 | |
| 9 | 2009 | 50 | |
| 10 | 1996 | 46 | |
| 11 | 2012 | 44 | |
| 12 | 1993 | 39 | |
| 13 | 1993 | 38 | |
| 14 | 2012 | 37 | |
| 15 | 2018 | 37 | |
| 16 | 1991 | 34 | |
| 17 | 2018 | 31 | |
| 18 | 1997 | 29 | |
| 19 | 2002 | 28 | |
| 20 | 2012 | 25 |
About Daniel Jung
Daniel Jung is a scholar working on Molecular Biology, General Health Professions, Health, Surgery and Epidemiology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Health disparities and outcomes (13 papers), Muscle Physiology and Disorders (11 papers), Geriatric Care and Nursing Homes (9 papers), Virus-based gene therapy research (6 papers), Central Venous Catheters and Hemodialysis (6 papers), Venous Thromboembolism Diagnosis and Management (6 papers), RNA Interference and Gene Delivery (6 papers) and Healthcare Policy and Management (5 papers). The work is most often cited by research in Internal Medicine (134 citations), Rehabilitation (146 citations), Aging (35 citations), Molecular Biology (1.3k citations) and Physiology (471 citations). Daniel Jung has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kevin P. Campbell, Bin Yang, Jeffrey S. Chamberlain, Jon Meyer, Jill A. Rafael, David G. Motto, Gary A. Koretzky, Imshik Lee, Kyung Bin Song and Kathleen Corrado. Their work appears in journals such as Journal of Biological Chemistry, Journal of Vascular Surgery, Journal of Immunological Methods, Annals of Vascular Surgery and Health Services Research.
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.