Techung Lee
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
-
- Cardiac Fibrosis and Remodeling
- Acute Myocardial Infarction Research
Papers in
- Co-authors
- Gen Suzuki (11 shared papers)John M. Canty (9 shared papers)Arsalan Shabbir (9 shared papers)David Zisa (7 shared papers)James A. Fallavollita (4 shared papers)Huey Lin (9 shared papers)Jun Feng (2 shared papers)Michalis Mastri (5 shared papers)
- Journals
- American Journal of Physiology-Heart and Circulatory Physiology (4 papers)American Journal of Physiology-Cell Physiology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular and Cellular Biochemistry (3 papers)Circulation Research (3 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Techung Lee
34 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 97
- Genetics 678
- Cardiology and Cardiovascular Medicine 404
- Biomaterials 224
- Surgery 583
- Molecular Biology 748
Countries citing papers authored by Techung Lee
This map shows the geographic impact of Techung Lee'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 Techung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Techung Lee more than expected).
Fields of papers citing papers by Techung Lee
This network shows the impact of papers produced by Techung Lee. 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 Techung Lee. The network helps show where Techung Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Techung Lee, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 236 | |
| 2 | 2001 | 222 | |
| 3 | 2009 | 176 | |
| 4 | 2009 | 96 | |
| 5 | 2010 | 86 | |
| 6 | 2008 | 79 | |
| 7 | 2005 | 77 | |
| 8 | 2016 | 75 | |
| 9 | 1998 | 74 | |
| 10 | 2012 | 70 | |
| 11 | 2011 | 68 | |
| 12 | 1999 | 67 | |
| 13 | 2009 | 65 | |
| 14 | 1990 | 54 | |
| 15 | 2008 | 50 | |
| 16 | 2005 | 50 | |
| 17 | 2013 | 48 | |
| 18 | 2013 | 47 | |
| 19 | 2009 | 45 | |
| 20 | 2000 | 41 |
About Techung Lee
Techung Lee is a scholar working on Surgery, Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Biomaterials, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (13 papers), Tissue Engineering and Regenerative Medicine (11 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Muscle Physiology and Disorders (5 papers), Cardiac Fibrosis and Remodeling (4 papers), Ubiquitin and proteasome pathways (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Genetics (678 citations), Cardiology and Cardiovascular Medicine (404 citations), Biomaterials (224 citations), Surgery (583 citations) and Molecular Biology (748 citations). Techung Lee has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Gen Suzuki, John M. Canty, Arsalan Shabbir, David Zisa, James A. Fallavollita, Huey Lin, Jun Feng, Michalis Mastri, Kazuki Sato and Vijay Iyer. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Cell Physiology, Biochemical and Biophysical Research Communications, Molecular and Cellular Biochemistry and Circulation 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.