Li‐Teh Chang
- Genetics top 2%
- Mesenchymal stem cell research 10
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- Cardiac Fibrosis and Remodeling 13
- Acute Myocardial Infarction Research 9
- Surgery top 5%
- Nephrology top 5%
- Neurology top 10%
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- Cardiac Ischemia and Reperfusion 9
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- Pulmonary Hypertension Research and Treatments 8
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Angiogenesis and VEGF in Cancer 7
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- Atherosclerosis and Cardiovascular Diseases 7
Li‐Teh Chang
72 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 104
- Genetics 557
- Cardiology and Cardiovascular Medicine 626
- Surgery 822
- Nephrology 122
- Neurology 128
Countries citing papers authored by Li‐Teh Chang
This map shows the geographic impact of Li‐Teh Chang'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 Li‐Teh Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Teh Chang more than expected).
Fields of papers citing papers by Li‐Teh Chang
This network shows the impact of papers produced by Li‐Teh Chang. 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 Li‐Teh Chang. The network helps show where Li‐Teh Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li‐Teh Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 28 | |
| 2 | 2014 | 36 | |
| 3 | 2013 | 23 | |
| 4 | 2013 | 24 | |
| 5 | 2012 | 125 | |
| 6 | 2012 | 14 | |
| 7 | 2012 | 61 | |
| 8 | 2011 | 115 | |
| 9 | 2011 | 32 | |
| 10 | 2011 | 32 | |
| 11 | 2010 | 13 | |
| 12 | 2010 | 28 | |
| 13 | 2010 | 38 | |
| 14 | 2010 | 15 | |
| 15 | Autologous Transplantation of Shock Wave-Treated Bone Marrow-Derived Mononuclear Cells Enhances Vascularization and Connexin43 Expression in Rat Dilated Cardiomyopathy | 2009 | 3 |
| 16 | 2009 | 61 | |
| 17 | 2009 | 30 | |
| 18 | 2006 | 10 | |
| 19 | 2005 | 22 | |
| 20 | 2005 | 27 |
About Li‐Teh Chang
Li‐Teh Chang is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Surgery, Internal Medicine and Pathology and Forensic Medicine, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (13 papers), Mesenchymal stem cell research (10 papers), Acute Myocardial Infarction Research (9 papers), Cardiac Ischemia and Reperfusion (9 papers), Pulmonary Hypertension Research and Treatments (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Angiogenesis and VEGF in Cancer (7 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). The work is most often cited by research in Genetics (557 citations), Cardiology and Cardiovascular Medicine (626 citations), Surgery (822 citations), Nephrology (122 citations) and Neurology (128 citations). Li‐Teh Chang has collaborated with scholars based in Taiwan, Egypt and United States. Frequent co-authors include Hon‐Kan Yip, Cheuk‐Kwan Sun, Sarah Chua, Steve Leu, Jiunn‐Jye Sheu, Chiung‐Jen Wu, Ali A. Youssef, Yung‐Lung Chen, Chia‐Hung Yen and Fan-Yen Lee. Their work appears in journals such as Circulation Journal, Journal of Translational Medicine, International Journal of Cardiology, Critical Care Medicine and Journal of Cardiovascular Pharmacology.
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.