Li‐Teh Chang

3.3k citations
74 papers · 2.8k · h-index 32

Impact in

Papers in

Li‐Teh Chang

73 papers receiving 2.7k citations

Peers

Li‐Teh Chang
Comparison fields: 5 of 95
  • Genetics 482
  • Cardiology and Cardiovascular Medicine 397
  • Surgery 597
  • Nephrology 98
  • Neurology 101
Replace Han‐Tan Chai with:
Han‐Tan Chai Taiwan
Sheng‐Ying Chung Taiwan
Jiunn‐Jye Sheu Taiwan
Sarah Chua Taiwan
Pei‐Hsun Sung Taiwan
Tzu‐Hsien Tsai Taiwan
Steve Leu Taiwan
Tzu‐Hsien Tsai Taiwan
Paola Cassis Italy
Fan-Yen Lee Taiwan
Li‐Teh Chang relative to Han‐Tan Chai Taiwan Han‐Tan Chai's profile →
Citations per field
00.5×1.7×
Han‐Tan Chai · 1×
Citations per year

Countries citing papers authored by Li‐Teh Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Li‐Teh Chang Line = papers co-authored together Li‐Teh Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011268
2 2007192
3 2012131
4 2011119
5 2013100
6 201275
7 201271
8 201369
9 200962
10 201262
11 200957
12 201157
13 200857
14 200856
15
Adipose-derived mesenchymal stem cells embedded in platelet-rich fibrin scaffolds promote angiogenesis, preserve heart function, and reduce left ventricular remodeling in rat acute myocardial infarction.
201555
16 200752
17 201450
18 201349
19 200644
20 200743

About Li‐Teh Chang

Li‐Teh Chang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Pulmonary Hypertension Research and Treatments (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Connexins and lens biology (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Genetics (482 citations), Cardiology and Cardiovascular Medicine (397 citations), Surgery (597 citations), Nephrology (98 citations) and Neurology (101 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 Atherosclerosis and Thrombosis.

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.

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