Ting‐Hsing Chao

2.6k total citations
84 papers, 1.3k citations indexed

About

Ting‐Hsing Chao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Ting‐Hsing Chao has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cardiology and Cardiovascular Medicine, 31 papers in Surgery and 19 papers in Molecular Biology. Recurrent topics in Ting‐Hsing Chao's work include Antiplatelet Therapy and Cardiovascular Diseases (17 papers), Acute Myocardial Infarction Research (11 papers) and Angiogenesis and VEGF in Cancer (10 papers). Ting‐Hsing Chao is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (17 papers), Acute Myocardial Infarction Research (11 papers) and Angiogenesis and VEGF in Cancer (10 papers). Ting‐Hsing Chao collaborates with scholars based in Taiwan, United States and Japan. Ting‐Hsing Chao's co-authors include Yi-Heng Li, Wei‐Chuan Tsai, Jyh-Hong Chen, Ping‐Yen Liu, Hua‐Lin Wu, Chih-Chan Lin, Yi‐Heng Li, Ju‐Yi Chen, Liang‐Miin Tsai and Guey-Yueh Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Ting‐Hsing Chao

79 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ting‐Hsing Chao Taiwan 19 566 395 259 202 152 84 1.3k
Luís A. Providência Portugal 19 672 1.2× 297 0.8× 368 1.4× 144 0.7× 146 1.0× 122 1.3k
Shinzo Miyamoto Japan 22 517 0.9× 240 0.6× 269 1.0× 131 0.6× 132 0.9× 50 1.1k
Mias Pretorius United States 27 707 1.2× 424 1.1× 177 0.7× 252 1.2× 122 0.8× 59 1.7k
Jyh-Hong Chen Taiwan 23 919 1.6× 425 1.1× 411 1.6× 201 1.0× 305 2.0× 53 1.9k
Xavier García–Moll Spain 21 647 1.1× 339 0.9× 161 0.6× 171 0.8× 207 1.4× 83 1.3k
Francesco Scopacasa Italy 19 436 0.8× 451 1.1× 239 0.9× 184 0.9× 340 2.2× 29 1.3k
Toshiyuki Matsumura Japan 18 910 1.6× 375 0.9× 218 0.8× 200 1.0× 116 0.8× 35 1.5k
Rossella Liani Italy 19 503 0.9× 241 0.6× 204 0.8× 320 1.6× 211 1.4× 37 1.2k
Evren Caglayan Germany 24 507 0.9× 334 0.8× 502 1.9× 141 0.7× 126 0.8× 62 1.7k
Włodzimierz J. Musiał Poland 22 877 1.5× 434 1.1× 420 1.6× 146 0.7× 210 1.4× 146 2.0k

Countries citing papers authored by Ting‐Hsing Chao

Since Specialization
Citations

This map shows the geographic impact of Ting‐Hsing Chao'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 Ting‐Hsing Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting‐Hsing Chao more than expected).

Fields of papers citing papers by Ting‐Hsing Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Hsing Chao. 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 Ting‐Hsing Chao. The network helps show where Ting‐Hsing Chao may publish in the future.

Co-authorship network of co-authors of Ting‐Hsing Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Ting‐Hsing Chao. A scholar is included among the top collaborators of Ting‐Hsing Chao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting‐Hsing Chao. Ting‐Hsing Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Chang, Chin‐Sung, Fu‐Wen Liang, Chia‐Chun Li, et al.. (2022). Effects of age and gender on body composition indices as predictors of mortality in middle-aged and old people. Scientific Reports. 12(1). 7912–7912. 12 indexed citations
3.
Chang, Chin‐Sung, et al.. (2022). Optimal body composition indices cutoff values based on all-cause mortality in the elderly. Experimental Gerontology. 171. 112026–112026. 3 indexed citations
4.
Wang, Kuan-Chieh, Po-Sheng Chen, Ting‐Hsing Chao, et al.. (2019). The role of vascular smooth muscle cell membrane-bound thrombomodulin in neointima formation. Atherosclerosis. 287. 54–63. 6 indexed citations
5.
6.
Chang, Yin‐Fan, et al.. (2016). Relationship between the FRAX® score and falls in community-dwelling middle-aged and elderly people. SHILAP Revista de lepidopterología. 2(4). 221–227. 2 indexed citations
7.
Lee, Cheng‐Han, Ting‐Hsing Chao, Ching‐Lan Cheng, et al.. (2016). Efficacy and safety of ticagrelor versus clopidogrel in acute coronary syndrome in Taiwan: A multicenter retrospective pilot study. Journal of the Chinese Medical Association. 79(10). 521–530. 33 indexed citations
8.
9.
Chao, Ting‐Hsing, et al.. (2012). Effects of rosiglitazone on the cardiovascular profile in postmenopausal women without diabetes mellitus. Menopause The Journal of The North American Menopause Society. 19(7). 812–819. 2 indexed citations
10.
Li, Yi‐Heng, et al.. (2012). SOLUBLE THROMBOMODULIN REDUCES ENDOTHELIAL CELL APOPTOSIS BY ACTIVATION OF THE PI3 KINASE-AKT AND SUPPRESSION OF C-JUN NH2-TERMINAL KINASE. Journal of the American College of Cardiology. 59(13). E1466–E1466. 1 indexed citations
11.
Li, Yi-Heng, et al.. (2010). Thrombomodulin is Upregulated in Cardiomyocytes During Cardiac Hypertrophy and Prevents the Progression of Contractile Dysfunction. Journal of Cardiac Failure. 16(12). 980–990. 16 indexed citations
12.
13.
Chen, Ju‐Yi, Wei‐Chuan Tsai, Yungling Leo Lee, et al.. (2008). Association of premature ventricular complexes with central aortic pressure indices and pulse wave velocity. American Heart Journal. 155(3). 500.e1–500.e6. 5 indexed citations
14.
Tsai, Wei‐Chuan, Liang‐Miin Tsai, Chih‐Chan Lin, et al.. (2005). The effects of left ventricular hypertrophy on the respiratory changes in transmitral Doppler flow patterns of hypertension patients. Clinical Physiology and Functional Imaging. 25(6). 327–331. 7 indexed citations
15.
Lee, Cheng‐Han, Ting‐Hsing Chao, Liang-Miin Tsai, et al.. (2005). Transesophageal echocardiographic recognition of infiltrative cardiac sarcoma mimicking mitral stenosis. International journal of cardiac imaging. 22(3-4). 377–381. 2 indexed citations
16.
Chao, Ting‐Hsing, et al.. (2004). Elevation of the soluble thrombomodulin levels is associated with inflammation after percutaneous coronary interventions. Clinical Cardiology. 27(7). 407–410. 10 indexed citations
17.
Chao, Ting‐Hsing, Yiheng Li, Jyh-Hong Chen, Hua‐Lin Wu, & Guey‐Yueh Shi. (2003). Homozygote mutation of C161 → T polymorphism in the exon 6 of peroxisome proliferator-activated receptor γ3 gene is associated with onset of premature myocardial infarction. Journal of the American College of Cardiology. 41(6). 381–381. 1 indexed citations
18.
Li, Yi-Heng, et al.. (2001). Association of elevation of anti-helicobacter pylori antibody with myocardial ischemic events in coronary artery disease. The American Journal of Cardiology. 87(8). 1005–1007. 2 indexed citations
19.
Chao, Ting‐Hsing, et al.. (2000). Effect of Atrial Fibrillation on Pulmonary Venous Flow Patterns Assessed by Doppler Transesophageal Echocardiography. CHEST Journal. 117(6). 1546–1550. 20 indexed citations
20.
Tsai, Liang-Miin, et al.. (1999). Decreased left atrial appendage function is an important predictor of elevated left ventricular filling pressure in patients with congestive heart failure. International Journal of Cardiology. 68(1). 39–45. 10 indexed citations

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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