Chao‐Yung Wang

3.4k total citations
86 papers, 2.4k citations indexed

About

Chao‐Yung Wang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Chao‐Yung Wang has authored 86 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 28 papers in Surgery and 21 papers in Molecular Biology. Recurrent topics in Chao‐Yung Wang's work include Coronary Interventions and Diagnostics (19 papers), Cardiac Imaging and Diagnostics (9 papers) and Cardiac Valve Diseases and Treatments (9 papers). Chao‐Yung Wang is often cited by papers focused on Coronary Interventions and Diagnostics (19 papers), Cardiac Imaging and Diagnostics (9 papers) and Cardiac Valve Diseases and Treatments (9 papers). Chao‐Yung Wang collaborates with scholars based in Taiwan, United States and China. Chao‐Yung Wang's co-authors include James K. Liao, Ming‐Shien Wen, Jih‐Kai Yeh, Ching‐Lin Hsieh, Victor Chien‐Chia Wu, Kuo‐Chun Hung, Ming-Yun Ho, Ming‐Jer Hsieh, Shuei‐Liong Lin and Chun‐Chi Chen and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Chao‐Yung Wang

84 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Yung Wang Taiwan 25 886 788 489 438 396 86 2.4k
Eric J. Belin de Chantemèle United States 29 772 0.9× 567 0.7× 798 1.6× 355 0.8× 411 1.0× 87 2.5k
Giuseppe Alloatti Italy 36 816 0.9× 1.4k 1.8× 1.1k 2.2× 273 0.6× 371 0.9× 101 3.4k
Milan Obradović Serbia 23 590 0.7× 590 0.7× 244 0.5× 493 1.1× 324 0.8× 78 2.4k
Renming Hu China 33 753 0.8× 855 1.1× 688 1.4× 532 1.2× 413 1.0× 105 3.1k
Yasuhiro Sumida Japan 28 723 0.8× 699 0.9× 424 0.9× 761 1.7× 263 0.7× 62 2.8k
Yi Chu United States 36 750 0.8× 901 1.1× 905 1.9× 327 0.7× 303 0.8× 79 3.0k
Cédric Dray France 31 935 1.1× 725 0.9× 696 1.4× 516 1.2× 1.3k 3.2× 63 3.7k
Stephen M. Richards Australia 28 793 0.9× 697 0.9× 739 1.5× 206 0.5× 273 0.7× 88 2.3k
Gianfranco Guarnieri Italy 34 1.5k 1.7× 667 0.8× 241 0.5× 498 1.1× 323 0.8× 85 3.1k
Joseph M. McClung United States 32 999 1.1× 1.9k 2.4× 284 0.6× 272 0.6× 425 1.1× 78 3.4k

Countries citing papers authored by Chao‐Yung Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Yung Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao‐Yung Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Yung Wang. A scholar is included among the top collaborators of Chao‐Yung Wang 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 Chao‐Yung Wang. Chao‐Yung Wang 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.
Hsieh, Ming‐Jer, Jih‐Kai Yeh, Yu‐Chang Huang, et al.. (2024). Cardiac power output associated with hospitalization and mortality in coronary artery disease patients at stage B heart failure. IJC Heart & Vasculature. 55. 101521–101521. 1 indexed citations
3.
Ho, Ming-Yun, Jih‐Kai Yeh, Yi‐Chun Huang, et al.. (2024). MicroRNA dynamics in irisin-mediated signaling pathways within adipose tissue. Journal of Biosciences. 49(4). 2 indexed citations
4.
Lee, Li‐Ang, Hai‐Hua Chuang, Chao‐Yung Wang, et al.. (2023). Using sleep heart rate variability to investigate the sleep quality in children with obstructive sleep apnea. Frontiers in Public Health. 11. 1103085–1103085. 8 indexed citations
5.
Kao, Yu‐Cheng, Ming‐Shyan Lin, Chao‐Yung Wang, et al.. (2023). Optimal Heart Rate Control Improves Long-Term Prognosis of Decompensated Heart Failure with Reduced Ejection Fraction. Medicina. 59(2). 348–348. 3 indexed citations
7.
Shen, Wen‐Chi, Chiou‐Hwa Yuh, Yuting Lu, et al.. (2023). Reduced Ribose-5-Phosphate Isomerase A-1 Expression in Specific Neurons and Time Points Promotes Longevity in Caenorhabditis elegans. Antioxidants. 12(1). 124–124. 3 indexed citations
8.
Lin, Ming‐Shyan, Tzu‐Hsien Tsai, Ning‐I Yang, et al.. (2023). Comparing angiotensin receptor–neprilysin inhibitors with sodium–glucose cotransporter 2 inhibitors for heart failure with diabetes mellitus. Diabetology & Metabolic Syndrome. 15(1). 8 indexed citations
9.
Chuang, Hai‐Hua, Chao‐Yung Wang, Li‐Pang Chuang, et al.. (2022). The 3% Oxygen Desaturation Index is an Independent Risk Factor for Hypertension Among Children with Obstructive Sleep Apnea. Nature and Science of Sleep. Volume 14. 1149–1164. 6 indexed citations
10.
Chuang, Hai‐Hua, Jen‐Fu Hsu, Chao‐Yung Wang, et al.. (2021). Hypertension in Children with Obstructive Sleep Apnea Syndrome—Age, Weight Status, and Disease Severity. International Journal of Environmental Research and Public Health. 18(18). 9602–9602. 16 indexed citations
11.
Chang, Chih‐Hsiang, Pei‐Chun Fan, Yu‐Sheng Lin, et al.. (2021). Dialysis Mode and Associated Outcomes in Patients With End‐Stage Renal Disease and Atrial Fibrillation: A 14‐Year Nationwide Cohort Study. Journal of the American Heart Association. 10(12). e019596–e019596. 4 indexed citations
12.
Wang, Chao‐Yung, Chun‐Chi Chen, Huiting Su, et al.. (2020). TLR9 Binding to Beclin 1 and Mitochondrial SIRT3 by a Sodium-Glucose Co-Transporter 2 Inhibitor Protects the Heart from Doxorubicin Toxicity. Biology. 9(11). 369–369. 51 indexed citations
13.
Yeh, Jih‐Kai, et al.. (2019). Telomeres as Therapeutic Targets in Heart Disease. JACC Basic to Translational Science. 4(7). 855–865. 35 indexed citations
14.
Ho, Ming-Yun, Ming‐Shien Wen, Jih‐Kai Yeh, et al.. (2018). Excessive irisin increases oxidative stress and apoptosis in murine heart. Biochemical and Biophysical Research Communications. 503(4). 2493–2498. 31 indexed citations
15.
Hsieh, Ching‐Lin, Ming-Yun Ho, Ming‐Shien Wen, et al.. (2018). Serum irisin levels are associated with adverse cardiovascular outcomes in patients with acute myocardial infarction. International Journal of Cardiology. 261. 12–17. 45 indexed citations
16.
Hsieh, Ming‐Jer, Yu‐Chang Huang, Jih‐Kai Yeh, et al.. (2017). Predictors of Long-Term Outcomes After Drug-Eluting Balloon Angioplasty for Bare-Metal Stent Restenosis. Heart Lung and Circulation. 27(5). 588–594. 4 indexed citations
17.
Wang, Chao‐Yung, Jih‐Kai Yeh, Shian‐Sen Shie, Ching‐Lin Hsieh, & Ming‐Shien Wen. (2015). Circadian rhythm of RNA N6-methyladenosine and the role of cryptochrome. Biochemical and Biophysical Research Communications. 465(1). 88–94. 34 indexed citations
18.
Wen, Ming‐Shien, Shian‐Sen Shie, Yu‐Lun Lo, et al.. (2014). The circadian rhythm controls telomeres and telomerase activity. Biochemical and Biophysical Research Communications. 451(3). 408–414. 71 indexed citations
19.
Chang, Shang‐Hung, et al.. (2013). Lesion Length Impacts Long Term Outcomes of Drug-Eluting Stents and Bare Metal Stents Differently. PLoS ONE. 8(1). e53207–e53207. 15 indexed citations
20.
Yang, Chia‐Hung, Ming‐Jer Hsieh, Chun‐Chi Chen, et al.. (2012). SYNTAX score. Coronary Artery Disease. 23(7). 445–449. 32 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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