Kuo‐Chun Hung

2.5k citations
108 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Kuo‐Chun Hung

105 papers receiving 1.7k citations

Peers

Kuo‐Chun Hung
Comparison fields: 5 of 124
  • Rehabilitation 293
  • Biomaterials 331
  • Cardiology and Cardiovascular Medicine 521
  • Nephrology 122
  • Endocrinology, Diabetes and Metabolism 195
Replace Ming‐Jer Hsieh with:
Ming‐Jer Hsieh Taiwan
Mohamed A. Zayed United States
Janice Tsui United Kingdom
Eric Chong Singapore
Jie Xu China
Jason D. Allen United States
Bernd Stratmann Germany
Alberto Balbarini Italy
Diethelm Tschoepe Germany
Sang Hong Baek South Korea
Kuo‐Chun Hung relative to Ming‐Jer Hsieh Taiwan Ming‐Jer Hsieh's profile →
Citations per field
00.5×3.6×
Ming‐Jer Hsieh · 1×
Citations per year

Countries citing papers authored by Kuo‐Chun Hung

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Chun Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chun Hung. 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 Kuo‐Chun Hung. The network helps show where Kuo‐Chun Hung may publish in the future.

Co-authors

The 25 scholars most cited alongside Kuo‐Chun Hung, 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 Kuo‐Chun Hung Line = papers co-authored together Kuo‐Chun Hung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20235
4 20233
5 20221
6 20227
7 202126
8 201831
9 201810
10 201845
11 201516
12 201546
13 201442
14 2013162
15 201321
16 20057
17 200519
18 200412
19 200413
20 200130

About Kuo‐Chun Hung

Kuo‐Chun Hung is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Rehabilitation, Biomaterials and Surgery, having authored 108 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (27 papers), Electrospun Nanofibers in Biomedical Applications (16 papers), Cardiac Imaging and Diagnostics (15 papers), Coronary Interventions and Diagnostics (14 papers), Infective Endocarditis Diagnosis and Management (12 papers), Aortic Disease and Treatment Approaches (11 papers), Cardiac Arrhythmias and Treatments (11 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Rehabilitation (293 citations), Biomaterials (331 citations), Cardiology and Cardiovascular Medicine (521 citations), Nephrology (122 citations) and Endocrinology, Diabetes and Metabolism (195 citations). Kuo‐Chun Hung has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming‐Shien Wen, Ching‐Lin Hsieh, Shang‐Hung Chang, Chao‐Yung Wang, Cheng‐Hung Lee, Shih‐Jung Liu, Ming‐Jer Hsieh, Shuei‐Liong Lin, Jyuhn‐Huarng Juang and Victor Chien‐Chia Wu. Their work appears in journals such as Circulation Journal, PLoS ONE, International Journal of Cardiology, Journal of the American Heart Association and Medicine.

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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