Wei‐Chin Hung

4.2k citations
114 papers · 3.5k · h-index 29

Impact in

Papers in

Wei‐Chin Hung

111 papers receiving 3.4k citations

Peers

Wei‐Chin Hung
Comparison fields: 5 of 135
  • Microbiology 509
  • Cardiology and Cardiovascular Medicine 612
  • Molecular Medicine 127
  • Nephrology 168
  • Molecular Biology 1.5k
Replace Yoshio Uehara with:
Yoshio Uehara Japan
Dongdong Wu China
Xu Chen China
Giulio Cabrini Italy
Anthony R.J. Phillips New Zealand
Wen Zhang China
Yan Hu China
Kari K. Eklund Finland
Katherine A. Lyseng‐Williamson New Zealand
Ichiro Mori Japan
Wei‐Chin Hung relative to Yoshio Uehara Japan Yoshio Uehara's profile →
Citations per field
00.5×3.0×
Yoshio Uehara · 1×
Citations per year

Countries citing papers authored by Wei‐Chin Hung

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chin Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007362
2 2013297
3 2008241
4 2008188
5 2005122
6 2008121
7 2009106
8 200392
9 200890
10 201777
11 201071
12 199766
13 201065
14 201064
15 200061
16 201360
17 200960
18 201459
19 200557
20 202056

About Wei‐Chin Hung

Wei‐Chin Hung is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 114 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (18 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Coronary Interventions and Diagnostics (9 papers), Acute Myocardial Infarction Research (9 papers), Antimicrobial Peptides and Activities (7 papers), Vascular Procedures and Complications (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). The work is most often cited by research in Microbiology (509 citations), Cardiology and Cardiovascular Medicine (612 citations), Molecular Medicine (127 citations), Nephrology (168 citations) and Molecular Biology (1.5k citations). Wei‐Chin Hung has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Huey W. Huang, Ming-Tao Lee, Fang-Yu Chen, Teng‐Hung Yu, Fu‐Mei Chung, Yau‐Jiunn Lee, Tzu-Lin Sun, Chao-Ping Wang, I‐Ting Tsai and Yung‐Chuan Lu. Their work appears in journals such as Biophysical Journal, International Journal of Medical Sciences, Circulation Journal, Clinica Chimica Acta and Catheterization and Cardiovascular Interventions.

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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