Chun-Hung Su

1.3k citations
64 papers · 831 · h-index 17

Impact in

Papers in

Chun-Hung Su

60 papers receiving 811 citations

Peers

Chun-Hung Su
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 183
  • Internal Medicine 17
  • Endocrinology 26
  • Molecular Medicine 19
  • Surgery 153
Replace Takuya Fukuda with:
Takuya Fukuda Japan
Susan N. Elliott Canada
Kazuyuki Kasahara Japan
Yi Zeng China
Yuki Watanabe Japan
Hongbin Liu China
Minodora Dobreanu Romania
Chien‐Kuo Wang Taiwan
Christophe Lelubre Belgium
Chun-Hung Su relative to Takuya Fukuda Japan Takuya Fukuda's profile →
Citations per field
00.5×4.8×
Takuya Fukuda · 1×
Citations per year

Countries citing papers authored by Chun-Hung Su

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Hung Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 201745
3 201945
4 202043
5 202137
6 201835
7 201733
8 202029
9 202128
10 201828
11 201227
12 202024
13 201121
14 202120
15 202018
16 201218
17 202116
18 201815
19 201715
20 202114

About Chun-Hung Su

Chun-Hung Su is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 64 papers that have together received 831 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (9 papers), Hemodynamic Monitoring and Therapy (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Cardiac Imaging and Diagnostics (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (183 citations), Internal Medicine (17 citations), Endocrinology (26 citations), Molecular Medicine (19 citations) and Surgery (153 citations). Chun-Hung Su has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Shing-Hong Liu, Yu‐Hsiang Kuan, Jia-Jung Wang, Wenxi Chen, Wen‐Ying Chen, Da‐Chuan Cheng, Chun‐Jung Chen, Kwo‐Chang Ueng, Chin‐Feng Tsai and Shih‐Pin Chen. Their work appears in journals such as Sensors, PLoS ONE, International Journal of Medical Sciences, Journal of Ultrasound in Medicine and Environmental Toxicology.

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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