Chun-Hung Su

1.3k citations
68 papers · 984 · h-index 18

Impact in

Papers in

    • Antiplatelet Therapy and Cardiovascular Diseases 6
    • Heart Rate Variability and Autonomic Control 5
    • Hemodynamic Monitoring and Therapy 6
    • Lipoproteins and Cardiovascular Health 3

Chun-Hung Su

67 papers receiving 957 citations

Peers

Chun-Hung Su
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 229
  • Internal Medicine 19
  • Endocrinology 27
  • Surgery 181
  • Molecular Medicine 19
Replace Jong‐Hau Hsu with:
Jong‐Hau Hsu Taiwan
Jamal Ahmad India
Tobias Schuerholz Germany
Sang‐Hyun Park South Korea
Mingchen Song United States
Kazuyuki Kasahara Japan
Chantelle Venter South Africa
Rui Tian China
Wayde M. Weston United States
Forest R. Sheppard United States
Chun-Hung Su relative to Jong‐Hau Hsu Taiwan Jong‐Hau Hsu's profile →
Citations per field
00.5×2×3×
Jong‐Hau Hsu · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 201947
3 201747
4 202046
5 202140
6 201939
7 201738
8 201835
9 202031
10 201231
11 201829
12 202128
13 202028
14 202326
15 201123
16 201221
17 202121
18 202018
19 202417
20 202117

About Chun-Hung Su

Chun-Hung Su is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Internal Medicine and Biomedical Engineering, having authored 68 papers that have together received 984 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), Cerebrovascular and Carotid Artery Diseases (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Cardiac Imaging and Diagnostics (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (229 citations), Internal Medicine (19 citations), Endocrinology (27 citations), Surgery (181 citations) and Molecular Medicine (19 citations). Chun-Hung Su has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Shing-Hong Liu, Kuan Yu-Hsiang, Jia-Jung Wang, Wenxi Chen, Da‐Chuan Cheng, Chun‐Jung Chen, Wen‐Ying Chen, Kwo-Chnag Ueng, Chin‐Feng Tsai and Shiuan‐Chih Chen. Their work appears in journals such as Sensors, PLoS ONE, International Journal of Medical Sciences, Oxidative Medicine and Cellular Longevity and Ecotoxicology and Environmental Safety.

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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