Chi‐Ming Chu

126 papers receiving 1.7k citations

Peers

Chi‐Ming Chu
Comparison fields: 5 of 139
  • Health Informatics 31
  • Cardiology and Cardiovascular Medicine 187
  • Endocrinology, Diabetes and Metabolism 123
  • Emergency Medicine 62
  • Cancer Research 105
Replace Manju Chandran with:
Manju Chandran Singapore
Manish Bansal India
Katherine P. Liao United States
Harry Burke United States
Ileana Baldi Italy
Barry B. Rubin Canada
Christopher R. King United States
D. Wright United Kingdom
Wojciech Lisik Poland
Chun‐Yao Huang Taiwan
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Chi‐Ming Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Ming Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Ming Chu. 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 Chi‐Ming Chu. The network helps show where Chi‐Ming Chu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201474
2 201563
3 201455
4 201954
5 201447
6 200843
7 200442
8 200539
9 201937
10 201334
11 201434
12 200733
13 202033
14 200433
15 201732
16 201231
17 202329
18 201828
19 201027
20 201525

About Chi‐Ming Chu

Chi‐Ming Chu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 133 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Trauma and Emergency Care Studies (5 papers), Gene expression and cancer classification (4 papers), Cardiac Arrest and Resuscitation (4 papers), Palliative Care and End-of-Life Issues (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Cardiac Ischemia and Reperfusion (4 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Health Informatics (31 citations), Cardiology and Cardiovascular Medicine (187 citations), Endocrinology, Diabetes and Metabolism (123 citations), Emergency Medicine (62 citations) and Cancer Research (105 citations). Chi‐Ming Chu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Shih‐Tai Chang, Yu-Tien Chang, Jen‐Te Hsu, Chi‐Wen Chang, Sui‐Lung Su, Chang‐Min Chung, Shih‐Hung Tsai, Kuo‐Li Pan, Wei‐Chou Chang and Jeng‐Shyang Pan. Their work appears in journals such as PLoS ONE, Medicine, International Journal of Environmental Research and Public Health, Scientific Reports and Journal of Medical Internet Research.

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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