Su‐Chan Chen
Impact in
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
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- Venous Thromboembolism Diagnosis and Management
Papers in
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- Cardiac Valve Diseases and Treatments 1
- Acute Myocardial Infarction Research 1
- Blood Pressure and Hypertension Studies 1
- Heart Rate Variability and Autonomic Control 1
- Cardiovascular Health and Disease Prevention 1
- Oncology 1
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Hsin‐Bang Leu (4 shared papers)Chia‐Yu Chou (2 shared papers)Pai‐Feng Hsu (3 shared papers)Ying‐Hwa Chen (3 shared papers)Ju‐Pin Pan (3 shared papers)Shing‐Jong Lin (3 shared papers)Po‐Hsun Huang (3 shared papers)Tse‐Min Lu (3 shared papers)
- Journals
- European Journal of Clinical Investigation (2 papers)Journal of Clinical Hypertension (1 paper)Journal of the Chinese Medical Association (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Su‐Chan Chen
4 papers receiving 523 citations
Su‐Chan Chen's Hit Papers
Peers
Comparison fields: 5 of 55
- Oncology 277
- Internal Medicine 21
- Cardiology and Cardiovascular Medicine 109
- Biological Psychiatry 9
- Nephrology 21
Countries citing papers authored by Su‐Chan Chen
This map shows the geographic impact of Su‐Chan Chen'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 Su‐Chan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su‐Chan Chen more than expected).
Fields of papers citing papers by Su‐Chan Chen
This network shows the impact of papers produced by Su‐Chan Chen. 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 Su‐Chan Chen. The network helps show where Su‐Chan Chen may publish in the future.
Co-authors
The 24 scholars most cited alongside Su‐Chan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease Hit paper breakdown → | 2020 | 509 |
| 2 | 2019 | 13 | |
| 3 | 2022 | 6 | |
| 4 | 2023 | 2 |
About Su‐Chan Chen
Su‐Chan Chen is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 4 papers that have together received 530 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (1 paper), Cardiac Valve Diseases and Treatments (1 paper), Acute Myocardial Infarction Research (1 paper), Blood Pressure and Hypertension Studies (1 paper), Heart Rate Variability and Autonomic Control (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Oncology (277 citations), Internal Medicine (21 citations), Cardiology and Cardiovascular Medicine (109 citations), Biological Psychiatry (9 citations) and Nephrology (21 citations). Su‐Chan Chen has collaborated with scholars based in Taiwan. Frequent co-authors include Hsin‐Bang Leu, Chia‐Yu Chou, Pai‐Feng Hsu, Ying‐Hwa Chen, Ju‐Pin Pan, Shing‐Jong Lin, Po‐Hsun Huang, Tse‐Min Lu, Chin‐Chou Huang and Shao‐Sung Huang. Their work appears in journals such as European Journal of Clinical Investigation, Journal of Clinical Hypertension and Journal of the Chinese Medical Association.
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.