Ju‐Pin Pan
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
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- Acute Myocardial Infarction Research
- Cardiovascular Disease and Adiposity
Papers in
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- Acute Myocardial Infarction Research 5
- Surgery 10
- Lipoproteins and Cardiovascular Health 5
- Coronary Interventions and Diagnostics 3
- Co-authors
- Shao‐Sung Huang (8 shared papers)Shih‐Hsien Sung (5 shared papers)Po‐Hsun Huang (6 shared papers)Yenn‐Jiang Lin (5 shared papers)Pai‐Feng Hsu (5 shared papers)Wan Leong Chan (5 shared papers)Hsin‐Bang Leu (5 shared papers)Jaw‐Wen Chen (6 shared papers)
In The Last Decade
Ju‐Pin Pan
27 papers receiving 813 citations
Ju‐Pin Pan's Hit Papers
Peers
Comparison fields: 5 of 89
- Internal Medicine 56
- Cardiology and Cardiovascular Medicine 271
- Oncology 272
- Nephrology 48
- Biological Psychiatry 14
Countries citing papers authored by Ju‐Pin Pan
This map shows the geographic impact of Ju‐Pin Pan'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 Ju‐Pin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju‐Pin Pan more than expected).
Fields of papers citing papers by Ju‐Pin Pan
This network shows the impact of papers produced by Ju‐Pin Pan. 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 Ju‐Pin Pan. The network helps show where Ju‐Pin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju‐Pin Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease Hit paper breakdown → | 2020 | 455 |
| 2 | 2003 | 39 | |
| 3 | 2020 | 35 | |
| 4 | 2013 | 34 | |
| 5 | 1998 | 33 | |
| 6 | 2001 | 32 | |
| 7 | 2007 | 26 | |
| 8 | The risk of coronary artery disease in population of Taiwan is associated with Cys-Ser 311 polymorphism of human paraoxonase (PON)-2 gene. | 2002 | 22 |
| 9 | 2004 | 19 | |
| 10 | 1991 | 19 | |
| 11 | 2011 | 15 | |
| 12 | 2006 | 12 | |
| 13 | 2011 | 12 | |
| 14 | 2002 | 10 | |
| 15 | 2000 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2012 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2018 | 6 |
About Ju‐Pin Pan
Ju‐Pin Pan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Cell Biology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 28 papers that have together received 821 indexed citations. Recurring topics across this work include Hemoglobin structure and function (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Acute Myocardial Infarction Research (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Coronary Interventions and Diagnostics (3 papers), Cardiac Imaging and Diagnostics (3 papers), Neonatal Health and Biochemistry (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Internal Medicine (56 citations), Cardiology and Cardiovascular Medicine (271 citations), Oncology (272 citations), Nephrology (48 citations) and Biological Psychiatry (14 citations). Ju‐Pin Pan has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Shao‐Sung Huang, Shih‐Hsien Sung, Po‐Hsun Huang, Yenn‐Jiang Lin, Pai‐Feng Hsu, Wan Leong Chan, Hsin‐Bang Leu, Jaw‐Wen Chen, Ya‐Ling Yang and Chin‐Chou Huang. Their work appears in journals such as Journal of Cellular Biochemistry, Catheterization and Cardiovascular Interventions, PLoS ONE, Scientific Reports and Journal of Investigative Medicine.
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.