Hon‐Kan Yip
Impact in
- Genetics top 0.2%
- Mesenchymal stem cell research
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- Acute Myocardial Infarction Research
- Cardiac Fibrosis and Remodeling
Papers in
- Genetics 87
- Mesenchymal stem cell research 87
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- Acute Myocardial Infarction Research 53
- Cardiac Fibrosis and Remodeling 27
- Co-authors
- Cheuk‐Kwan Sun (133 shared papers)Chiung‐Jen Wu (142 shared papers)Hsueh‐Wen Chang (83 shared papers)Pei‐Hsun Sung (156 shared papers)Steve Leu (72 shared papers)Li‐Teh Chang (74 shared papers)Sarah O. Chua (98 shared papers)Tzu‐Hsien Tsai (73 shared papers)
In The Last Decade
Hon‐Kan Yip
415 papers receiving 10.8k citations
Peers
Comparison fields: 5 of 122
- Genetics 2.1k
- Cardiology and Cardiovascular Medicine 2k
- Nephrology 707
- Endocrine and Autonomic Systems 374
- Neurology 339
Countries citing papers authored by Hon‐Kan Yip
This map shows the geographic impact of Hon‐Kan Yip'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 Hon‐Kan Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hon‐Kan Yip more than expected).
Fields of papers citing papers by Hon‐Kan Yip
This network shows the impact of papers produced by Hon‐Kan Yip. 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 Hon‐Kan Yip. The network helps show where Hon‐Kan Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Hon‐Kan Yip, 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 426 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 289 | |
| 2 | 2011 | 270 | |
| 3 | 2002 | 257 | |
| 4 | 2016 | 211 | |
| 5 | 2016 | 205 | |
| 6 | 2007 | 192 | |
| 7 | 2010 | 191 | |
| 8 | 2015 | 143 | |
| 9 | 2014 | 137 | |
| 10 | 2012 | 131 | |
| 11 | 2011 | 118 | |
| 12 | 2012 | 105 | |
| 13 | 2019 | 103 | |
| 14 | 2003 | 101 | |
| 15 | 2013 | 100 | |
| 16 | 2003 | 92 | |
| 17 | 2011 | 87 | |
| 18 | Adipose-derived mesenchymal stem cell-derived exosomes alleviate overwhelming systemic inflammatory reaction and organ damage and improve outcome in rat sepsis syndrome. | 2018 | 86 |
| 19 | 2015 | 81 | |
| 20 | 2016 | 80 |
About Hon‐Kan Yip
Hon‐Kan Yip is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Nephrology, Surgery and Pulmonary and Respiratory Medicine, having authored 426 papers that have together received 11.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (87 papers), Acute Myocardial Infarction Research (53 papers), Coronary Interventions and Diagnostics (50 papers), Angiogenesis and VEGF in Cancer (37 papers), Cardiac Fibrosis and Remodeling (27 papers), Acute Kidney Injury Research (23 papers), Acute Ischemic Stroke Management (22 papers) and Chronic Kidney Disease and Diabetes (17 papers). The work is most often cited by research in Genetics (2.1k citations), Cardiology and Cardiovascular Medicine (2k citations), Nephrology (707 citations), Endocrine and Autonomic Systems (374 citations) and Neurology (339 citations). Hon‐Kan Yip has collaborated with scholars based in Taiwan, China and Egypt. Frequent co-authors include Cheuk‐Kwan Sun, Chiung‐Jen Wu, Hsueh‐Wen Chang, Pei‐Hsun Sung, Steve Leu, Li‐Teh Chang, Sarah O. Chua, Tzu‐Hsien Tsai, Jiunn‐Jye Sheu and Yung‐Lung Chen. Their work appears in journals such as Circulation Journal, CHEST Journal, International Journal of Cardiology, Journal of Translational Medicine and Oncotarget.
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.