Hon‐Kan Yip

13.4k citations
419 papers · 10.6k · h-index 51

Impact in

Papers in

Hon‐Kan Yip

412 papers receiving 10.4k citations

Peers

Hon‐Kan Yip
Comparison fields: 5 of 134
  • Genetics 1.3k
  • Cardiology and Cardiovascular Medicine 2.0k
  • Surgery 2.4k
  • Nephrology 401
  • Endocrine and Autonomic Systems 359
Replace Patrice Delafontaine with:
Patrice Delafontaine United States
Tsutomu Imaizumi Japan
Uichi Ikeda Japan
Kensuke Egashira Japan
Daniel R. Meldrum United States
Duncan J. Stewart Canada
Sumanth D. Prabhu United States
Satoshi Ogawa Japan
Hung‐Fat Tse Hong Kong
Toshiyuki Takahashi Japan
Hon‐Kan Yip relative to Patrice Delafontaine United States Patrice Delafontaine's profile →
Citations per field
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Patrice Delafontaine · 1×
Citations per year

Countries citing papers authored by Hon‐Kan Yip

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hon‐Kan Yip Line = papers co-authored together Hon‐Kan Yip links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 419 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011261
2 2010244
3 2002236
4 2016206
5 2016196
6 2007183
7 2010177
8 2015138
9 2014136
10 2012125
11 2011116
12 2019100
13 201398
14 200397
15 201295
16 200392
17
Adipose-derived mesenchymal stem cell-derived exosomes alleviate overwhelming systemic inflammatory reaction and organ damage and improve outcome in rat sepsis syndrome.
201884
18 201182
19 201578
20 201677

About Hon‐Kan Yip

Hon‐Kan Yip is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 419 papers that have together received 10.6k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (44 papers), Acute Myocardial Infarction Research (43 papers), Mesenchymal stem cell research (30 papers), Angiogenesis and VEGF in Cancer (27 papers), Cardiac Imaging and Diagnostics (22 papers), Vascular Procedures and Complications (21 papers), Cardiac Ischemia and Reperfusion (17 papers) and Cardiac Fibrosis and Remodeling (15 papers). The work is most often cited by research in Genetics (1.3k citations), Cardiology and Cardiovascular Medicine (2.0k citations), Surgery (2.4k citations), Nephrology (401 citations) and Endocrine and Autonomic Systems (359 citations). Hon‐Kan Yip has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Cheuk‐Kwan Sun, Chiung‐Jen Wu, Hsueh‐Wen Chang, Pei‐Hsun Sung, Steve Leu, Li‐Teh Chang, Sarah Chua, Jiunn‐Jye Sheu, Yung‐Lung Chen and Fan-Yen Lee. 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.

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