Kunwu Yu
Impact in
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
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- Cardiac Fibrosis and Remodeling
Papers in
- Immunology 19
- Atherosclerosis and Cardiovascular Diseases 15
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 4
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- Signaling Pathways in Disease 7
- Co-authors
- Yucheng Zhong (18 shared papers)Qiutang Zeng (9 shared papers)Kai Meng (12 shared papers)Qiutang Zeng (10 shared papers)Bangwei Wu (10 shared papers)Qingwei Ji (8 shared papers)Yujie Zhou (4 shared papers)Ruirui Zhu (11 shared papers)
In The Last Decade
Kunwu Yu
30 papers receiving 807 citations
Peers
Comparison fields: 5 of 79
- Immunology 448
- Cardiology and Cardiovascular Medicine 212
- Dermatology 80
- Cancer Research 76
- Oncology 114
Countries citing papers authored by Kunwu Yu
This map shows the geographic impact of Kunwu Yu'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 Kunwu Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunwu Yu more than expected).
Fields of papers citing papers by Kunwu Yu
This network shows the impact of papers produced by Kunwu Yu. 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 Kunwu Yu. The network helps show where Kunwu Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunwu Yu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 100 | |
| 2 | 2014 | 92 | |
| 3 | 2015 | 58 | |
| 4 | 2017 | 50 | |
| 5 | 2016 | 46 | |
| 6 | 2015 | 43 | |
| 7 | 2016 | 43 | |
| 8 | 2016 | 42 | |
| 9 | 2019 | 38 | |
| 10 | 2015 | 37 | |
| 11 | 2017 | 31 | |
| 12 | 2013 | 30 | |
| 13 | 2015 | 27 | |
| 14 | 2022 | 21 | |
| 15 | 2014 | 20 | |
| 16 | 2014 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2017 | 16 | |
| 19 | 2012 | 16 | |
| 20 | 2020 | 14 |
About Kunwu Yu
Kunwu Yu is a scholar working on Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Pathology and Forensic Medicine, having authored 32 papers that have together received 818 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (15 papers), Cardiac Fibrosis and Remodeling (8 papers), Signaling Pathways in Disease (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Immunology (448 citations), Cardiology and Cardiovascular Medicine (212 citations), Dermatology (80 citations), Cancer Research (76 citations) and Oncology (114 citations). Kunwu Yu has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Yucheng Zhong, Qiutang Zeng, Kai Meng, Qiutang Zeng, Bangwei Wu, Qingwei Ji, Yujie Zhou, Ruirui Zhu, Yuzhen Wei and Zhengfeng Zhu. Their work appears in journals such as Cellular Physiology and Biochemistry, Frontiers in Immunology, Journal of the American Heart Association, International Immunopharmacology and Oxidative Medicine and Cellular Longevity.
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.