Kunwu Yu
Impact in
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- Cardiac Fibrosis and Remodeling
Papers in
- Immunology 15
- Atherosclerosis and Cardiovascular Diseases 11
- T-cell and B-cell Immunology 3
- Galectins and Cancer Biology 2
- IL-33, ST2, and ILC Pathways 2
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- Cardiac Fibrosis and Remodeling 7
- Co-authors
- Yucheng Zhong (18 shared papers)Kai Meng (12 shared papers)Qiutang Zeng (9 shared papers)Bangwei Wu (10 shared papers)Qingwei Ji (8 shared papers)Yujie Zhou (4 shared papers)Ruirui Zhu (11 shared papers)Qiutang Zeng (8 shared papers)
In The Last Decade
Kunwu Yu
31 papers receiving 830 citations
Peers
Comparison fields: 5 of 79
- Immunology 372
- Cardiology and Cardiovascular Medicine 187
- Dermatology 76
- Cancer Research 70
- Oncology 88
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 101 | |
| 2 | 2014 | 92 | |
| 3 | 2015 | 60 | |
| 4 | 2017 | 51 | |
| 5 | 2016 | 46 | |
| 6 | 2016 | 44 | |
| 7 | 2015 | 43 | |
| 8 | 2016 | 42 | |
| 9 | 2015 | 39 | |
| 10 | 2019 | 38 | |
| 11 | 2017 | 32 | |
| 12 | 2013 | 30 | |
| 13 | 2015 | 28 | |
| 14 | 2022 | 24 | |
| 15 | 2014 | 20 | |
| 16 | 2014 | 18 | |
| 17 | 2017 | 17 | |
| 18 | 2014 | 17 | |
| 19 | 2012 | 16 | |
| 20 | 2015 | 15 |
About Kunwu Yu
Kunwu Yu is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology and Surgery, having authored 33 papers that have together received 840 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (11 papers), Cardiac Fibrosis and Remodeling (7 papers), Signaling Pathways in Disease (4 papers), T-cell and B-cell Immunology (3 papers), Ferroptosis and cancer prognosis (2 papers), Galectins and Cancer Biology (2 papers), Dermatology and Skin Diseases (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (372 citations), Cardiology and Cardiovascular Medicine (187 citations), Dermatology (76 citations), Cancer Research (70 citations) and Oncology (88 citations). Kunwu Yu has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Yucheng Zhong, Kai Meng, Qiutang Zeng, Bangwei Wu, Qingwei Ji, Yujie Zhou, Ruirui Zhu, Qiutang Zeng, Yuzhen Wei and Zhengfeng Zhu. Their work appears in journals such as Cellular Physiology and Biochemistry, Oxidative Medicine and Cellular Longevity, International Immunopharmacology, Journal of the American Heart Association and Frontiers in Immunology.
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.