Chun‐Min Kang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Inflammasome and immune disorders
- RNA Research and Splicing
Papers in
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- RNA Research and Splicing 7
- Circular RNAs in diseases 5
- RNA modifications and cancer 5
- Inflammasome and immune disorders 4
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- Cancer-related molecular mechanisms research 12
- Co-authors
- Yan‐Wei Hu (18 shared papers)Lei Zheng (16 shared papers)Yu‐Rong Qiu (11 shared papers)Haixia Li (5 shared papers)Jingjing Zhao (9 shared papers)Qian Wang (11 shared papers)Huan‐Lan Bai (8 shared papers)Jingbo Lu (8 shared papers)
- Journals
- DNA and Cell Biology (3 papers)Archives of Biochemistry and Biophysics (2 papers)Atherosclerosis (2 papers)Materials Horizons (1 paper)Immunology and Cell Biology (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Chun‐Min Kang
37 papers receiving 973 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 426
- Molecular Biology 592
- Immunology 143
- Transplantation 8
- Biochemistry 23
Countries citing papers authored by Chun‐Min Kang
This map shows the geographic impact of Chun‐Min Kang'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 Chun‐Min Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Min Kang more than expected).
Fields of papers citing papers by Chun‐Min Kang
This network shows the impact of papers produced by Chun‐Min Kang. 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 Chun‐Min Kang. The network helps show where Chun‐Min Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Min Kang, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 142 | |
| 2 | 2018 | 82 | |
| 3 | 2017 | 81 | |
| 4 | 2019 | 77 | |
| 5 | 2018 | 61 | |
| 6 | 2016 | 58 | |
| 7 | 2015 | 58 | |
| 8 | 2018 | 55 | |
| 9 | 2019 | 30 | |
| 10 | 2016 | 27 | |
| 11 | 2017 | 27 | |
| 12 | 2020 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2017 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2020 | 12 |
About Chun‐Min Kang
Chun‐Min Kang is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Pharmacology, having authored 38 papers that have together received 976 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), RNA Research and Splicing (7 papers), Circular RNAs in diseases (5 papers), RNA modifications and cancer (5 papers), Inflammasome and immune disorders (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (426 citations), Molecular Biology (592 citations), Immunology (143 citations), Transplantation (8 citations) and Biochemistry (23 citations). Chun‐Min Kang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yan‐Wei Hu, Lei Zheng, Yu‐Rong Qiu, Haixia Li, Jingjing Zhao, Qian Wang, Huan‐Lan Bai, Jingbo Lu, Zhifeng Lu and Fengxia Guo. Their work appears in journals such as DNA and Cell Biology, Archives of Biochemistry and Biophysics, Atherosclerosis, Materials Horizons and Immunology and Cell Biology.
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.