Kun Yu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in
-
- Circular RNAs in diseases 3
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Co-authors
- Christian Schönbach (2 shared papers)Vladimir Brusić (2 shared papers)Nikolai Petrovsky (1 shared paper)Judice L.Y. Koh (1 shared paper)Yi Ren (5 shared papers)Xiwen Zhang (6 shared papers)Linlin Zhen (4 shared papers)Xuedong Han (3 shared papers)
In The Last Decade
Kun Yu
34 papers receiving 837 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 145
- Aquatic Science 75
- Complementary and alternative medicine 74
- Immunology 148
- Molecular Biology 415
Countries citing papers authored by Kun Yu
This map shows the geographic impact of Kun 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 Kun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yu more than expected).
Fields of papers citing papers by Kun Yu
This network shows the impact of papers produced by Kun 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 Kun Yu. The network helps show where Kun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 116 | |
| 2 | 2017 | 114 | |
| 3 | 2014 | 74 | |
| 4 | 2018 | 72 | |
| 5 | 2019 | 57 | |
| 6 | 2014 | 50 | |
| 7 | 2019 | 46 | |
| 8 | 2019 | 43 | |
| 9 | 2016 | 36 | |
| 10 | 2017 | 34 | |
| 11 | 2014 | 27 | |
| 12 | 2014 | 21 | |
| 13 | 2017 | 20 | |
| 14 | 2002 | 19 | |
| 15 | 2019 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2022 | 14 | |
| 18 | 2014 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2022 | 8 |
About Kun Yu
Kun Yu is a scholar working on Molecular Biology, Cancer Research, Immunology, Ecology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 848 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Neurobiology and Insect Physiology Research (4 papers), Crustacean biology and ecology (4 papers), Aquaculture Nutrition and Growth (3 papers), Autophagy in Disease and Therapy (3 papers), Circular RNAs in diseases (3 papers) and Acupuncture Treatment Research Studies (2 papers). The work is most often cited by research in Cancer Research (145 citations), Aquatic Science (75 citations), Complementary and alternative medicine (74 citations), Immunology (148 citations) and Molecular Biology (415 citations). Kun Yu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Christian Schönbach, Vladimir Brusić, Nikolai Petrovsky, Judice L.Y. Koh, Yi Ren, Xiwen Zhang, Linlin Zhen, Xuedong Han, Shenjun Wang and Nan‐Nan Yu. Their work appears in journals such as Archivum Immunologiae et Therapiae Experimentalis, Theranostics, Aging and Disease, Immunology and Cell Biology and Ecotoxicology and Environmental Safety.
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.