Kun Ren
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
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- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- Inflammasome and immune disorders 8
- Sphingolipid Metabolism and Signaling 6
- Surgery 19
- Cholesterol and Lipid Metabolism 14
- Co-authors
- Guo-Jun Zhao (5 shared papers)Guang‐Hui Yi (8 shared papers)Ting Jiang (3 shared papers)Yin Liang (5 shared papers)Xiaodan Xu (11 shared papers)Zhongcheng Mo (6 shared papers)Qinghai Zhang (4 shared papers)Wenyi Deng (3 shared papers)
- Journals
- Advanced Energy Materials (3 papers)Aging (3 papers)International Journal of Cardiology (2 papers)International Journal of Biological Macromolecules (2 papers)ACS Energy Letters (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Kun Ren
62 papers receiving 1.5k citations
Kun Ren's Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 328
- Molecular Biology 571
- Immunology 164
- Biochemistry 46
- Cell Biology 104
Countries citing papers authored by Kun Ren
This map shows the geographic impact of Kun Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ren more than expected).
Fields of papers citing papers by Kun Ren
This network shows the impact of papers produced by Kun Ren. 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 Ren. The network helps show where Kun Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ren, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 112 | |
| 2 | 2015 | 87 | |
| 3 | 2020 | 86 | |
| 4 | 2018 | 77 | |
| 5 | The mechanisms of ferroptosis and its role in atherosclerosis Hit paper breakdown → | 2024 | 75 |
| 6 | 2019 | 66 | |
| 7 | 2017 | 64 | |
| 8 | 2016 | 61 | |
| 9 | 2017 | 57 | |
| 10 | 2024 | 56 | |
| 11 | 2018 | 56 | |
| 12 | 2020 | 49 | |
| 13 | 2014 | 45 | |
| 14 | 2021 | 43 | |
| 15 | 2017 | 42 | |
| 16 | 2018 | 40 | |
| 17 | 2015 | 40 | |
| 18 | 2017 | 37 | |
| 19 | 2024 | 34 | |
| 20 | 2017 | 33 |
About Kun Ren
Kun Ren is a scholar working on Molecular Biology, Surgery, Electrical and Electronic Engineering, Cancer Research and Oncology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (14 papers), Advanced Battery Materials and Technologies (12 papers), Advancements in Battery Materials (11 papers), Inflammasome and immune disorders (8 papers), Cancer-related molecular mechanisms research (7 papers), Sphingolipid Metabolism and Signaling (6 papers), Thermal Expansion and Ionic Conductivity (5 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (328 citations), Molecular Biology (571 citations), Immunology (164 citations), Biochemistry (46 citations) and Cell Biology (104 citations). Kun Ren has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Guo-Jun Zhao, Guang‐Hui Yi, Ting Jiang, Yin Liang, Xiaodan Xu, Zhongcheng Mo, Qinghai Zhang, Wenyi Deng, Xiao Zhu and Zhi Zheng. Their work appears in journals such as Advanced Energy Materials, Aging, International Journal of Cardiology, International Journal of Biological Macromolecules and ACS Energy Letters.
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.