Kangchen Chen
Impact in
-
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
Papers in
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- MicroRNA in disease regulation 5
- Cancer, Hypoxia, and Metabolism 4
- Oncology 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Yu Yu (1 shared paper)Xiao Xu (9 shared papers)Chenzhi Zhang (5 shared papers)Sunbin Ling (3 shared papers)Rongli Wei (4 shared papers)Shusen Zheng (9 shared papers)Jianguo Wang (1 shared paper)Haiyang Xie (6 shared papers)
- Journals
- Cell Death and Disease (3 papers)Signal Transduction and Targeted Therapy (2 papers)American Journal of Transplantation (2 papers)Free Radical Biology and Medicine (1 paper)Journal of Cancer (1 paper)
- Partner nations
- ChinaMadagascarUnited States
In The Last Decade
Kangchen Chen
17 papers receiving 637 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 165
- Hepatology 54
- Transplantation 18
- Oncology 113
- Molecular Biology 278
Countries citing papers authored by Kangchen Chen
This map shows the geographic impact of Kangchen Chen'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 Kangchen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kangchen Chen more than expected).
Fields of papers citing papers by Kangchen Chen
This network shows the impact of papers produced by Kangchen Chen. 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 Kangchen Chen. The network helps show where Kangchen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kangchen Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2021 | 93 | |
| 3 | 2019 | 91 | |
| 4 | 2017 | 53 | |
| 5 | 2023 | 40 | |
| 6 | 2024 | 38 | |
| 7 | 2019 | 33 | |
| 8 | 2023 | 29 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 2 |
About Kangchen Chen
Kangchen Chen is a scholar working on Cancer Research, Oncology, Hepatology, Molecular Biology and Transplantation, having authored 17 papers that have together received 642 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related Molecular Pathways (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Ubiquitin and proteasome pathways (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Circular RNAs in diseases (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (165 citations), Hepatology (54 citations), Transplantation (18 citations), Oncology (113 citations) and Molecular Biology (278 citations). Kangchen Chen has collaborated with scholars based in China, Madagascar and United States. Frequent co-authors include Yu Yu, Xiao Xu, Chenzhi Zhang, Sunbin Ling, Rongli Wei, Shusen Zheng, Jianguo Wang, Haiyang Xie, Xuanyu Zhang and Zhikun Liu. Their work appears in journals such as Cell Death and Disease, Signal Transduction and Targeted Therapy, American Journal of Transplantation, Free Radical Biology and Medicine and Journal of Cancer.
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.