Kan Chen
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Liver physiology and pathology
Papers in
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- Protein Tyrosine Phosphatases 4
- Sphingolipid Metabolism and Signaling 3
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- Zebrafish Biomedical Research Applications 3
- Co-authors
- Changqian Wang (7 shared papers)Zhihua Han (6 shared papers)Lin Gao (5 shared papers)Jiatian Cao (4 shared papers)Yue Wang (4 shared papers)Siying Wang (5 shared papers)Fan Yang (4 shared papers)Yuqi Fan (5 shared papers)
- Journals
- Drug Design Development and Therapy (2 papers)Cancer Cell International (2 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)Atherosclerosis (1 paper)Gastroenterology (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Kan Chen
33 papers receiving 667 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 119
- Hepatology 48
- Immunology 119
- Molecular Biology 340
- Biochemistry 33
Countries citing papers authored by Kan Chen
This map shows the geographic impact of Kan 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 Kan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Chen more than expected).
Fields of papers citing papers by Kan Chen
This network shows the impact of papers produced by Kan 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 Kan Chen. The network helps show where Kan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2016 | 61 | |
| 3 | 2017 | 38 | |
| 4 | 2015 | 37 | |
| 5 | 2015 | 35 | |
| 6 | 2022 | 34 | |
| 7 | 2024 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2009 | 30 | |
| 10 | 2019 | 26 | |
| 11 | 2013 | 24 | |
| 12 | 2013 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2014 | 21 | |
| 15 | 2018 | 20 | |
| 16 | Resveratrol inhibits dysfunction of dendritic cells from chronic obstructive pulmonary disease patients through promoting miR-34. | 2015 | 18 |
| 17 | 2019 | 15 | |
| 18 | 2024 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2021 | 11 |
About Kan Chen
Kan Chen is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Cancer Research and Oncology, having authored 34 papers that have together received 673 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (4 papers), Protein Tyrosine Phosphatases (4 papers), Sulfur Compounds in Biology (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Zebrafish Biomedical Research Applications (3 papers), MicroRNA in disease regulation (3 papers), Folate and B Vitamins Research (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Cancer Research (119 citations), Hepatology (48 citations), Immunology (119 citations), Molecular Biology (340 citations) and Biochemistry (33 citations). Kan Chen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Changqian Wang, Zhihua Han, Lin Gao, Jiatian Cao, Yue Wang, Siying Wang, Fan Yang, Yuqi Fan, Yuqi Fan and Ying Gao. Their work appears in journals such as Drug Design Development and Therapy, Cancer Cell International, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Atherosclerosis and Gastroenterology.
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.