Kan Chen
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Epidemiology 45
- Liver Disease Diagnosis and Treatment 23
- Autophagy in Disease and Therapy 11
- Co-authors
- Chuanyong Guo (61 shared papers)Jingjing Li (53 shared papers)Weiqi Dai (43 shared papers)Sainan Li (39 shared papers)Yujing Xia (39 shared papers)Jie Lu (38 shared papers)Jiao Feng (30 shared papers)Yingqun Zhou (34 shared papers)
- Journals
- Marine Drugs (9 papers)Blood (6 papers)Drug Design Development and Therapy (6 papers)Oncotarget (5 papers)PLoS ONE (5 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Kan Chen
172 papers receiving 5.5k citations
Peers
Comparison fields: 5 of 158
- Hepatology 742
- Cancer Research 891
- Aging 95
- Pharmacology 433
- Epidemiology 1.3k
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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 214 | |
| 2 | 2020 | 169 | |
| 3 | 2012 | 160 | |
| 4 | 2008 | 155 | |
| 5 | 2019 | 145 | |
| 6 | 2019 | 134 | |
| 7 | 2017 | 132 | |
| 8 | 2015 | 116 | |
| 9 | 2020 | 116 | |
| 10 | 2015 | 107 | |
| 11 | 2011 | 105 | |
| 12 | 2014 | 101 | |
| 13 | 2016 | 97 | |
| 14 | 2014 | 92 | |
| 15 | 2017 | 87 | |
| 16 | 2011 | 86 | |
| 17 | 2016 | 81 | |
| 18 | 2019 | 80 | |
| 19 | 2013 | 79 | |
| 20 | 2013 | 76 |
About Kan Chen
Kan Chen is a scholar working on Molecular Biology, Epidemiology, Oncology, Cancer Research and Hepatology, having authored 180 papers that have together received 5.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (23 papers), Virus-based gene therapy research (12 papers), Autophagy in Disease and Therapy (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Liver Disease and Transplantation (10 papers), Cancer Research and Treatments (8 papers), MicroRNA in disease regulation (7 papers) and Liver physiology and pathology (7 papers). The work is most often cited by research in Hepatology (742 citations), Cancer Research (891 citations), Aging (95 citations), Pharmacology (433 citations) and Epidemiology (1.3k citations). Kan Chen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Chuanyong Guo, Jingjing Li, Weiqi Dai, Sainan Li, Yujing Xia, Jie Lu, Jiao Feng, Yingqun Zhou, Liwei Wu and Ling Xu. Their work appears in journals such as Marine Drugs, Blood, Drug Design Development and Therapy, Oncotarget and PLoS ONE.
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.