Can Chen
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- MicroRNA in disease regulation
Papers in
- Immunology 14
- Immune Cell Function and Interaction 5
- Immune cells in cancer 5
- T-cell and B-cell Immunology 4
- Atherosclerosis and Cardiovascular Diseases 3
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- Circular RNAs in diseases 3
- Extracellular vesicles in disease 3
- Co-authors
- Hen‐Wai Tsao (2 shared papers)Jiann‐Jong Chen (2 shared papers)Yaoshu Teng (1 shared paper)Hanzhen Xiong (1 shared paper)Kun Wang (1 shared paper)Haining Gan (1 shared paper)Jinshan Zhang (1 shared paper)Nanqi Huang (1 shared paper)
- Journals
- Journal of Cardiovascular Pharmacology (2 papers)Electronics Letters (2 papers)Disease Markers (2 papers)Life Sciences (2 papers)Neuroradiology (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Can Chen
40 papers receiving 876 citations
Peers
Comparison fields: 5 of 115
- Immunology 274
- Cancer Research 146
- Oncology 253
- Molecular Biology 330
- Biological Psychiatry 10
Countries citing papers authored by Can Chen
This map shows the geographic impact of Can 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 Can Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Chen more than expected).
Fields of papers citing papers by Can Chen
This network shows the impact of papers produced by Can 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 Can Chen. The network helps show where Can Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 234 | |
| 2 | 1992 | 104 | |
| 3 | 2018 | 80 | |
| 4 | 2014 | 77 | |
| 5 | 2020 | 41 | |
| 6 | 2012 | 32 | |
| 7 | 2010 | 31 | |
| 8 | 2014 | 25 | |
| 9 | Circulating low IL-23: IL-35 cytokine ratio promotes progression associated with poor prognosisin breast cancer. | 2016 | 25 |
| 10 | 2022 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 1988 | 19 | |
| 13 | 2021 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2023 | 16 | |
| 16 | 1992 | 14 | |
| 17 | 2018 | 12 | |
| 18 | 2005 | 11 | |
| 19 | 2012 | 11 | |
| 20 | 2022 | 10 |
About Can Chen
Can Chen is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 908 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Immune cells in cancer (5 papers), T-cell and B-cell Immunology (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Immunology (274 citations), Cancer Research (146 citations), Oncology (253 citations), Molecular Biology (330 citations) and Biological Psychiatry (10 citations). Can Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Hen‐Wai Tsao, Jiann‐Jong Chen, Yaoshu Teng, Hanzhen Xiong, Kun Wang, Haining Gan, Jinshan Zhang, Nanqi Huang, Yan Sun and Guang‐Rong Yan. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Electronics Letters, Disease Markers, Life Sciences and Neuroradiology.
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.