Kun Chen
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
- Immune Response and Inflammation
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in ⓘ
- Immunology 42
- Immune Cell Function and Interaction 9
- Immune cells in cancer 9
- Psoriasis: Treatment and Pathogenesis 8
- Immunotherapy and Immune Responses 7
- Immune Response and Inflammation 7
- T-cell and B-cell Immunology 5
- interferon and immune responses 5
- Co-authors
- Swati Choksi (1 shared paper)Yan Zhang (1 shared paper)Ilona Linnoila (1 shared paper)Zheng-gang Liu (1 shared paper)Elena L. Pobezinskaya (1 shared paper)Chunfeng Qu (11 shared papers)Xuetao Cao (4 shared papers)Juan Liu (3 shared papers)
- Journals
- Aquatic Toxicology (3 papers)Scientific Reports (2 papers)Cancer Letters (2 papers)Oncotarget (2 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Kun Chen
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Immunology 635
- Neurology 92
- Biological Psychiatry 27
- Dermatology 70
- Cancer Research 112
Countries citing papers authored by Kun Chen
This map shows the geographic impact of Kun 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 Kun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chen more than expected).
Fields of papers citing papers by Kun Chen
This network shows the impact of papers produced by Kun 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 Kun Chen. The network helps show where Kun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 447 | |
| 2 | 2014 | 123 | |
| 3 | 2014 | 118 | |
| 4 | 2017 | 45 | |
| 5 | 2018 | 43 | |
| 6 | 2022 | 40 | |
| 7 | 2019 | 34 | |
| 8 | 2022 | 34 | |
| 9 | 2020 | 26 | |
| 10 | 2018 | 26 | |
| 11 | 2015 | 22 | |
| 12 | 2016 | 22 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2015 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2023 | 15 | |
| 18 | Immunization with glypican-3 nanovaccine containing TLR7 agonist prevents the development of carcinogen-induced precancerous hepatic lesions to cancer in a murine model. | 2018 | 14 |
| 19 | 2023 | 13 | |
| 20 | 2023 | 11 |
About Kun Chen
Kun Chen is a scholar working on Immunology, Molecular Biology, Oncology, Epidemiology and Neurology, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immune cells in cancer (9 papers), Psoriasis: Treatment and Pathogenesis (8 papers), Immunotherapy and Immune Responses (7 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (5 papers), interferon and immune responses (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Immunology (635 citations), Neurology (92 citations), Biological Psychiatry (27 citations), Dermatology (70 citations) and Cancer Research (112 citations). Kun Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Swati Choksi, Yan Zhang, Ilona Linnoila, Zheng-gang Liu, Elena L. Pobezinskaya, Chunfeng Qu, Xuetao Cao, Juan Liu, Dongmei Wang and Zhiyuan Wu. Their work appears in journals such as Aquatic Toxicology, Scientific Reports, Cancer Letters, Oncotarget and BMC 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.