Jiangqing Chen
Impact in
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 8
- CAR-T cell therapy research 8
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- CRISPR and Genetic Engineering 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Jie Sun (8 shared papers)Yanjie Huang (6 shared papers)Massimo Andreatta (1 shared paper)Xiaomeng Hu (1 shared paper)Bing Feng (1 shared paper)Li Tang (1 shared paper)Santiago J. Carmona (1 shared paper)Yang Zhao (1 shared paper)
- Journals
- Nature Biomedical Engineering (1 paper)Molecular Therapy (1 paper)Small Methods (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Amino Acids (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jiangqing Chen
9 papers receiving 280 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Oncology 218
- Immunology 108
- Genetics 57
- Biomedical Engineering 64
- Molecular Biology 96
Countries citing papers authored by Jiangqing Chen
This map shows the geographic impact of Jiangqing 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 Jiangqing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangqing Chen more than expected).
Fields of papers citing papers by Jiangqing Chen
This network shows the impact of papers produced by Jiangqing 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 Jiangqing Chen. The network helps show where Jiangqing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangqing 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 | IL-10-expressing CAR T cells resist dysfunction and mediate durable clearance of solid tumors and metastases Hit paper breakdown → | 2024 | 144 |
| 2 | 2021 | 50 | |
| 3 | 2021 | 22 | |
| 4 | 2023 | 21 | |
| 5 | 2019 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 5 | |
| 9 | 2025 | 2 |
About Jiangqing Chen
Jiangqing Chen is a scholar working on Oncology, Molecular Biology, Immunology, Electrical and Electronic Engineering and Biomedical Engineering, having authored 9 papers that have together received 282 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), CRISPR and Genetic Engineering (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Nanowire Synthesis and Applications (2 papers), Birth, Development, and Health (1 paper) and Radio Frequency Integrated Circuit Design (1 paper). The work is most often cited by research in Oncology (218 citations), Immunology (108 citations), Genetics (57 citations), Biomedical Engineering (64 citations) and Molecular Biology (96 citations). Jiangqing Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jie Sun, Yanjie Huang, Massimo Andreatta, Xiaomeng Hu, Bing Feng, Li Tang, Santiago J. Carmona, Yang Zhao, Yugang Guo and Yi Wang. Their work appears in journals such as Nature Biomedical Engineering, Molecular Therapy, Small Methods, Frontiers in Cell and Developmental Biology and Amino Acids.
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.