Jiangqing Chen

454 total citations · 1 hit paper
9 papers, 282 citations indexed

About

Jiangqing Chen is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Jiangqing Chen has authored 9 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Jiangqing Chen's work include CAR-T cell therapy research (8 papers), CRISPR and Genetic Engineering (3 papers) and Immune Cell Function and Interaction (3 papers). Jiangqing Chen is often cited by papers focused on CAR-T cell therapy research (8 papers), CRISPR and Genetic Engineering (3 papers) and Immune Cell Function and Interaction (3 papers). Jiangqing Chen collaborates with scholars based in China, United States and Switzerland. Jiangqing Chen's co-authors include Jie Sun, Yanting Duan, Massimo Andreatta, Yuqing Xie, Xiaofei Gao, Mathias Wenes, Min Gao, Santiago J. Carmona, Li Tang and Yang Zhao and has published in prestigious journals such as Nature Biotechnology, Cellular and Molecular Life Sciences and Advanced Science.

In The Last Decade

Jiangqing Chen

9 papers receiving 280 citations

Hit Papers

IL-10-expressing CAR T cells resist dysfunction and media... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiangqing Chen China 7 218 108 96 64 57 9 282
Christopher M. Bourne United States 10 150 0.7× 92 0.9× 121 1.3× 59 0.9× 44 0.8× 17 263
Olivia Sirpilla United States 5 161 0.7× 66 0.6× 72 0.8× 54 0.8× 42 0.7× 9 208
Youguo Long China 8 209 1.0× 125 1.2× 69 0.7× 46 0.7× 53 0.9× 10 243
Shizhen Qiu China 5 232 1.1× 95 0.9× 111 1.2× 85 1.3× 42 0.7× 7 308
Sara Silbert United States 5 224 1.0× 69 0.6× 78 0.8× 73 1.1× 44 0.8× 17 257
Jiang Lv China 6 162 0.7× 90 0.8× 63 0.7× 34 0.5× 37 0.6× 8 225
Nicola Mitwasi Germany 8 202 0.9× 87 0.8× 55 0.6× 91 1.4× 53 0.9× 15 225
Ruud Ruiter Netherlands 6 169 0.8× 71 0.7× 83 0.9× 63 1.0× 41 0.7× 8 223
Megan M. Dacek United States 8 147 0.7× 69 0.6× 66 0.7× 63 1.0× 43 0.8× 12 200
Dominik Lock Germany 9 236 1.1× 104 1.0× 119 1.2× 87 1.4× 77 1.4× 18 288

Countries citing papers authored by Jiangqing Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jiangqing Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangqing Chen. A scholar is included among the top collaborators of Jiangqing Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiangqing Chen. Jiangqing Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Duan, Yanting, Jiangqing Chen, Yajie Wang, et al.. (2025). Bispecific killer cell engager-secreting CAR-T cells redirect natural killer specificity to enhance antitumour responses. Nature Biomedical Engineering. 10(2). 390–403. 2 indexed citations
2.
Zhao, Yang, Jiangqing Chen, Massimo Andreatta, et al.. (2024). IL-10-expressing CAR T cells resist dysfunction and mediate durable clearance of solid tumors and metastases. Nature Biotechnology. 42(11). 1693–1704. 144 indexed citations breakdown →
3.
Jiang, Jie, Jiangqing Chen, Chan Liao, et al.. (2023). Inserting EF1α-driven CD7-specific CAR at CD7 locus reduces fratricide and enhances tumor rejection. Leukemia. 37(8). 1660–1670. 11 indexed citations
4.
Liao, Chan, Yajie Wang, Yanjie Huang, et al.. (2023). CD38‐Specific CAR Integrated into CD38 Locus Driven by Different Promoters Causes Distinct Antitumor Activities of T and NK Cells. Advanced Science. 10(27). e2207394–e2207394. 21 indexed citations
5.
Duan, Yanting, Jiangqing Chen, Xianhui Meng, et al.. (2022). Balancing activation and co-stimulation of CAR tunes signaling dynamics and enhances therapeutic potency. Molecular Therapy. 31(1). 35–47. 13 indexed citations
6.
Zhou, Jing, Jiangqing Chen, Yanjie Huang, et al.. (2022). Signaling Dynamics of TSHR-Specific CAR-T Cells Revealed by FRET-Based Biosensors. Frontiers in Cell and Developmental Biology. 10. 845319–845319. 5 indexed citations
7.
Duan, Yanting, Yanjie Huang, Xianhui Meng, et al.. (2021). Tuning the ignition of CAR: optimizing the affinity of scFv to improve CAR-T therapy. Cellular and Molecular Life Sciences. 79(1). 14–14. 50 indexed citations
8.
Jing, Ruirui, Peng Jiao, Jiangqing Chen, et al.. (2021). Cas9‐Cleavage Sequences in Size‐Reduced Plasmids Enhance Nonviral Genome Targeting of CARs in Primary Human T Cells. Small Methods. 5(7). e2100071–e2100071. 22 indexed citations
9.
Liu, Ning, Zhaolai Dai, Yunchang Zhang, et al.. (2019). Maternal l-proline supplementation during gestation alters amino acid and polyamine metabolism in the first generation female offspring of C57BL/6J mice. Amino Acids. 51(5). 805–811. 14 indexed citations

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.

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