Licui Jiang
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- CAR-T cell therapy research
Papers in
- Oncology 7
- CAR-T cell therapy research 7
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- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
- Galectins and Cancer Biology 1
- Phagocytosis and Immune Regulation 1
- Co-authors
- Gangli An (7 shared papers)Lin Yang (8 shared papers)Fengtao You (6 shared papers)Huimin Meng (7 shared papers)Dan Chen (3 shared papers)Xuejun Zhu (2 shared papers)Lei Yuan (1 shared paper)Yinyan Wang (1 shared paper)
- Journals
- Cancer Research (2 papers)American Journal of Cancer Research (1 paper)Heliyon (1 paper)Oncotarget (1 paper)Transplant Immunology (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Licui Jiang
8 papers receiving 220 citations
Peers
Comparison fields: 5 of 22
- Immunology 149
- Oncology 182
- Hematology 15
- Radiology, Nuclear Medicine and Imaging 26
- Genetics 31
Countries citing papers authored by Licui Jiang
This map shows the geographic impact of Licui Jiang'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 Licui Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Licui Jiang more than expected).
Fields of papers citing papers by Licui Jiang
This network shows the impact of papers produced by Licui Jiang. 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 Licui Jiang. The network helps show where Licui Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Licui Jiang, 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 | A novel CD7 chimeric antigen receptor-modified NK-92MI cell line targeting T-cell acute lymphoblastic leukemia. | 2019 | 117 |
| 2 | 2017 | 38 | |
| 3 | MUC1-Tn-targeting chimeric antigen receptor-modified Vγ9Vδ2 T cells with enhanced antigen-specific anti-tumor activity. | 2021 | 25 |
| 4 | 2022 | 14 | |
| 5 | 2024 | 11 | |
| 6 | Chimeric antigen receptor T cells derived from CD7 nanobody exhibit robust antitumor potential against CD7-positive malignancies. | 2021 | 10 |
| 7 | 2023 | 5 | |
| 8 | 2024 | 2 |
About Licui Jiang
Licui Jiang is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Genetics, having authored 8 papers that have together received 222 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (2 papers), Nanowire Synthesis and Applications (1 paper), Galectins and Cancer Biology (1 paper), Phagocytosis and Immune Regulation (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (149 citations), Oncology (182 citations), Hematology (15 citations), Radiology, Nuclear Medicine and Imaging (26 citations) and Genetics (31 citations). Licui Jiang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Gangli An, Lin Yang, Fengtao You, Huimin Meng, Dan Chen, Xuejun Zhu, Lei Yuan, Yinyan Wang, Bozhen Zhang and Jialu Li. Their work appears in journals such as Cancer Research, American Journal of Cancer Research, Heliyon, Oncotarget and Transplant Immunology.
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.