Zhen Jin
Impact in
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- CAR-T cell therapy research
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- RNA modifications and cancer 2
- Cancer-related gene regulation 2
- Single-cell and spatial transcriptomics 1
- Bioactive Natural Diterpenoids Research 1
- Oncology 9
- CAR-T cell therapy research 7
- Co-authors
- Junmin Li (10 shared papers)Yingxiao Wang (3 shared papers)Yiqian Wu (1 shared paper)Robert H. Bussell (1 shared paper)Yahan Liu (1 shared paper)Shu Chien (1 shared paper)Jiayi Li (1 shared paper)M. M. Allen (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Molecular Carcinogenesis (1 paper)Blood (1 paper)International Journal of Biological Macromolecules (1 paper)Future Oncology (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Zhen Jin
17 papers receiving 338 citations
Peers
Comparison fields: 5 of 52
- Oncology 177
- Immunology 65
- Biomedical Engineering 134
- Hematology 24
- Genetics 59
Countries citing papers authored by Zhen Jin
This map shows the geographic impact of Zhen Jin'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 Zhen Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Jin more than expected).
Fields of papers citing papers by Zhen Jin
This network shows the impact of papers produced by Zhen Jin. 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 Zhen Jin. The network helps show where Zhen Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen Jin, 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 | 2021 | 161 | |
| 2 | 2018 | 42 | |
| 3 | 2018 | 39 | |
| 4 | 2015 | 24 | |
| 5 | 2016 | 17 | |
| 6 | 2021 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 7 | |
| 9 | 2009 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2014 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Zhen Jin
Zhen Jin is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Pathology and Forensic Medicine, having authored 19 papers that have together received 342 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Acute Myeloid Leukemia Research (5 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (4 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers), Single-cell and spatial transcriptomics (1 paper) and Bioactive Natural Diterpenoids Research (1 paper). The work is most often cited by research in Oncology (177 citations), Immunology (65 citations), Biomedical Engineering (134 citations), Hematology (24 citations) and Genetics (59 citations). Zhen Jin has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Junmin Li, Yingxiao Wang, Yiqian Wu, Robert H. Bussell, Yahan Liu, Shu Chien, Jiayi Li, M. M. Allen, Xin Wang and Yijia Pan. Their work appears in journals such as Frontiers in Immunology, Molecular Carcinogenesis, Blood, International Journal of Biological Macromolecules and Future Oncology.
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.