Zhenyi Jin
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
- Immunology 22
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 5
- Oncology 11
- CAR-T cell therapy research 8
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Xiuli Wu (19 shared papers)Yangqiu Li (21 shared papers)A. Jefferson Offutt (2 shared papers)Shaohua Chen (14 shared papers)Jing Lai (11 shared papers)Ling Xu (12 shared papers)Dan Qiu (4 shared papers)Yun Zhao (3 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Blood (4 papers)BioMed Research International (3 papers)Frontiers in Oncology (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesMontenegro
In The Last Decade
Zhenyi Jin
34 papers receiving 403 citations
Peers
Comparison fields: 5 of 60
- Immunology 216
- Software 38
- Hematology 69
- Oncology 140
- Physiology 10
Countries citing papers authored by Zhenyi Jin
This map shows the geographic impact of Zhenyi 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 Zhenyi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyi Jin more than expected).
Fields of papers citing papers by Zhenyi Jin
This network shows the impact of papers produced by Zhenyi 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 Zhenyi Jin. The network helps show where Zhenyi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenyi 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 37 | |
| 2 | 2021 | 33 | |
| 3 | 2023 | 32 | |
| 4 | 2020 | 30 | |
| 5 | 1998 | 25 | |
| 6 | 2024 | 24 | |
| 7 | 2016 | 23 | |
| 8 | 2018 | 23 | |
| 9 | 2022 | 20 | |
| 10 | 2018 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2015 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2002 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2022 | 9 | |
| 18 | Electrophysiological effects of Chinese medicine Shen song Yang xin (SSYX) on Chinese miniature swine heart and isolated guinea pig ventricular myocytes. | 2009 | 8 |
| 19 | 2021 | 8 | |
| 20 | 2024 | 8 |
About Zhenyi Jin
Zhenyi Jin is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Genetics, having authored 36 papers that have together received 406 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (10 papers), CAR-T cell therapy research (8 papers), Immunotherapy and Immune Responses (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Immunology (216 citations), Software (38 citations), Hematology (69 citations), Oncology (140 citations) and Physiology (10 citations). Zhenyi Jin has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Xiuli Wu, Yangqiu Li, A. Jefferson Offutt, Shaohua Chen, Jing Lai, Ling Xu, Dan Qiu, Yun Zhao, Xuan Jiang and Xianfeng Zha. Their work appears in journals such as Frontiers in Immunology, Blood, BioMed Research International, Frontiers in Oncology and Journal of Translational Medicine.
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.