Jin Zhu
- Oncology top 2%
- HER2/EGFR in Cancer Research 9
- Immunology top 5%
- Immune Cell Function and Interaction 8
- Immune Response and Inflammation 8
- Cancer Research top 5%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 12
- Viral Infectious Diseases and Gene Expression in Insects 7
- Hepatology top 5%
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- Monoclonal and Polyclonal Antibodies Research 15
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- Viral Infections and Vectors 7
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- Gastric Cancer Management and Outcomes 7
- Co-authors
- Qi TangYuan MaoZhenqing FengXiaojun TangShou‐Nian DingJianfei HuangDawei ZhangChangjun Wang
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jin Zhu
127 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 126
- Oncology 1.0k
- Immunology 532
- Cancer Research 341
- Molecular Biology 1.3k
- Hepatology 137
Countries citing papers authored by Jin Zhu
This map shows the geographic impact of Jin Zhu'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 Jin Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zhu more than expected).
Fields of papers citing papers by Jin Zhu
This network shows the impact of papers produced by Jin Zhu. 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 Jin Zhu. The network helps show where Jin Zhu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Zhu, 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 | 2024 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2020 | 11 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 7 | |
| 7 | 2017 | 17 | |
| 8 | 2016 | 4 | |
| 9 | 2016 | 22 | |
| 10 | KRT6 interacting with notch1 contributes to progression of renal cell carcinoma, and aliskiren inhibits renal carcinoma cell lines proliferation in vitro. | 2015 | 20 |
| 11 | 2015 | 21 | |
| 12 | 2015 | 8 | |
| 13 | 2015 | 135 | |
| 14 | 2013 | 25 | |
| 15 | 2013 | 6 | |
| 16 | 2012 | 38 | |
| 17 | 2011 | 17 | |
| 18 | 2010 | 42 | |
| 19 | 2010 | 16 | |
| 20 | 2010 | 14 |
About Jin Zhu
Jin Zhu is a scholar working on Oncology, Immunology and Virology, having authored 132 papers that have together received 2.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (12 papers), HER2/EGFR in Cancer Research (9 papers), Immune Cell Function and Interaction (8 papers), Immune Response and Inflammation (8 papers), Viral Infections and Vectors (7 papers), Gastric Cancer Management and Outcomes (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (532 citations) and Cancer Research (341 citations). Jin Zhu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Qi Tang, Yuan Mao, Zhenqing Feng, Xiaojun Tang, Shou‐Nian Ding, Jianfei Huang, Dawei Zhang, Changjun Wang, Wei Zhao and Lin Xiong. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.