Jin Zhou
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Cells and Metastasis
- Behavioral Neuroscience top 10%
Papers in
- Oncology 26
- CAR-T cell therapy research 10
- Drug Transport and Resistance Mechanisms 5
- Cancer Cells and Metastasis 4
- Co-authors
- Juan M. Saavedra (6 shared papers)Miroslava Macova (3 shared papers)Hiromichi Ando (3 shared papers)Hans Imboden (2 shared papers)Yangxin Li (4 shared papers)Yao‐Hua Song (3 shared papers)Chun Liang (2 shared papers)Bin Liu (1 shared paper)
- Journals
- Blood (7 papers)Frontiers in Immunology (4 papers)Annals of the New York Academy of Sciences (3 papers)Biomedicine & Pharmacotherapy (3 papers)Journal of Pain Research (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jin Zhou
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Oncology 403
- Behavioral Neuroscience 44
- Cardiology and Cardiovascular Medicine 240
- Neurology 88
- Hematology 87
Countries citing papers authored by Jin Zhou
This map shows the geographic impact of Jin Zhou'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 Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zhou more than expected).
Fields of papers citing papers by Jin Zhou
This network shows the impact of papers produced by Jin Zhou. 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 Zhou. The network helps show where Jin Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Zhou, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 157 | |
| 2 | 2016 | 145 | |
| 3 | 2006 | 81 | |
| 4 | 2014 | 63 | |
| 5 | 2015 | 62 | |
| 6 | 2016 | 61 | |
| 7 | 2004 | 61 | |
| 8 | 2008 | 60 | |
| 9 | Inhibitory effects of berberine on IK1, IK, and HERG channels of cardiac myocytes. | 2001 | 56 |
| 10 | 2017 | 54 | |
| 11 | 2014 | 53 | |
| 12 | 2018 | 49 | |
| 13 | 2017 | 49 | |
| 14 | 2020 | 46 | |
| 15 | 2010 | 45 | |
| 16 | 2013 | 42 | |
| 17 | 2021 | 34 | |
| 18 | 2017 | 31 | |
| 19 | 2017 | 26 | |
| 20 | 2016 | 26 |
About Jin Zhou
Jin Zhou is a scholar working on Oncology, Molecular Biology, Cardiology and Cardiovascular Medicine, Hematology and Surgery, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Renin-Angiotensin System Studies (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Multiple Myeloma Research and Treatments (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer Cells and Metastasis (4 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Oncology (403 citations), Behavioral Neuroscience (44 citations), Cardiology and Cardiovascular Medicine (240 citations), Neurology (88 citations) and Hematology (87 citations). Jin Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Juan M. Saavedra, Miroslava Macova, Hiromichi Ando, Hans Imboden, Yangxin Li, Yao‐Hua Song, Chun Liang, Bin Liu, Inés Armando and Gustavo Baiardi. Their work appears in journals such as Blood, Frontiers in Immunology, Annals of the New York Academy of Sciences, Biomedicine & Pharmacotherapy and Journal of Pain Research.
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.