Sufang Zhou
- Molecular Biology
- Immunology top 10%
- Oncology top 10%
- Biomedical Engineering
- Cancer Research
- Co-authors
- Yongxiang ZhaoXiaoling LüJian HeGuorong LuoJing SuYong HuangNuo ZhouLijie Cui
- Topics
- Immunotherapy and Immune Responses (14 papers)Immune Cell Function and Interaction (9 papers)RNA Interference and Gene Delivery (7 papers)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Sufang Zhou
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 690
- Immunology 285
- Oncology 240
- Biomedical Engineering 187
- Cancer Research 153
Countries citing papers authored by Sufang Zhou
This map shows the geographic impact of Sufang 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 Sufang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sufang Zhou more than expected).
Fields of papers citing papers by Sufang Zhou
This network shows the impact of papers produced by Sufang 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 Sufang Zhou. The network helps show where Sufang Zhou may publish in the future.
Co-authorship network of co-authors of Sufang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Sufang Zhou. A scholar is included among the top collaborators of Sufang Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sufang Zhou. Sufang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 27 | |
| 6 | 38 | |
| 7 | 16 | |
| 8 | Comparison of the effect of two methods of intraductal injection of the nipple catheter and modified up-the-teat intraductal injection in construction of tree shrew breast cancer model | 1 |
| 9 | 54 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | 68 | |
| 13 | 39 | |
| 14 | 44 | |
| 15 | 14 | |
| 16 | 24 | |
| 17 | The Effect of Yiqihuoxue Collaterals Soup with Chemotherapy on Quality of Life for Advanced Non-small Cell Lung Cancer-A Randomized Controlled Study | 1 |
| 18 | Marketing Risk and Precaution of Forest Products in the Case of Information Asymmetry | 0 |
| 19 | Overexpression of MAGE-D4 in colorectal cancer is a potentially prognostic biomarker and immunotherapy target. | 18 |
| 20 | 19 |
About Sufang Zhou
Sufang Zhou is a scholar working on Immunology, Cancer Research and Oncology, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (9 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Immunology (285 citations), Cancer Research (153 citations) and Molecular Biology (690 citations). Sufang Zhou has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Yongxiang Zhao, Xiaoling Lü, Jian He, Guorong Luo, Jing Su, Yong Huang, Nuo Zhou, Lijie Cui, Jintao Liang and Nuo Yang. Their work appears in journals such as The Journal of Experimental Medicine, Analytical Biochemistry and Scientific Reports.
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.