Sufang Zhou

1.7k total citations
69 papers, 1.2k citations indexed

About

Sufang Zhou is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sufang Zhou has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 22 papers in Immunology and 17 papers in Oncology. Recurrent topics in Sufang Zhou's work include Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (9 papers) and RNA Interference and Gene Delivery (7 papers). Sufang Zhou is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), Immune Cell Function and Interaction (9 papers) and RNA Interference and Gene Delivery (7 papers). Sufang Zhou collaborates with scholars based in China, New Zealand and United States. Sufang Zhou's co-authors include Yongxiang Zhao, Xiaoling Lü, Jian He, Guorong Luo, Jing Su, Yong Huang, Nuo Zhou, Lijie Cui, Jintao Liang and Nuo Yang and has published in prestigious journals such as The Journal of Experimental Medicine, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Sufang Zhou

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sufang Zhou China 20 690 285 240 187 153 69 1.2k
Sheng Liu United States 22 759 1.1× 206 0.7× 343 1.4× 171 0.9× 271 1.8× 65 1.5k
You Qin China 19 657 1.0× 189 0.7× 317 1.3× 160 0.9× 278 1.8× 66 1.3k
Yunpeng Bai United States 21 766 1.1× 263 0.9× 150 0.6× 180 1.0× 127 0.8× 60 1.2k
Jiali Zhang China 20 493 0.7× 219 0.8× 157 0.7× 179 1.0× 169 1.1× 67 1.1k
Yawen Guo China 18 326 0.5× 122 0.4× 179 0.7× 142 0.8× 126 0.8× 51 1.0k
Tao Fang China 25 1.0k 1.5× 308 1.1× 457 1.9× 286 1.5× 446 2.9× 53 1.8k
Jungshan Chang Taiwan 19 386 0.6× 156 0.5× 223 0.9× 200 1.1× 111 0.7× 50 909
Di Fan China 24 680 1.0× 88 0.3× 120 0.5× 145 0.8× 151 1.0× 65 1.4k
Qiyun Tang China 23 625 0.9× 110 0.4× 282 1.2× 143 0.8× 366 2.4× 65 1.3k
Antonia Marazioti Greece 15 834 1.2× 187 0.7× 104 0.4× 258 1.4× 324 2.1× 40 1.9k

Countries citing papers authored by Sufang Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhao, Aiqin, et al.. (2025). Transcription factor networks and novel immune biomarkers reveal key prognostic and therapeutic insights in ovarian cancer. Discover Oncology. 16(1). 309–309. 1 indexed citations
2.
Zhao, Aiqin, Yunzhi Pan, Zheng Zhi, et al.. (2024). MUC1 promotes cervical squamous cell carcinoma through ERK phosphorylation-mediated regulation of ITGA2/ITGA3. BMC Cancer. 24(1). 559–559. 3 indexed citations
3.
Li, Kezhi, et al.. (2024). Identification and diagnostic potential of hsa_circ_101303 in colorectal cancer: unraveling a regulatory network. BMC Cancer. 24(1). 671–671. 2 indexed citations
4.
Wang, Zuqiang, et al.. (2021). Eriodictyol Attenuates MCAO-Induced Brain Injury and Neurological Deficits via Reversing the Autophagy Dysfunction. Frontiers in Systems Neuroscience. 15. 655125–655125. 16 indexed citations
5.
Zhou, Sufang, et al.. (2021). Immunotherapeutic Potential of T Memory Stem Cells. Frontiers in Oncology. 11. 723888–723888. 27 indexed citations
6.
Wei, Changhong, et al.. (2021). Pyroptosis, a New Breakthrough in Cancer Treatment. Frontiers in Oncology. 11. 698811–698811. 38 indexed citations
7.
Zhou, Sufang, Yong Huang, Duo Zheng, et al.. (2017). Isolation of Fibroblast-Activation Protein-Specific Cancer-Associated Fibroblasts. BioMed Research International. 2017. 1–8. 16 indexed citations
8.
Wu, Siwen, et al.. (2017). 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. Biomedical Research-tokyo. 28(21). 9376–9381. 1 indexed citations
9.
Yuan, Yulin, Shanshan Li, Yewei Xue, et al.. (2017). A Fe3O4@Au-basedpseudo-homogeneous electrochemical immunosensor for AFP measurement using AFP antibody-GNPs-HRP as detection probe. Analytical Biochemistry. 534. 56–63. 54 indexed citations
10.
Gong, Wenlin, Gang Du, Zhongquan Qi, et al.. (2017). Preoperative application of combination of portal venous injection of donor spleen cells and intraperitoneal injection of rapamycin prolongs the survival of cardiac allografts in mice. Asian Pacific Journal of Tropical Medicine. 10(5). 454–460. 3 indexed citations
11.
Zhuang, Yuan, et al.. (2016). Senescence marker protein 30 (SMP30) serves as a potential prognostic indicator in hepatocellular carcinoma. Scientific Reports. 6(1). 39376–39376. 21 indexed citations
12.
Wei, Chunli, Jingliang Cheng, Li Zhu, et al.. (2016). Tripartite motif containing 28 (TRIM28) promotes breast cancer metastasis by stabilizing TWIST1 protein. Scientific Reports. 6(1). 29822–29822. 68 indexed citations
13.
He, Jian, Siliang Duan, Zhiyong Qian, et al.. (2016). Folate-modified Chitosan Nanoparticles Containing the IP-10 Gene Enhance Melanoma-specific Cytotoxic CD8+CD28+ T Lymphocyte Responses. Theranostics. 6(5). 752–761. 39 indexed citations
14.
Lai, Chunhui, Huiqin Zhuo, Nuo Zhou, et al.. (2014). Anti-Tumor Immune Response of Folate-Conjugated Chitosan Nanoparticles Containing the IP-10 Gene in Mice with Hepatocellular Carcinoma. Journal of Biomedical Nanotechnology. 10(12). 3576–3589. 44 indexed citations
15.
Xie, Sha, et al.. (2014). MAGED4 Expression in Glioma and Upregulation in Glioma Cell Lines with 5-Aza-2'-Deoxycytidine Treatment. Asian Pacific Journal of Cancer Prevention. 15(8). 3495–3501. 14 indexed citations
16.
Zhuo, Huiqin, Yi Peng, Qin Yao, et al.. (2013). Tumor Imaging and Interferon-γ–Inducible Protein-10 Gene Transfer Using a Highly Efficient Transferrin-Conjugated Liposome System in Mice. Clinical Cancer Research. 19(15). 4206–4217. 24 indexed citations
17.
Zhou, Sufang. (2012). The Effect of Yiqihuoxue Collaterals Soup with Chemotherapy on Quality of Life for Advanced Non-small Cell Lung Cancer-A Randomized Controlled Study. 1 indexed citations
18.
Zhou, Sufang. (2011). Marketing Risk and Precaution of Forest Products in the Case of Information Asymmetry. Zhongnan Linye Keji Daxue xuebao.
19.
Fan, Rong, et al.. (2006). Overexpression of MAGE-D4 in colorectal cancer is a potentially prognostic biomarker and immunotherapy target.. RePEc: Research Papers in Economics. 7(7). 3918–27. 18 indexed citations
20.
Zhou, Sufang, et al.. (2005). Identification of HCC-22-5 tumor-associated antigen and antibody response in patients. Clinica Chimica Acta. 366(1-2). 274–280. 19 indexed citations

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.

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