Sai Zhang

962 total citations
27 papers, 724 citations indexed

About

Sai Zhang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Sai Zhang has authored 27 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Sai Zhang's work include MicroRNA in disease regulation (4 papers), Cancer-related gene regulation (4 papers) and Ferroptosis and cancer prognosis (3 papers). Sai Zhang is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer-related gene regulation (4 papers) and Ferroptosis and cancer prognosis (3 papers). Sai Zhang collaborates with scholars based in China, United States and Ethiopia. Sai Zhang's co-authors include Yaodong He, Guangyi Wang, Biswarup Sen, Shixiang Cheng, Yue Tu, Yiming Tao, Gang Yin, Cheng Yang, Hongtao Sun and Zhongwei Xu and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Oncogene.

In The Last Decade

Sai Zhang

25 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sai Zhang China 17 467 169 106 87 83 27 724
Yaodong Chen China 16 356 0.8× 131 0.8× 113 1.1× 98 1.1× 184 2.2× 35 715
Hamid Reza Heidari Iran 11 346 0.7× 105 0.6× 94 0.9× 37 0.4× 82 1.0× 21 644
Jiali Zhang China 20 493 1.1× 169 1.0× 157 1.5× 79 0.9× 179 2.2× 67 1.1k
Fang Ni China 21 492 1.1× 236 1.4× 69 0.7× 33 0.4× 66 0.8× 40 1.1k
Xiaoting Yu China 17 423 0.9× 317 1.9× 198 1.9× 148 1.7× 36 0.4× 43 900
Yunlong Wang China 19 630 1.3× 244 1.4× 79 0.7× 68 0.8× 31 0.4× 61 1.1k
Dipta Sengupta India 21 965 2.1× 196 1.2× 137 1.3× 59 0.7× 105 1.3× 27 1.3k
Yuzhou Shen China 10 229 0.5× 121 0.7× 87 0.8× 54 0.6× 30 0.4× 21 507
Ao Hu China 17 494 1.1× 144 0.9× 75 0.7× 45 0.5× 199 2.4× 41 1.0k
Sungguan Hong South Korea 14 375 0.8× 157 0.9× 103 1.0× 35 0.4× 78 0.9× 31 792

Countries citing papers authored by Sai Zhang

Since Specialization
Citations

This map shows the geographic impact of Sai Zhang'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 Sai Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Zhang more than expected).

Fields of papers citing papers by Sai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai Zhang. 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 Sai Zhang. The network helps show where Sai Zhang may publish in the future.

Co-authorship network of co-authors of Sai Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Zhang. A scholar is included among the top collaborators of Sai Zhang 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 Sai Zhang. Sai Zhang 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.
Zhang, Hong, et al.. (2025). Anxiety and Depressive Symptoms Among Kidney Transplant Recipients in Post-COVID-19 China: Prevalence and Risk Factors. Risk Management and Healthcare Policy. Volume 18. 2601–2611. 1 indexed citations
2.
Zhang, Haoxiang, Rong-Hua Li, Lin Zhuo, et al.. (2025). Risk Prediction of Postoperative Renal Dysfunction Based on Preoperative Lipid Profiles in Renal Transplant Recipients: A Retrospective Cohort Study. Risk Management and Healthcare Policy. Volume 18. 2539–2550.
3.
4.
Wang, Hao, Sai Zhang, Lei Cao, et al.. (2023). Metronomic capecitabine inhibits liver transplant rejection in rats by triggering recipients’ T cell ferroptosis. World Journal of Gastroenterology. 29(20). 3084–3102. 8 indexed citations
5.
Yang, Mei, Ruijie Liu, Qí Zhāng, et al.. (2022). Human umbilical cord mesenchymal stem cell-derived extracellular vesicles loaded with miR-223 ameliorate myocardial infarction through P53/S100A9 axis. Genomics. 114(3). 110319–110319. 24 indexed citations
6.
Zhang, Sai, Zhenglu Wang, Tao Liu, et al.. (2021). Capecitabine Can Induce T Cell Apoptosis: A Potential Immunosuppressive Agent With Anti-Cancer Effect. Frontiers in Immunology. 12. 737849–737849. 17 indexed citations
7.
Liu, Ruijie, Xujun Liang, Sai Zhang, et al.. (2020). lncRNA RP11-624L4.1 Is Associated with Unfavorable Prognosis and Promotes Proliferation via the CDK4/6-Cyclin D1-Rb-E2F1 Pathway in NPC. Molecular Therapy — Nucleic Acids. 22. 1025–1039. 27 indexed citations
8.
Wei, Chao, Li Lin, Sai Zhang, et al.. (2020). The NLRP3 inflammasome regulates corneal allograft rejection through enhanced phosphorylation of STAT3. American Journal of Transplantation. 20(12). 3354–3366. 19 indexed citations
9.
Zhang, Sai, Yaodong He, Biswarup Sen, & Guangyi Wang. (2020). Reactive oxygen species and their applications toward enhanced lipid accumulation in oleaginous microorganisms. Bioresource Technology. 307. 123234–123234. 147 indexed citations
10.
Tan, Fengbo, Kuan Hu, Dong Wang, et al.. (2020). <p>WAVE2 Enhanced Hepatic Stellate Cells Activity in Colorectal Liver Metastases</p>. Cancer Management and Research. Volume 12. 7671–7680. 5 indexed citations
11.
Fan, Lili, Lei Han, Sai Zhang, et al.. (2020). Non-canonical signaling pathway of SNAI2 induces EMT in ovarian cancer cells by suppressing miR-222-3p transcription and upregulating PDCD10. Theranostics. 10(13). 5895–5913. 59 indexed citations
12.
Zeng, Liang, Xiyun Deng, Yuan Li, et al.. (2019). Prognostic value of biomarkers EpCAM and αB-crystallin associated with lymphatic metastasis in breast cancer by iTRAQ analysis. BMC Cancer. 19(1). 831–831. 19 indexed citations
13.
Li, Tong, Wenjuan Zhou, Yimin Li, et al.. (2019). MiR-4524b-5p/WTX/β-catenin axis functions as a regulator of metastasis in cervical cancer. PLoS ONE. 14(4). e0214822–e0214822. 16 indexed citations
14.
Luo, Jia, Dong Wang, Sai Zhang, et al.. (2019). BolA family member 2 enhances cell proliferation and predicts a poor prognosis in hepatocellular carcinoma with tumor hemorrhage. Journal of Cancer. 10(18). 4293–4304. 14 indexed citations
15.
Wang, Dong, Zhiming Wang, Sai Zhang, Haijun Wu, & Yiming Tao. (2018). Canopy Homolog 2 Expression Predicts Poor Prognosis in Hepatocellular Carcinoma with Tumor Hemorrhage. Cellular Physiology and Biochemistry. 50(6). 2017–2028. 11 indexed citations
16.
Hu, Kuan, et al.. (2018). CLEC1B Expression and PD-L1 Expression Predict Clinical Outcome in Hepatocellular Carcinoma with Tumor Hemorrhage. Translational Oncology. 11(2). 552–558. 36 indexed citations
17.
Yi, Tailong, Sai Zhang, Zhongwei Xu, et al.. (2017). Hypoxia-inducible factor-1 alpha is involved in RIP-induced necroptosis caused by in vitro and in vivo ischemic brain injury. Scientific Reports. 7(1). 5818–5818. 96 indexed citations
18.
19.
Zhang, Sai, Yangmin Hu, Yu-Wen Huang, et al.. (2015). Heat shock protein 27 promotes cell proliferation through activator protein-1 in lung cancer. Oncology Letters. 9(6). 2572–2576. 18 indexed citations
20.
Cheng, Shixiang, Yue Tu, & Sai Zhang. (2013). FoxM1 Promotes Glioma Cells Progression by Up-Regulating Anxa1 Expression. PLoS ONE. 8(8). e72376–e72376. 29 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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