Shaozhi Fu

6.4k total citations
164 papers, 5.0k citations indexed

About

Shaozhi Fu is a scholar working on Biomaterials, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Shaozhi Fu has authored 164 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Biomaterials, 53 papers in Biomedical Engineering and 47 papers in Molecular Biology. Recurrent topics in Shaozhi Fu's work include Nanoplatforms for cancer theranostics (36 papers), Nanoparticle-Based Drug Delivery (36 papers) and Electrospun Nanofibers in Biomedical Applications (21 papers). Shaozhi Fu is often cited by papers focused on Nanoplatforms for cancer theranostics (36 papers), Nanoparticle-Based Drug Delivery (36 papers) and Electrospun Nanofibers in Biomedical Applications (21 papers). Shaozhi Fu collaborates with scholars based in China, United States and Iran. Shaozhi Fu's co-authors include Jingbo Wu, Zhiyong Qian, Feng Luo, Gang Guo, Shuai Shi, Linglin Yang, Biqiong Wang, Zhouxue Wu, Ling Zhao and Changyang Gong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Shaozhi Fu

162 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaozhi Fu China 40 2.2k 1.8k 1.2k 768 540 164 5.0k
Mehdi Jaymand Iran 43 2.4k 1.1× 2.6k 1.4× 1.3k 1.1× 827 1.1× 619 1.1× 196 7.0k
Shuai Shi China 43 1.7k 0.8× 1.1k 0.6× 1.7k 1.5× 756 1.0× 284 0.5× 195 5.9k
Weiyuan John Kao United States 42 1.7k 0.8× 1.5k 0.9× 1.1k 0.9× 574 0.7× 483 0.9× 109 5.3k
Jun Cao China 41 2.2k 1.0× 2.6k 1.5× 2.0k 1.7× 391 0.5× 751 1.4× 190 6.3k
Ying Zhao China 32 2.3k 1.1× 2.5k 1.4× 1.9k 1.6× 436 0.6× 757 1.4× 75 5.3k
Hao Cheng United States 39 1.4k 0.6× 2.2k 1.3× 1.8k 1.6× 307 0.4× 542 1.0× 92 5.0k
Wei Wu China 39 1.8k 0.8× 1.9k 1.1× 1.6k 1.4× 345 0.4× 185 0.3× 176 5.6k
Yong Woo Cho South Korea 41 1.9k 0.9× 1.4k 0.8× 2.0k 1.7× 372 0.5× 205 0.4× 80 5.2k
Young‐Il Jeong South Korea 41 2.3k 1.1× 1.2k 0.7× 1.3k 1.2× 440 0.6× 298 0.6× 164 4.9k
Pui Lai Rachel Ee Singapore 38 1.3k 0.6× 1.4k 0.8× 1.8k 1.6× 442 0.6× 525 1.0× 74 4.9k

Countries citing papers authored by Shaozhi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shaozhi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaozhi Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaozhi Fu. A scholar is included among the top collaborators of Shaozhi Fu 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 Shaozhi Fu. Shaozhi Fu 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.
Wang, Jia, Youben Fan, Shilin Xu, et al.. (2025). Self-propelled biomotors co-deliver doxorubicin liposomes and aPD-1 antibody to fight breast cancer. Chinese Chemical Letters. 37(2). 111607–111607. 1 indexed citations
2.
Wen, Qian, Jianmei Li, Biqiong Wang, et al.. (2025). Hyaluronic acid modified metal-organic frameworks loading cisplatin achieve combined chemodynamic therapy and chemotherapy for lung cancer. International Journal of Biological Macromolecules. 300. 140238–140238. 3 indexed citations
3.
Yang, Yang, Yun Gu, Min Wu, et al.. (2025). Radiosensitizing effects of olaparib nanoparticles modified by Bifidobacterium antibodies on lung cancer. Reactive and Functional Polymers. 217. 106464–106464. 1 indexed citations
4.
Dai, Jie, Renjin Chen, Jie Wang, et al.. (2024). Intraperitoneal administration of doxorubicin-encapsulated Brucea javanica oil nanoemulsion against malignant ascites. European Journal of Pharmaceutics and Biopharmaceutics. 202. 114422–114422. 2 indexed citations
5.
Wang, Yu, Yuhao Luo, Shaozhi Fu, et al.. (2023). Zinc finger and SCAN domain-containing protein 18 is a potential DNA methylation-modified tumor suppressor and biomarker in breast cancer. Frontiers in Endocrinology. 14. 1095604–1095604. 1 indexed citations
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Fu, Shaozhi, et al.. (2022). Therapeutic Plasma Exchange: For Cancer Patients. SHILAP Revista de lepidopterología. 4 indexed citations
9.
Huang, Yuan, Junying Fan, Yi Li, et al.. (2021). Imaging of Tumor Hypoxia With Radionuclide-Labeled Tracers for PET. Frontiers in Oncology. 11. 731503–731503. 35 indexed citations
10.
Zhao, Yumei, Peng Wu, Lantu Gou, et al.. (2020). <p>HeLa Cell-Derived Paclitaxel-Loaded Microparticles Efficiently Inhibit the Growth of Cervical Carcinoma</p>. International Journal of Nanomedicine. Volume 15. 6409–6420. 13 indexed citations
11.
Xiong, Kang, Qian Wen, Jia Luo, et al.. (2020). Co-delivery of paclitaxel and curcumin by biodegradable polymeric nanoparticles for breast cancer chemotherapy. International Journal of Pharmaceutics. 589. 119875–119875. 77 indexed citations
12.
Pi, Chao, Shaozhi Fu, Hongru Yang, et al.. (2020). Oral co-delivery nanoemulsion of 5-fluorouracil and curcumin for synergistic effects against liver cancer. Expert Opinion on Drug Delivery. 17(10). 1473–1484. 37 indexed citations
13.
Li, Yue, Biqiong Wang, Zhouxue Wu, et al.. (2020). Curcumin nanoparticles incorporated in PVA/collagen composite films promote wound healing. Drug Delivery. 27(1). 1676–1685. 59 indexed citations
14.
Hou, Yi, Chao Pi, Yuanyuan Wang, et al.. (2020). Antitumor Activity In Vivo and Vitro of New Chiral Derivatives of Baicalin and Induced Apoptosis via the PI3K/Akt Signaling Pathway. Molecular Therapy — Oncolytics. 19. 67–78. 26 indexed citations
15.
Yang, Juan, Zhouxue Wu, Yao Chen, et al.. (2020). Pre-treatment with Bifidobacterium infantis and its specific antibodies enhance targeted radiosensitization in a murine model for lung cancer. Journal of Cancer Research and Clinical Oncology. 147(2). 411–422. 25 indexed citations
16.
Zhou, Yujuan, Fang Xie, Shaozhi Fu, et al.. (2018). In vitro and in vivo apatinib inhibits vasculogenic mimicry in melanoma MUM-2B cells. PLoS ONE. 13(7). e0200845–e0200845. 26 indexed citations
17.
Hu, Jie, Shaozhi Fu, Qiuxia Peng, et al.. (2016). Paclitaxel-loaded polymeric nanoparticles combined with chronomodulated chemotherapy on lung cancer: In vitro and in vivo evaluation. International Journal of Pharmaceutics. 516(1-2). 313–322. 62 indexed citations
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Dai, Mei, Xu Xu, Jia Song, et al.. (2011). Preparation of camptothecin-loaded PCEC microspheres for the treatment of colorectal peritoneal carcinomatosis and tumor growth in mice. Cancer Letters. 312(2). 189–196. 44 indexed citations
20.
Deng, Yuewen, et al.. (2008). Correlation and Path Analysis for Growth Traits in F1 Population of Pearl Oyster Pinctada martensii. Marine Science Bulletin. 10(2). 68–73. 20 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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