Guangxi Zhai

11.1k total citations · 2 hit papers
173 papers, 9.1k citations indexed

About

Guangxi Zhai is a scholar working on Biomaterials, Pharmaceutical Science and Molecular Biology. According to data from OpenAlex, Guangxi Zhai has authored 173 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Biomaterials, 66 papers in Pharmaceutical Science and 58 papers in Molecular Biology. Recurrent topics in Guangxi Zhai's work include Nanoparticle-Based Drug Delivery (63 papers), Nanoplatforms for cancer theranostics (47 papers) and Advanced Drug Delivery Systems (40 papers). Guangxi Zhai is often cited by papers focused on Nanoparticle-Based Drug Delivery (63 papers), Nanoplatforms for cancer theranostics (47 papers) and Advanced Drug Delivery Systems (40 papers). Guangxi Zhai collaborates with scholars based in China, United States and Australia. Guangxi Zhai's co-authors include Xiaoye Yang, Yingjie Zhai, Chenyu Guo, Aihua Yu, Fengliang Cao, Jianbo Ji, Hong‐Xiang Lou, Hongliang Du, Yanwei Xi and Yan Gao and has published in prestigious journals such as ACS Nano, Biomaterials and Coordination Chemistry Reviews.

In The Last Decade

Guangxi Zhai

170 papers receiving 8.9k citations

Hit Papers

Enhancement of gastrointe... 2008 2026 2014 2020 2008 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangxi Zhai China 53 3.0k 2.8k 2.7k 1.9k 1.8k 173 9.1k
M. N. V. Ravi Kumar United States 45 3.1k 1.0× 4.4k 1.6× 2.4k 0.9× 1.5k 0.8× 1.7k 0.9× 114 10.7k
Chul Soon Yong South Korea 56 3.6k 1.2× 3.1k 1.1× 2.6k 1.0× 679 0.4× 2.5k 1.3× 232 10.5k
Qineng Ping China 49 2.8k 0.9× 3.5k 1.3× 3.1k 1.2× 685 0.4× 2.0k 1.1× 213 8.7k
Dae‐Duk Kim South Korea 54 3.3k 1.1× 3.2k 1.1× 3.1k 1.2× 628 0.3× 1.9k 1.1× 293 10.8k
Donatella Paolino Italy 53 3.2k 1.1× 2.5k 0.9× 3.0k 1.1× 543 0.3× 1.5k 0.8× 188 9.0k
Weisan Pan China 51 4.1k 1.4× 2.3k 0.8× 2.0k 0.8× 691 0.4× 2.0k 1.1× 256 8.6k
Amit Alexander India 44 2.7k 0.9× 1.8k 0.6× 1.8k 0.7× 856 0.5× 1.2k 0.7× 178 7.0k
Pornsak Sriamornsak Thailand 45 2.8k 0.9× 1.9k 0.7× 1.5k 0.6× 867 0.5× 1.2k 0.7× 217 7.7k
Sanyog Jain India 56 3.7k 1.3× 3.2k 1.1× 3.3k 1.3× 576 0.3× 1.8k 1.0× 222 9.8k
Már Másson Iceland 44 3.1k 1.0× 2.3k 0.8× 1.9k 0.7× 1.1k 0.6× 837 0.5× 119 7.9k

Countries citing papers authored by Guangxi Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Guangxi Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxi Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxi Zhai. A scholar is included among the top collaborators of Guangxi Zhai 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 Guangxi Zhai. Guangxi Zhai 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.
He, Zhijing, Qixiang Feng, Lei Ye, et al.. (2025). A cerium-based ferroptosis/PANoptosis nano-inducer for photothermal-enhanced combination therapy of breast cancer. Chemical Engineering Journal. 516. 163961–163961.
2.
Zhou, He Ping, Feiyan Zhao, Qixiang Feng, et al.. (2025). Exosome/liposome hybrid nanovesicles for enhanced phototherapy and boosted anti-tumor immunity against melanoma. European Journal of Medicinal Chemistry. 289. 117485–117485. 5 indexed citations
4.
Liu, Zehui, Xiyou Du, Minghui Song, et al.. (2024). Construction and evaluation of transdermal delivery system of terbinafine-loaded plant exosomes for the treatment of cutaneous fungal infections. Journal of Drug Delivery Science and Technology. 102. 106365–106365. 7 indexed citations
5.
Zhang, Yu, Xiyou Du, Qixiang Feng, et al.. (2024). A metabolic intervention strategy for enhanced ferroptosis/cuproptosis activation and boosted anti-tumor immunity. Chemical Engineering Journal. 500. 156732–156732. 4 indexed citations
6.
Zhang, Yu, Xiyou Du, Zhijing He, et al.. (2023). A Vanadium-Based Nanoplatform Synergizing Ferroptotic-like Therapy with Glucose Metabolism Intervention for Enhanced Cancer Cell Death and Antitumor Immunity. ACS Nano. 17(12). 11537–11556. 49 indexed citations
7.
Xu, Jiangkang, Fenghua Wang, Lei Ye, et al.. (2023). Penetrating peptides: Applications in drug delivery. Journal of Drug Delivery Science and Technology. 84. 104475–104475. 14 indexed citations
8.
He, Zhijing, Yu Zhang, Dongzhu Liu, et al.. (2023). Intelligent Self-amplifying Ferroptosis-inducible nanoplatform for enhanced tumor microenvironment reconstruction and combination therapy. Chemical Engineering Journal. 468. 143729–143729. 19 indexed citations
9.
Wang, Rui, Yingying Li, Shan Gao, et al.. (2023). An active transport dual adaptive nanocarrier designed to overcome the corneal microenvironment for neovascularization therapy. Biomaterials Science. 12(2). 361–374. 2 indexed citations
10.
Li, Jingkun, Qiang Tian, Huimin Sun, et al.. (2022). A novel, liposome-loaded, injectable hydrogel for enhanced treatment of choroidal neovascularization by sub-tenon's injection. Materials Today Nano. 20. 100264–100264. 14 indexed citations
11.
Zhang, Weifeng, Yao Xiao, Bing Tian, et al.. (2022). An overview of in vitro dissolution testing for film dosage forms. Journal of Drug Delivery Science and Technology. 71. 103297–103297. 12 indexed citations
12.
Du, Xiyou, et al.. (2021). A review of stimuli-responsive polymeric micelles for tumor-targeted delivery of curcumin. Drug Development and Industrial Pharmacy. 47(6). 839–856. 26 indexed citations
13.
Zhang, Yu, Xiyou Du, Jianbo Ji, et al.. (2021). NIR-triggerable ROS-responsive cluster-bomb-like nanoplatform for enhanced tumor penetration, phototherapy efficiency and antitumor immunity. Biomaterials. 278. 121135–121135. 62 indexed citations
14.
Wang, Rong, et al.. (2021). Cancer targeted biomimetic drug delivery system. Journal of Drug Delivery Science and Technology. 63. 102530–102530. 14 indexed citations
15.
Zhang, Hui, et al.. (2016). Self-assembled micelles based on Chondroitin sulfate/poly ( d , l -lactideco-glycolide) block copolymers for doxorubicin delivery. Journal of Colloid and Interface Science. 492. 101–111. 33 indexed citations
16.
Zhai, Guangxi. (2013). Preparation of the Topical Gel Based on Quercetin-Loaded Ethosome. Pharmaceutical biotechnology. 1 indexed citations
17.
Zhai, Guangxi. (2012). Progress of Clinical Research on Curcumin. 1 indexed citations
18.
Zhai, Guangxi, et al.. (2010). Preparation and in Vitro Dissolution of Oleanolic Acid Self-Microemulsifying Drug Delivery System. Zhongguo yaofang. 3 indexed citations
19.
Sun, Min, Yan Gao, Yan Pei, et al.. (2010). Development of Nanosuspension Formulation for Oral Delivery of Quercetin. Journal of Biomedical Nanotechnology. 6(4). 325–332. 50 indexed citations
20.
Zhai, Guangxi. (2005). Preparation and characteristics of curcumin microemulsion. Zhōnghuá yàoxué zázhì. 1 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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