Wan Xu

970 total citations
13 papers, 784 citations indexed

About

Wan Xu is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, Wan Xu has authored 13 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomaterials and 4 papers in Oncology. Recurrent topics in Wan Xu's work include Nanoparticle-Based Drug Delivery (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Wan Xu is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Wan Xu collaborates with scholars based in China and South Korea. Wan Xu's co-authors include Qizhi Zhang, Xiaoyao Zheng, Xiayan Shao, Qingfeng Liu, Chi Zhang, Zheming Zhang, Xinguo Jiang, Yong Qian, Xiaoying Pang and Qian Guo and has published in prestigious journals such as Biomaterials, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Wan Xu

13 papers receiving 772 citations

Peers

Wan Xu
Wan Xu
Citations per year, relative to Wan Xu Wan Xu (= 1×) peers Eleni Markoutsa

Countries citing papers authored by Wan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Wan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Wan Xu. A scholar is included among the top collaborators of Wan Xu 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 Wan Xu. Wan Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Xu, Wan, Yang Chen, Shanna Liu, et al.. (2024). Early prediction of acute-on-chronic liver failure development in patients with diverse chronic liver diseases. Scientific Reports. 14(1). 28245–28245. 3 indexed citations
2.
Li, Bo, et al.. (2024). Long-Circulating and Targeted Liposomes Co-loading Cisplatin and Mifamurtide: Formulation and Delivery in Osteosarcoma Cells. AAPS PharmSciTech. 25(8). 272–272. 3 indexed citations
3.
Li, Huizhen, Wan Xu, Fang Li, et al.. (2022). Amplification of anticancer efficacy by co-delivery of doxorubicin and lonidamine with extracellular vesicles. Drug Delivery. 29(1). 192–202. 43 indexed citations
4.
Xu, Wan, et al.. (2020). Leonurine protects against dexamethasone-induced cytotoxicity in pancreatic β-cells via PI3K/Akt signaling pathway. Biochemical and Biophysical Research Communications. 529(3). 652–658. 15 indexed citations
5.
Pang, Xiaoying, Peng Yang, Liuchang Wang, et al.. (2019). Human serum albumin nanoparticulate system with encapsulation of gefitinib for enhanced anti-tumor effects in non-small cell lung cancer. Journal of Drug Delivery Science and Technology. 52. 997–1007. 20 indexed citations
6.
Zheng, Xiaoyao, Chi Zhang, Qian Guo, et al.. (2017). Dual-functional nanoparticles for precise drug delivery to Alzheimer’s disease lesions: Targeting mechanisms, pharmacodynamics and safety. International Journal of Pharmaceutics. 525(1). 237–248. 61 indexed citations
7.
Zheng, Xiaoyao, Xiaoying Pang, Peng Yang, et al.. (2016). A hybrid siRNA delivery complex for enhanced brain penetration and precise amyloid plaque targeting in Alzheimer’s disease mice. Acta Biomaterialia. 49. 388–401. 58 indexed citations
8.
Xu, Wan, Xiaoyao Zheng, Zhiqing Pang, et al.. (2016). Lapatinib-loaded human serum albumin nanoparticles for the prevention and treatment of triple-negative breast cancer metastasis to the brain. Oncotarget. 7(23). 34038–34051. 59 indexed citations
9.
Xu, Wan, Xiaoyao Zheng, Xiaoying Pang, et al.. (2015). The potential use of lapatinib-loaded human serum albumin nanoparticles in the treatment of triple-negative breast cancer. International Journal of Pharmaceutics. 484(1-2). 16–28. 54 indexed citations
10.
Xu, Wan, Xiaoyao Zheng, Xiaoying Pang, Zheming Zhang, & Qizhi Zhang. (2015). Incorporation of lapatinib into human serum albumin nanoparticles with enhanced anti-tumor effects in HER2-positive breast cancer. Colloids and Surfaces B Biointerfaces. 136. 817–827. 58 indexed citations
11.
Zheng, Xiaoyao, Xiayan Shao, Chi Zhang, et al.. (2015). Intranasal H102 Peptide-Loaded Liposomes for Brain Delivery to Treat Alzheimer’s Disease. Pharmaceutical Research. 32(12). 3837–3849. 138 indexed citations
12.
Zhang, Chi, Xiaoyao Zheng, Wan Xu, et al.. (2014). The potential use of H102 peptide-loaded dual-functional nanoparticles in the treatment of Alzheimer's disease. Journal of Controlled Release. 192. 317–324. 79 indexed citations
13.
Zhang, Chi, Wan Xu, Xiaoyao Zheng, et al.. (2013). Dual-functional nanoparticles targeting amyloid plaques in the brains of Alzheimer's disease mice. Biomaterials. 35(1). 456–465. 193 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026