Xiaoli Wei

5.4k total citations · 1 hit paper
88 papers, 4.3k citations indexed

About

Xiaoli Wei is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Xiaoli Wei has authored 88 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 28 papers in Biomaterials and 24 papers in Biomedical Engineering. Recurrent topics in Xiaoli Wei's work include Nanoparticle-Based Drug Delivery (26 papers), RNA Interference and Gene Delivery (17 papers) and Nanoplatforms for cancer theranostics (14 papers). Xiaoli Wei is often cited by papers focused on Nanoparticle-Based Drug Delivery (26 papers), RNA Interference and Gene Delivery (17 papers) and Nanoplatforms for cancer theranostics (14 papers). Xiaoli Wei collaborates with scholars based in China, United States and South Korea. Xiaoli Wei's co-authors include Weiyue Lu, Changyou Zhan, Liangfang Zhang, Ronnie H. Fang, Ying Man, Weiwei Gao, Cao Xie, Jiarong Zhou, Ashley V. Kroll and Danni Ran and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Xiaoli Wei

86 papers receiving 4.3k citations

Hit Papers

Engineered Cell‐Membrane‐Coated Nanoparticles Directly Pr... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Wei China 34 2.3k 1.8k 1.7k 488 390 88 4.3k
Diana Dehaini United States 18 1.9k 0.8× 2.4k 1.3× 1.5k 0.9× 834 1.7× 378 1.0× 20 4.0k
Jiarong Zhou United States 27 1.9k 0.8× 2.2k 1.2× 1.0k 0.6× 1.1k 2.2× 330 0.8× 38 4.1k
Jonathan A. Copp United States 10 1.3k 0.6× 1.9k 1.0× 1.3k 0.7× 535 1.1× 268 0.7× 19 3.0k
Junjie Liu China 45 2.0k 0.9× 3.4k 1.9× 2.1k 1.2× 496 1.0× 1.5k 3.8× 138 5.9k
Hong Pan China 34 1.5k 0.7× 2.1k 1.1× 858 0.5× 1.0k 2.1× 377 1.0× 72 3.7k
Zongmin Zhao United States 33 1.7k 0.7× 1.5k 0.8× 1.2k 0.7× 732 1.5× 367 0.9× 71 4.3k
Zhenjia Wang United States 25 1.3k 0.6× 1.6k 0.9× 792 0.5× 920 1.9× 370 0.9× 40 3.3k
Michael Evangelopoulos United States 30 1.7k 0.8× 1.7k 0.9× 1.3k 0.7× 553 1.1× 357 0.9× 51 3.3k
Allan E. David United States 32 1.2k 0.5× 1.7k 1.0× 1.9k 1.1× 180 0.4× 677 1.7× 64 3.8k
Silvia Muro United States 41 1.9k 0.8× 973 0.5× 1.6k 1.0× 370 0.8× 419 1.1× 100 4.8k

Countries citing papers authored by Xiaoli Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Wei. A scholar is included among the top collaborators of Xiaoli Wei 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 Xiaoli Wei. Xiaoli Wei 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.
Wei, Xiaoli, Dan‐Yun Ruan, Feng Wang, et al.. (2025). First-in-human phase 1 study of an orally bioavailable vascular-disrupting agent DX1002 in patients with advanced solid tumors. Cell Reports Medicine. 6(2). 101969–101969. 1 indexed citations
2.
Zhang, Ruyi, et al.. (2025). Tissue-specific partitioning of flavonoids and phenolic acids coordinates bioactivities in Ormosia henryi Prain. BMC Plant Biology. 25(1). 1309–1309. 1 indexed citations
3.
Zhou, Ji‐Chao, Yuanyuan Liu, Xiaoli Wei, et al.. (2024). Glycnsisitin A: A promising bicyclic peptide against heart failure that facilitates TFRC-mediated uptake of iron in cardiomyocytes. Acta Pharmaceutica Sinica B. 14(7). 3125–3139. 5 indexed citations
4.
Guo, Zhongyuan, Xiaoli Wei, Yao Jiang, et al.. (2024). A genetically engineered neuronal membrane-based nanotoxoid elicits protective immunity against neurotoxins. Bioactive Materials. 38. 321–330. 1 indexed citations
5.
Wei, Xiaoli, et al.. (2023). Physicochemical properties and adsorption state of aluminum adjuvants with different processes in vaccines. Heliyon. 9(8). e18800–e18800. 5 indexed citations
7.
Gao, Ning, et al.. (2023). Mitochondrial DNA methylation is a predictor of immunotherapy response and prognosis in breast cancer: scRNA-seq and bulk-seq data insights. Frontiers in Immunology. 14. 1219652–1219652. 5 indexed citations
9.
Ding, Tianhao, Juan Guan, Mengke Wang, et al.. (2020). Natural IgM dominates in vivo performance of liposomes. Journal of Controlled Release. 319. 371–381. 39 indexed citations
10.
Zhang, Gang, Brian T. Luk, Xiaoli Wei, et al.. (2019). Selective cell death of latently HIV-infected CD4+ T cells mediated by autosis inducing nanopeptides. Cell Death and Disease. 10(6). 419–419. 38 indexed citations
11.
Wang, Hua, Rui Yang, Fengqi Liu, et al.. (2019). R2-8018 reduces the proliferation and migration of non-small cell lung cancer cells by disturbing transactivation between M3R and EGFR. Life Sciences. 234. 116742–116742. 7 indexed citations
12.
Wang, Chenhong, et al.. (2018). Polyion complexes of a cationic antimicrobial peptide as a potential systemically administered antibiotic. International Journal of Pharmaceutics. 554. 284–291. 30 indexed citations
13.
Chai, Zhilan, Xuefeng Hu, Xiaoli Wei, et al.. (2017). A facile approach to functionalizing cell membrane-coated nanoparticles with neurotoxin-derived peptide for brain-targeted drug delivery. Journal of Controlled Release. 264. 102–111. 215 indexed citations
14.
Zhan, Changyou, et al.. (2015). Toxins and derivatives in molecular pharmaceutics: Drug delivery and targeted therapy. Advanced Drug Delivery Reviews. 90. 101–118. 40 indexed citations
15.
Yu, Jinmei, Rengong Zhuo, Peng Peng, et al.. (2015). P7, a novel antagonist of corticotropin releasing factor receptor type 1 (CRFR1) screened from phage display library. Biochemical and Biophysical Research Communications. 463(3). 200–204. 1 indexed citations
16.
Wei, Xiaoli, Jie Gao, Changyou Zhan, et al.. (2015). Liposome-based glioma targeted drug delivery enabled by stable peptide ligands. Journal of Controlled Release. 218. 13–21. 120 indexed citations
17.
Wu, Qian, et al.. (2014). [Survey of Hepatitis B infection and vaccination status among drug users in Xi'an].. PubMed. 48(10). 862–6. 4 indexed citations
18.
Qiu, Fang, et al.. (2014). Increased expression of acid-sensing ion channel 3 within dorsal root ganglia in a rat model of bone cancer pain. Neuroreport. 25(12). 887–893. 16 indexed citations
19.
Yang, Yiyi, Zhiqiang Yan, Dai‐Xu Wei, et al.. (2013). Tumor-penetrating peptide functionalization enhances the anti-glioblastoma effect of doxorubicin liposomes. Nanotechnology. 24(40). 405101–405101. 53 indexed citations
20.
Yan, Zhiqiang, Fei Wang, Ziyi Wen, et al.. (2011). LyP-1-conjugated PEGylated liposomes: A carrier system for targeted therapy of lymphatic metastatic tumor. Journal of Controlled Release. 157(1). 118–125. 123 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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