Bilan Wang

918 total citations · 1 hit paper
18 papers, 659 citations indexed

About

Bilan Wang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Bilan Wang has authored 18 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Oncology. Recurrent topics in Bilan Wang's work include Immunotherapy and Immune Responses (7 papers), RNA Interference and Gene Delivery (7 papers) and Nanoplatforms for cancer theranostics (4 papers). Bilan Wang is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), RNA Interference and Gene Delivery (7 papers) and Nanoplatforms for cancer theranostics (4 papers). Bilan Wang collaborates with scholars based in China and United States. Bilan Wang's co-authors include Xiang Gao, Yuzhu Hu, Junli Chen, Yan Teng, Kaiyu Wang, Yongzhong Cheng, Haoyuan Wang, Shiqi Hu, Jianguo Xu and Ting Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Advanced Functional Materials.

In The Last Decade

Bilan Wang

16 papers receiving 644 citations

Hit Papers

Current advance of nanotechnology in diagnosis and treatm... 2024 2026 2025 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bilan Wang China 13 265 248 187 148 141 18 659
Benedetta Ferrara Italy 17 314 1.2× 157 0.6× 222 1.2× 143 1.0× 98 0.7× 27 765
Matin Chehelgerdi Iran 5 398 1.5× 271 1.1× 220 1.2× 151 1.0× 109 0.8× 6 864
Tianjiao Chu China 9 164 0.6× 222 0.9× 140 0.7× 89 0.6× 73 0.5× 19 523
Linglin Feng China 15 411 1.6× 259 1.0× 393 2.1× 95 0.6× 71 0.5× 26 831
Maryam A. Shetab Boushehri Germany 13 238 0.9× 125 0.5× 142 0.8× 85 0.6× 122 0.9× 24 583
Guan Jiang China 13 210 0.8× 159 0.6× 114 0.6× 123 0.8× 80 0.6× 58 634
Zhenwei Su China 11 214 0.8× 321 1.3× 185 1.0× 142 1.0× 161 1.1× 12 589
Manu Smriti Singh India 15 342 1.3× 191 0.8× 154 0.8× 309 2.1× 90 0.6× 21 743
Ibrahim El‐Serafi Sweden 12 150 0.6× 178 0.7× 147 0.8× 158 1.1× 68 0.5× 31 593

Countries citing papers authored by Bilan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bilan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bilan Wang

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

All Works

18 of 18 papers shown
1.
He, Song, et al.. (2025). Integrating PROTAC-based targeted protein degradation with nanodelivery systems to overcome cancer therapeutic resistance. Advanced Drug Delivery Reviews. 229. 115755–115755.
2.
Wang, Bilan, Shiqi Hu, Yan Teng, et al.. (2024). Current advance of nanotechnology in diagnosis and treatment for malignant tumors. Signal Transduction and Targeted Therapy. 9(1). 200–200. 238 indexed citations breakdown →
3.
Hu, Yuzhu, Wen Nie, Xifeng Zhang, et al.. (2024). Tumor-Microenvironment-Activatable Nanoparticle Mediating Immunogene Therapy and M2 Macrophage-Targeted Inhibitor for Synergistic Cancer Immunotherapy. ACS Nano. 18(4). 3295–3312. 43 indexed citations
4.
He, Yihong, Yan Ju, Yuzhu Hu, et al.. (2023). Brd4 proteolysis-targeting chimera nanoparticles sensitized colorectal cancer chemotherapy. Journal of Controlled Release. 354. 155–166. 37 indexed citations
5.
Nie, Wen, Jing Chen, Bilan Wang, & Xiang Gao. (2022). Nonviral vector system for cancer immunogene therapy. SHILAP Revista de lepidopterología. 1(1). 5 indexed citations
6.
Nie, Wen, Ting Yu, Xiaoxiao Liu, et al.. (2021). Non-viral vector mediated CKb11 with folic acid modification regulates macrophage polarization and DC maturation to elicit immune response against cancer. Bioactive Materials. 6(11). 3678–3691. 17 indexed citations
7.
Gao, Lin, Shanze Chen, Wenbin Zhou, et al.. (2021). Kinectin 1 promotes the growth of triple-negative breast cancer via directly co-activating NF-kappaB/p65 and enhancing its transcriptional activity. Signal Transduction and Targeted Therapy. 6(1). 250–250. 15 indexed citations
8.
Yu, Ting, Wen Nie, Yihong He, et al.. (2021). Synergy of Immunostimulatory Genetherapy with Immune Checkpoint Blockade Motivates Immune Response to Eliminate Cancer. Advanced Functional Materials. 31(22). 32 indexed citations
9.
Chen, Jing, Wen Nie, Yuzhu Hu, et al.. (2021). A folic acid-modified non-viral vector combines gene therapy with chemotherapy to reverse cancer chemotherapy resistance. Applied Materials Today. 26. 101277–101277. 7 indexed citations
10.
Nie, Wen, Bilan Wang, Xue Mi, et al.. (2021). Co‐Delivery of Paclitaxel and shMCL‐1 by Folic Acid‐Modified Nonviral Vector to Overcome Cancer Chemotherapy Resistance. Small Methods. 5(5). e2001132–e2001132. 23 indexed citations
11.
Hu, Yuzhu, et al.. (2020). <p>Co-Delivery of Docetaxel and Curcumin via Nanomicelles for Enhancing Anti-Ovarian Cancer Treatment</p>. International Journal of Nanomedicine. Volume 15. 9703–9715. 47 indexed citations
12.
Yang, Tingting, Ting Luo, Hongjun Guo, et al.. (2020). Polymer Vector Loading Vesicular Stomatitis Virus Matrix Protein Gene for Colon Cancer Therapy. Journal of Biomedical Nanotechnology. 16(10). 1518–1529.
13.
Hu, Yuzhu, Peizhi Zhou, Yunzhu Lin, Daoke Yang, & Bilan Wang. (2019). Anti-Colorectal Cancer Effect via Application of Polyethylene Glycol Modified Liposomal Apatinib. Journal of Biomedical Nanotechnology. 15(6). 1256–1266. 12 indexed citations
14.
Liu, Xiaoxiao, Bilan Wang, Yanyan Li, et al.. (2019). Powerful Anticolon Tumor Effect of Targeted Gene Immunotherapy Using Folate-Modified Nanoparticle Delivery of CCL19 To Activate the Immune System. ACS Central Science. 5(2). 277–289. 54 indexed citations
15.
Liu, Xiaoxiao, Yanyan Li, Xiaodong Sun, et al.. (2018). Powerful anti-colon cancer effect of modified nanoparticle-mediated IL-15 immunogene therapy through activation of the host immune system. Theranostics. 8(13). 3490–3503. 38 indexed citations
16.
Wang, Bilan, Ting Yu, Yuzhu Hu, et al.. (2017). Prognostic role of Gli1 expression in breast cancer: a meta-analysis. Oncotarget. 8(46). 81088–81097. 15 indexed citations
17.
Liu, Xiaoxiao, Xiang Gao, Songping Zheng, et al.. (2017). Modified nanoparticle mediated IL-12 immunogene therapy for colon cancer. Nanomedicine Nanotechnology Biology and Medicine. 13(6). 1993–2004. 51 indexed citations
18.
Wang, Bilan, Xiaoxiao Liu, Yan Teng, et al.. (2017). Improving anti-melanoma effect of curcumin by biodegradable nanoparticles. Oncotarget. 8(65). 108624–108642. 25 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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