The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Anticancer Platelet‐Mimicking Nanovehicles
Open accessAbstract
A core-shell nanovehicle coated with a platelet membrane (PM) is developed for targeted and site-specific delivery of an extracellularly active drug and an intracellular functional small-molecular drug, leading to enhanced antitumor efficacy. This PM-coated nanovehicle can also effectively eliminate the circulating tumor cells in vivo and inhibit development of tumor metastasis.
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Cites
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Erythrocyte membrane-camouflaged polymeric nanoparticles as a biomimetic delivery platform
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Cited by
Cancer nanomedicine: progress, challenges and opportunities
Shi, J., Kantoff, P. W., Wooster, R., & Farokhzad, O. C. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2016.108 · Cited by 5,873
Progress and challenges towards targeted delivery of cancer therapeutics
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Cell Membrane Coating Nanotechnology
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Smart nanoparticles for cancer therapy
Sun, L., Liu, H., Ye, Y., Lei, Y., Islam, R., Tan, S., Tong, R., Miao, Y.-B., & Cai, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01642-x · Cited by 1,073
Targeting drugs to tumours using cell membrane-coated nanoparticles
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Metadata
- Authors
- Hu, Q., Sun, W., Qian, C., Wang, C., Bomba, H. N., & Gu, Z.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2015-09-29
- Volume
- 27
- Issue
- 44
- Pages
- 7043-7050
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2102869104
- Cited by
- 630
- References
- 50
- FWCI
- 14.74
- Type
- journal article
- Language
- en
- Open access
- green
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- Hu, Q., Sun, W., Qian, C., Wang, C., Bomba, H. N., & Gu, Z. (2015). Anticancer Platelet‐Mimicking Nanovehicles. Advanced Materials. https://doi.org/10.1002/adma.201503323
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.