The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Biodegradable and Renal Clearable Inorganic Nanoparticles
Open accessAbstract
Personalized treatment plans for cancer therapy have been at the forefront of oncology research for many years. With the advent of many novel nanoplatforms, this goal is closer to realization today than ever before. Inorganic nanoparticles hold immense potential in the field of nano‐oncology, but have considerable toxicity concerns that have limited their translation to date. In this review, an overview of emerging biologically safe inorganic nanoplatforms is provided, along with considerations of the challenges that need to be overcome for cancer theranostics with inorganic nanoparticles to become a reality. The clinical and preclinical studies of both biodegradable and renal clearable inorganic nanoparticles are discussed, along with their implications.
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Cited by
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Inorganic nanomaterials with rapid clearance for biomedical applications
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Biosafety of mesoporous silica nanoparticles; towards clinical translation
Lérida-Viso, A., Estepa-Fernández, A., García-Fernández, A., Martí-Centelles, V., & Martínez-Máñez, R. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115049 · Cited by 279
A hypoxia responsive nanoassembly for tumor specific oxygenation and enhanced sonodynamic therapy
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Tumor-targeted biodegradable multifunctional nanoparticles for cancer theranostics
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Metadata
- Authors
- Ehlerding, E. B., Chen, F., & Cai, W.
- Venue
- Advanced Science
- Publisher
- Wiley
- Published
- 2015-10-27
- Volume
- 3
- Issue
- 2
- ISSN
- 2198-3844 (ISSN-L)
- OpenAlex
- W1834322579
- Cited by
- 277
- References
- 57
- FWCI
- 13.84
- Type
- journal article
- Language
- en
- Open access
- gold
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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.