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Cited by 282

The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.

Metal-Organic Framework (MOF)-Based Drug Delivery

Cao, Jian, Li, Xuejiao, Tian, Hongqi·2020·Current Medicinal Chemistry

Abstract

Background: Developing a controllable drug delivery system is imperative and important to reduce side effects and enhance the therapeutic efficacy of drugs. Metal-organic frameworks (MOFs) an emerging class of hybrid porous materials built from metal ions or clusters bridged by organic linkers have attracted increasing attention in the recent years owing to the unique physical structures possessed, and the potential for vast applications. The superior properties of MOFs, such as well-defined pore aperture, tailorable composition and structure, tunable size, versatile functionality, high agent loading, and improved biocompatibility, have made them promising candidates as drug delivery hosts. MOFs for drug delivery is of great interest and many very promising results have been found, indicating that these porous solids exhibit several advantages over existing systems. Objective: This review highlights the latest advances in the synthesis, functionalization, and applications of MOFs in drug delivery, and has classified them using drug loading strategies. Finally, challenges and future perspectives in this research area are also outlined.

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Metadata

Authors
Cao, J., Li, X., & Tian, H.
Venue
Current Medicinal Chemistry
Published
2020-10-28
Volume
27
Issue
35
Pages
5949-5969
ISSN
0929-8673 (ISSN-L)
OpenAlex
W2949484779
Cited by
282
References
113
FWCI
8.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal-Organic Framework (MOF)-Based Drug Delivery. https://app.cochat.ai/papers/10.2174/0929867326666190618152518
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Cao, J., Li, X., & Tian, H. (2020). Metal-Organic Framework (MOF)-Based Drug Delivery. Current Medicinal Chemistry. https://doi.org/10.2174/0929867326666190618152518

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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.