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Cited by 456

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Metal–Organic Framework‐Based Nanomedicine Platforms for Drug Delivery and Molecular Imaging

Cai, Wen, Chu, Cheng‐Chao, Liu, Gang, Wáng, Yì‐Xiáng J.·2015·Small

Abstract

Metal–organic frameworks (MOFs), which are a unique class of hybrid porous materials built from metal ions and organic linkers, have attracted significant research interest in recent years. Compared with conventional porous materials, MOFs exhibit a variety of advantages, including a large surface area, a tunable pore size and shape, an adjustable composition and structure, biodegradability, and versatile functionalities, which enable MOFs to perform as promising platforms for drug delivery, molecular imaging, and theranostic applications. In this article, the recent research progress related to nanoscale metal–organic frameworks (NMOFs) is summarized with a focus on synthesis strategies and drug delivery, molecular imaging, and theranostic applications. The future challenges and opportunities of NMOFs are also discussed in the context of translational medical research. More effort is warranted to develop clinically translatable NMOFs for various applications in nanomedicine.

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Crossref · 10.1002/smll.201500802

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Metadata

Authors
Cai, W., Chu, C., Liu, G., & Wáng, Y. J.
Venue
Small
Publisher
Wiley
Published
2015-07-20
Volume
11
Issue
37
Pages
4806-4822
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2171160812
Cited by
456
References
2
FWCI
18.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metal–Organic Framework‐Based Nanomedicine Platforms for Drug Delivery and Molecular Imaging. https://app.cochat.ai/papers/10.1002/smll.201500802
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Cai, W., Chu, C., Liu, G., & Wáng, Y. J. (2015). Metal–Organic Framework‐Based Nanomedicine Platforms for Drug Delivery and Molecular Imaging. Small. https://doi.org/10.1002/smll.201500802

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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.