The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
Rare earth metal–organic frameworks (RE-MOFs): Synthesis, properties, and biomedical applications
Abstract
Abstract Rare earth metal–organic frameworks (RE-MOFs) have drawn a good deal of research interest due to their unique properties (e.g., luminescence, magneticity, and intrinsic porosity). As such, RE-MOFs are regarded as promising materials in diverse biomedical applications (e.g., diagnostic and therapeutic reagents). This review is organized to highlight the current progress in the synthesis of RE-MOF nanocrystals and their eminent characteristics for enhanced clinical applicability. In particular, the potential utility of RE-MOFs has been explored with particular emphasis on drug delivery, fluorescent/magnetic resonance imaging, and biomedical sensing fields based on a comparative evaluation of the related literature. Finally, the challenges and future outlook for RE-MOFs are discussed in relation to their design strategy for the safe and efficient utilization in biomedical fields.
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Citations
Cites
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RGD AND OTHER RECOGNITION SEQUENCES FOR INTEGRINS
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Cited by
Li, D., Yadav, A., Zhou, H., Roy, K., Thanasekaran, P., & Lee, C. (2024) · Global Challenges · doi:10.1002/gch2.202300244 · Cited by 437
Kaur, H., Devi, N., Siwal, S. S., Alsanie, W. F., Thakur, M. K., & Thakur, V. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07719 · Cited by 273
Metadata
- Authors
- Younis, S. A., Bhardwaj, N., Bhardwaj, S. K., Kim, K.-H., & Deep, A.
- Venue
- Coordination Chemistry Reviews
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 429
- Pages
- 213620
- ISSN
- 0010-8545 (ISSN-L)
- OpenAlex
- W3095060467
- Cited by
- 257
- References
- 149
- FWCI
- 17.05
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
