The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Smart nanoparticles for drug delivery: Boundaries and opportunities
Open accessAbstract
Various pharmaceutical particles have been used in developing different drug delivery systems ranging from traditional tablets to state-of-the-art nanoparticle formulations. Nanoparticle formulations are unique in that the small size with huge surface area sometimes provides unique properties that larger particles and bulk materials do not have. Nanoparticle formulations have been used in improving the bioavailability of various drugs, in particular, poorly soluble drugs. Nanoparticle drug delivery systems have found their unique applications in targeted drug delivery to tumors. While nanoparticle formulations have been successful in small animal xenograft models, their translation to clinical applications has been very rare. Developing nanoparticle systems designed for targeted drug delivery, e.g., treating tumors in humans, requires clear understanding of the uniqueness of nanoparticles, as well as limitations and causes of failures in clinical applications. It also requires designing novel smart nanoparticle delivery systems that can increase the drug bioavailability and at the same time reduce the drug's side effects.
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Cites
Liposomal drug delivery systems: From concept to clinical applications
Allen, T. M., & Cullis, P. R. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.037 · Cited by 4,839
PEGylated PLGA nanoparticles as protein carriers: Synthesis, preparation and biodistribution in rats
Li, Y.-P., Pei, Y.-Y., Zhang, X.-Y., Gu, Z.-H., Zhou, Z.-H., Yuan, W.-F., Zhou, J.-J., Zhu, J.-H., & Gao, X.-J. (2001) · Journal of Controlled Release · doi:10.1016/s0168-3659(01)00218-8 · Cited by 540
Chen, H., Kim, S., Li, L., Wang, S., Park, K., & Cheng, J.-X. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707046105 · Cited by 394
Self-citationDrug nanocrystals: in vivo performances.
Gao, L., Liu, G., Ma, J., Wang, X., Zhou, L., & Li, X. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.03.013 · Cited by 347
Cited by
The Smart Drug Delivery System and Its Clinical Potential
Liu, D., Yang, F., Xiong, F., & Gu, N. (2016) · Theranostics · doi:10.7150/thno.14858 · Cited by 1,066
Smart nanocarrier-based drug delivery systems for cancer therapy and toxicity studies: A review
Hossen, S., Hossain, M. K., Basher, M. K., Mia, M. N. H., Rahman, M. T., & Uddin, M. J. (2019) · Journal of Advanced Research · doi:10.1016/j.jare.2018.06.005 · Cited by 998
Wang, W., Sun, C., Mao, L., Ma, P., Liu, F., Yang, J., & Gao, Y. (2016) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2016.07.004 · Cited by 784
Crosslinking biopolymers for biomedical applications
Reddy, N., Reddy, R., & Jiang, Q. (2015) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.03.008 · Cited by 683
El-Sawy, H. S., Al-Abd, A. M., Ahmed, T. A., El-Say, K. M., & Torchilin, V. P. (2018) · ACS Nano · doi:10.1021/acsnano.8b06104 · Cited by 431
Metadata
- Authors
- Lee, B. K., Yun, Y. H., & Park, K.
- Venue
- Chemical Engineering Science
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 125
- Pages
- 158-164
- ISSN
- 0009-2509 (ISSN-L)
- OpenAlex
- W2032961593
- Cited by
- 187
- References
- 4
- FWCI
- 2.80
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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