The DOI matches its Crossref record; 187 of the 187 references it cites were found in a registry or an index.
Evolution of macromolecular complexity in drug delivery systems
Open accessAbstract
Designing therapeutics is a process with many challenges. Even if the first hurdle — designing a drug that modulates the action of a particular biological target in vitro — is overcome, selective delivery to that target in vivo presents a major barrier. Side-effects can, in many cases, result from the need to use higher doses without targeted delivery. However, the established use of macromolecules to encapsulate or conjugate drugs can provide improved delivery, and stands to enable better therapeutic outcomes. In this Review, we discuss how drug delivery approaches have evolved alongside our ability to prepare increasingly complex macromolecular architectures. We examine how this increased complexity has overcome the challenges of drug delivery and discuss its potential for fulfilling unmet needs in nanomedicine.
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Cancer nanomedicine: progress, challenges and opportunities
Shi, J., Kantoff, P. W., Wooster, R., & Farokhzad, O. C. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2016.108 · Cited by 5,873
Self-citationRecent advances with liposomes as pharmaceutical carriers
Torchilin, V. P. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1632 · Cited by 5,282
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
Biodegradable polymers as biomaterials
Nair, L. S., & Laurencin, C. T. (2007) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2007.05.017 · Cited by 4,416
Biodegradable polymeric nanoparticles as drug delivery devices
Soppimath, K. S., Aminabhavi, T. M., Kulkarni, A. R., & Rudzinski, W. E. (2001) · Journal of Controlled Release · doi:10.1016/s0168-3659(00)00339-4 · Cited by 3,549
Poly(ethylene glycol) in Drug Delivery: Pros and Cons as Well as Potential Alternatives
Knop, K., Hoogenboom, R., Fischer, D., & Schubert, U. S. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200902672 · Cited by 3,533
Long-Circulating and Target-Specific Nanoparticles: Theory to Practice
Moghimi, S. M., Hunter, A. C., & Murray, J. C. (2001) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01494-7 · Cited by 3,515
Block copolymer micelles for drug delivery: design, characterization and biological significance
Kataoka, K., Harada, A., & Nagasaki, Y. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00124-1 · Cited by 3,506
Biodegradable nanoparticles for drug and gene delivery to cells and tissue
Panyam, J., & Labhasetwar, V. (2003) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(02)00228-4 · Cited by 3,361
Kamaly, N., Yameen, B., Wu, J., & Farokhzad, O. C. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00346 · Cited by 3,070
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Cited by
Polymeric Nanoparticles for Drug Delivery
Beach, M. A., Nayanathara, U., Gao, Y., Zhang, C., Xiong, Y., Wang, Y., & Such, G. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00705 · Cited by 1,155
Advances in Biomaterials for Drug Delivery
Fenton, O. S., Olafson, K. N., Pillai, P. S., Mitchell, M. J., & Langer, R. (2018) · Advanced Materials · doi:10.1002/adma.201705328 · Cited by 855
Self-citationPrecise nanomedicine for intelligent therapy of cancer
Chen, H., Gu, Z., An, H., Chen, C., Chen, J., Cui, R., Chen, S., Chen, W., Chen, X., Chen, X., et al. (2018) · Science China Chemistry · doi:10.1007/s11426-018-9397-5 · Cited by 409
Drug delivery systems for programmed and on-demand release
Davoodi, P., Lee, L. Y., Xu, Q., Sunil, V., Sun, Y., Soh, S., & Wang, C.-H. (2018) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.07.002 · Cited by 353
Chen, S., Zhong, Y., Fan, W., Xiang, J., Wang, G., Zhou, Q., Wang, J., Geng, Y., Sun, R., Zhang, Z., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00701-4 · Cited by 325
Metadata
- Authors
- Kakkar, A., Traverso, G., Farokhzad, O. C., Weissleder, R., & Langer, R.
- Venue
- Nature Reviews Chemistry
- Published
- 2017-08-09
- Volume
- 1
- Issue
- 8
- ISSN
- 2397-3358 (ISSN-L)
- OpenAlex
- W2744506252
- Cited by
- 320
- References
- 187
- FWCI
- 2.26
- 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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