The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Liposomes as nanomedical devices
Open accessAbstract
Since their discovery in the 1960s, liposomes have been studied in depth, and they continue to constitute a field of intense research. Liposomes are valued for their biological and technological advantages, and are considered to be the most successful drug-carrier system known to date. Notable progress has been made, and several biomedical applications of liposomes are either in clinical trials, are about to be put on the market, or have already been approved for public use. In this review, we briefly analyze how the efficacy of liposomes depends on the nature of their components and their size, surface charge, and lipidic organization. Moreover, we discuss the influence of the physicochemical properties of liposomes on their interaction with cells, half-life, ability to enter tissues, and final fate in vivo. Finally, we describe some strategies developed to overcome limitations of the "first-generation" liposomes, and liposome-based drugs on the market and in clinical trials.
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Liposomes: Structure, composition, types, and clinical applications
Nsairat, H., Khater, D., Sayed, U., Odeh, F., Al Bawab, A., & Alshaer, W. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09394 · Cited by 1,561
Smart nanocarrier-based drug delivery systems for cancer therapy and toxicity studies: A review
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Adapting liposomes for oral drug delivery
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Croissant, J. G., Fatieiev, Y., Almalik, A., & Khashab, N. M. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700831 · Cited by 594
Metadata
- Authors
- Bozzuto, G., & Molinari, A.
- Venue
- International Journal of Nanomedicine
- Publisher
- Informa UK Limited
- Published
- 2015-02
- Volume
- 10
- Pages
- 975
- ISSN
- 1176-9114 (ISSN-L)
- 1178-2013
- OpenAlex
- W2051925512
- Cited by
- 2,261
- References
- 10
- FWCI
- 44.90
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.