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Cited by 2,261

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 access
Bozzuto, Giuseppina, Molinari, Agnese·2015·International Journal of Nanomedicine

Abstract

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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Metadata

Authors
Bozzuto, G., & Molinari, A.
Venue
International Journal of Nanomedicine
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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CoChat. (2026). Citation check: Liposomes as nanomedical devices. https://app.cochat.ai/papers/10.2147/ijn.s68861
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Bozzuto, G., & Molinari, A. (2015). Liposomes as nanomedical devices. International Journal of Nanomedicine. https://doi.org/10.2147/ijn.s68861

Data sources

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.