Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 294

The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.

Liposome: composition, characterisation, preparation, and recent innovation in clinical applications

Ahmed, Kamel S., Hussein, Saied A., Ali, Abdelmoneim H., Korma, Sameh A., Lipeng, Qiu, Jinghua, Chen·2019·Journal of Drug Targeting

Abstract

In the last decades, pharmaceutical interested researches aimed to develop novel and innovative drug delivery techniques in the medical and pharmaceutical fields. Recently, phospholipid vesicles (Liposomes) are the most known versatile assemblies in the drug delivery systems. The discovery of liposomes arises from self-forming enclosed phospholipid bilayer upon coming in contact with the aqueous solution. Liposomes are uni or multilamellar vesicles consisting of phospholipids produced naturally or synthetically, which are readily non-toxic, biodegradable, and are readily produced on a large scale. Various phospholipids, for instance, soybean, egg yolk, synthetic, and hydrogenated phosphatidylcholine consider the most popular types used in different kinds of formulations. This review summarises liposomes composition, characterisation, methods of preparation, and their applications in different medical fields including cancer therapy, vaccine, ocular delivery, wound healing, and some dermatological applications.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/1061186x.2018.1527337

Cites

149 of 149 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 149 references

Cited by

See all 294

Metadata

Authors
Ahmed, K. S., Hussein, S. A., Ali, A. H., Korma, S. A., Lipeng, Q., & Jinghua, C.
Venue
Journal of Drug Targeting
Published
2018-10-15
Volume
27
Issue
7
Pages
742-761
ISSN
  • 1026-7158 (ISSN-L)
  • 1061-186X
  • 1029-2330
OpenAlex
W2891092376
Cited by
294
References
149
FWCI
5.88
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Liposome: composition, characterisation, preparation, and recent innovation in clinical applications. https://app.cochat.ai/papers/10.1080/1061186x.2018.1527337
The paper
Ahmed, K. S., Hussein, S. A., Ali, A. H., Korma, S. A., Lipeng, Q., & Jinghua, C. (2019). Liposome: composition, characterisation, preparation, and recent innovation in clinical applications. Journal of Drug Targeting. https://doi.org/10.1080/1061186x.2018.1527337

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.