CoChat
Sign Up
Cited by 300Nanoparticle-Based Drug DeliveryCharacterization and Applications of Magnetic NanoparticlesMicro and Nano Robotics

The DOI matches its Crossref record; 190 of the 193 references it cites were found in a registry or an index.

A review of magnet systems for targeted drug delivery

Liu, Ya-Li, Chen, Da, Shang, Peng, Yin, Da-Chuan·2019·Journal of Controlled Release
DOI 10.1016/j.jconrel.2019.03.031
Open this paper in CoChat — free account

Abstract

Magnetic drug targeting is a method by which magnetic drug carriers in the body are manipulated by external magnetic fields to reach the target area. This method is potentially promising in applications for treatment of diseases like cancers, nervous system diseases, sudden sensorineural hearing loss, and so on, due to the advantages in that it can improve efficacy, reduce drug dosage and side effects. Therefore, it has received extensive attention in recent years. Successful magnetic drug targeting requires a good magnet system to guide the drug carriers to the target site. Up to date there have been many efforts to design the magnet systems for targeted drug delivery. However, there are few comprehensive reviews on these systems. Here we review the progresses made in this field. We summarized the systems already developed or proposed, and categorized them into two groups: static field magnet systems and varying field magnet systems. Based on the requirements for more powerful targeting performance, the prospects and the future research directions in this field are anticipated.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jconrel.2019.03.031

Cites

190 of 190 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Flagged first, then by citations

Show all 193 references

3 of the 193 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. Herea, 2019, Human adipose-derived stem cells loaded with drug-coated magnetic nanoparticles for in-vitro tumor cells targeting, materials science & engineering C, Mater. Biol. Appl., 94, 666

Cited by

Sorted by citations

See all 300

Related

Metadata

Authors
Liu, Y.-L., Chen, D., Shang, P., & Yin, D.-C.
Affiliations
Northwestern Polytechnical University (CN)
Corresponding author
Yin, Da-Chuan
ORCID
Venue
Journal of Controlled Release
Publisher
Elsevier BV
Published
2019-05
Volume
302
Pages
90-104
ISSN
0168-3659 (ISSN-L)
DOI
10.1016/j.jconrel.2019.03.031
OpenAlex
W2926277738
Cited by
298
References
193
Citations by year
2026: 17 · 2025: 49 · 2024: 42 · 2023: 49 · 2022: 46 · 2021: 51 · 2020: 36 · 2019: 8
FWCI
2.24
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Journal of Controlled Release (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (U1632126)
  • 921 project of China (17430206)
Topics
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
  • Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Micro and Nano Robotics
Keywords
magnetic drug delivery, targeted drug delivery, magnet system, magnetic drug carriers, external magnetic field, cancer therapy, neurological disorders, sudden sensorineural hearing loss
MeSH terms
Superconductivity, Animals, Delayed-Action Preparations, Drug Carriers, Humans, Neoplasms, Nervous System Diseases, Hearing Loss, Nanoparticles, Magnets, Magnetic Fields, Drug Liberation

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