Cited by 375Extracellular vesicles in diseaseNanoparticle-Based Drug DeliveryNanoplatforms for cancer theranostics

The DOI matches its Crossref record; 259 of the 261 references it cites were found in a registry or an index.

Extracellular vesicles: A bright star of nanomedicine

Open access

Abstract

Extracellular vesicles (EVs) have unique structural, compositional, and morphological characteristics as well as predominant physiochemical stability and biocompatibility properties. They play a crucial role in pathophysiological regulation, and also have broad prospects for clinical application in the diagnosis, prognosis, and therapy of disease, and tissue regeneration and repair. Herein, the biosynthesis and physiological functions and current methods for separation and identification of EVs are summarized. Specifically, engineered EVs may be used to enhance targeted therapy in cancer and repair damaged tissues, and they may be developed as an individualized imaging diagnostic reagent, among other potential applications. We will focus on reviewing recent studies on engineered EVs in which alterations enhanced their therapeutic capability or diagnostic imaging potential via physical, chemical, and biological modification approaches. This review will clarify the superior biological functions and powerful therapeutic potential of EVs, particularly with regard to new designs based on EVs and their utilization in a new generation of nanomedicine diagnosis and treatment platforms.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.biomaterials.2020.120467

Cites

259 of 259 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

1 retracted

Items 201–259 of 259

Flagged first, then by citations

2 of the 261 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Skotland, 1990, 70, 122
  2. Li, 2020, Engineering macrophage-derived exosomes for targeted chemotherapy of triple-negative breast cancer, Nanoscale, 12, 10854, 10.1039/D0NR00523A · DOI

Cited by

Sorted by citations

See all 375

Metadata

Authors
Wu, P., Zhang, B., Ocansey, D. K. W., Xu, W., & Qian, H.
Affiliations
  • Jiangsu University (CN)
  • Affiliated Hospital of Jining Medical University (CN)
Corresponding author
  • Xu, Wenrong
  • Qian, Hui
Venue
Biomaterials
Publisher
Elsevier BV
Published
2021-02
Volume
269
Pages
120467
ISSN
0142-9612 (ISSN-L)
OpenAlex
W3096805091
Cited by
368
References
261
Citations by year
2026: 38 · 2025: 51 · 2024: 72 · 2023: 87 · 2022: 74 · 2021: 44
FWCI
5.10
Type
journal article
Language
en
Open access
Locations
  • Biomaterials (acceptedVersion)
  • PubMed (publishedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Funders
  • Jiangsu Provincial Key Research and Development Program
  • National Natural Science Foundation of China
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
Keywords
extracellular vesicles, engineered extracellular vesicles, nanomedicine, targeted cancer therapy, tissue regeneration, diagnostic imaging, disease diagnosis and prognosis
MeSH terms
Extracellular Vesicles, Humans, Neoplasms, Nanomedicine

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