Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 391

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

Small extracellular vesicles isolation and separation: Current techniques, pending questions and clinical applications

Open access
Jia, Yuanwang, Yu, Li, Ma, Tieliang, Xu, Wenrong, Qian, Hui, Sun, Yaoxiang, Shi, Hui·2022·Theranostics

Abstract

Extracellular vesicles, especially small extracellular vesicles (sEVs) are now accepted as important messengers in cell-to-cell communication and as a promising drug delivery platform. They are involved in nearly all physiological and pathological processes and are involved in disease diagnosis and therapy. However, their heterogeneity of physicochemical properties and functions is not fully understood, which hinders further clinical applications. To obtain highly bioactive sEVs with both high yield and purity, will certainly facilitate their future study and application. This review informs up-to-date research on frequently-used and cutting-edge technologies of sEVs isolation and makes a deep comparison and analysis of different methods, including their advantages, limitations and applications. Pending questions about the inherent property of these small vesicles as well as isolation strategies are discussed. Additionally, an overview of their applications in disease diagnosis and treatment, including some of the on-going clinical trials, are also reviewed.

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 · 10.7150/thno.74305

Cites

193 of 193 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

1 retracted

Show all 193 references

Cited by

See all 391

Metadata

Authors
Jia, Y., Yu, L., Ma, T., Xu, W., Qian, H., Sun, Y., & Shi, H.
Venue
Theranostics
Published
2022
Volume
12
Issue
15
Pages
6548-6575
ISSN
1838-7640 (ISSN-L)
OpenAlex
W4295222612
Cited by
391
References
193
FWCI
19.89
Type
journal article
Language
en
Open access
gold

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: Small extracellular vesicles isolation and separation: Current techniques, pending questions and clinical applications. https://app.cochat.ai/papers/10.7150/thno.74305
The paper
Jia, Y., Yu, L., Ma, T., Xu, W., Qian, H., Sun, Y., & Shi, H. (2022). Small extracellular vesicles isolation and separation: Current techniques, pending questions and clinical applications. Theranostics. https://doi.org/10.7150/thno.74305

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.