Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 399

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Endothelial activation and dysfunction in COVID-19: from basic mechanisms to potential therapeutic approaches

Open access
Jin, Yuefei, Ji, Wangquan, Yang, Haiyan, Chen, Shuaiyin, Zhang, Weiguo, Duan, Guangcai·2020·Signal Transduction and Targeted Therapy

Abstract

On 12 March 2020, the outbreak of coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization. As of 4 August 2020, more than 18 million confirmed infections had been reported globally. Most patients have mild symptoms, but some patients develop respiratory failure which is the leading cause of death among COVID-19 patients. Endothelial cells with high levels of angiotensin-converting enzyme 2 expression are major participants and regulators of inflammatory reactions and coagulation. Accumulating evidence suggests that endothelial activation and dysfunction participate in COVID-19 pathogenesis by altering the integrity of vessel barrier, promoting pro-coagulative state, inducing endothelial inflammation, and even mediating leukocyte infiltration. This review describes the proposed cellular and molecular mechanisms of endothelial activation and dysfunction during COVID-19 emphasizing the principal mediators and therapeutic implications.

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 · 10.1038/s41392-020-00454-7

Cites

17 of 17 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 17 references

Cited by

See all 399

Metadata

Authors
Jin, Y., Ji, W., Yang, H., Chen, S., Zhang, W., & Duan, G.
Venue
Signal Transduction and Targeted Therapy
Published
2020-12-24
Volume
5
Issue
1
Pages
293-293
ISSN
2059-3635 (ISSN-L)
OpenAlex
W3116488354
Cited by
399
References
17
FWCI
9.02
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: Endothelial activation and dysfunction in COVID-19: from basic mechanisms to potential therapeutic approaches. https://app.cochat.ai/papers/10.1038/s41392-020-00454-7
The paper
Jin, Y., Ji, W., Yang, H., Chen, S., Zhang, W., & Duan, G. (2020). Endothelial activation and dysfunction in COVID-19: from basic mechanisms to potential therapeutic approaches. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-020-00454-7

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.