Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 525

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Oxidative Stress and Autophagy

Kiffin, Roberta, Bandyopadhyay, Urmi, Cuervo, Ana Maria·2006·Antioxidants & Redox Signaling

Abstract

Organisms respond to oxidative injury by orchestrating a stress response to prevent further damage. An increase in the intracellular levels of antioxidant agents, and at the same time the removal of already damaged components, are both part of the oxidative stress response. Lysosomes have been classically considered one of the main targets of the reactive oxygen species. In fact, the destabilization of the lysosomal membrane during oxidizing conditions promotes the leakage of the enzymes contained in these organelles and contributes to cellular damage. However, recent evidence supports a protective role of the lysosomal system, which can eliminate altered intracellular components through autophagy, at least in the first stages of oxidative injury. Consequently, activation of the main intracellular proteolytic systems, the ubiquitin/proteasome, and also the lysosomal/autophagic system occurs during the oxidative stress response. The opposing roles for the lysosomal system under oxidizing conditions are discussed in this review.

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 · 10.1089/ars.2006.8.152

Cites

10 of 10 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 10 references

Cited by

See all 525

Metadata

Authors
Kiffin, R., Bandyopadhyay, U., & Cuervo, A. M.
Venue
Antioxidants & Redox Signaling
Published
2006-01
Volume
8
Issue
1-2
Pages
152-162
ISSN
  • 1523-0864 (ISSN-L)
  • 1557-7716
OpenAlex
W2028532536
Cited by
525
References
10
FWCI
17.26
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: Oxidative Stress and Autophagy. https://app.cochat.ai/papers/10.1089/ars.2006.8.152
The paper
Kiffin, R., Bandyopadhyay, U., & Cuervo, A. M. (2006). Oxidative Stress and Autophagy. Antioxidants & Redox Signaling. https://doi.org/10.1089/ars.2006.8.152

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.