Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 244

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Exploiting Intrinsic Nanoparticle Toxicity: The Pros and Cons of Nanoparticle-Induced Autophagy in Biomedical Research

Open access
Peynshaert, Karen, Manshian, Bella B., Joris, Freya, Braeckmans, Kevin, De Smedt, Stefaan C., Demeester, Jo, Soenen, Stefaan J.·2014·Chemical Reviews

Abstract

The variety of lipids and potential incorporation of proteins or other lipophilic compounds allows easy fine tuning of the chemical makeup of liposomes and their surface chemistry, which enables further modification of these vectors. NPs have been found to be capable of modulating autophagy, and it has been put forward that autophagy induction may be a potential common cellular reaction toward NMs as an attempt to eliminate the foreign material. Therefore, the indirect effect of autophagy modulation on potentially protecting the cells from NMinduced damage is an interesting research topic that is in full development. On the other hand, NMs able to modulate autophagy have been proposed as potential agents against autophagy-related diseases. Intriguingly, several studies have shown that certain NPs are even able to selectively overstimulate autophagy in cancerous cells, leading to cell death without significantly affecting the level of autophagy in noncancerous cells.

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 · 10.1021/cr400372p

Cites

37 of 37 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 37 references

Cited by

See all 244

Metadata

Authors
Peynshaert, K., Manshian, B. B., Joris, F., Braeckmans, K., De Smedt, S. C., Demeester, J., & Soenen, S. J.
Venue
Chemical Reviews
Published
2014-06-13
Volume
114
Issue
15
Pages
7581-7609
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W2016052666
Cited by
244
References
37
FWCI
3.57
Type
journal article
Language
en
Open access
green

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: Exploiting Intrinsic Nanoparticle Toxicity: The Pros and Cons of Nanoparticle-Induced Autophagy in Biomedical Research. https://app.cochat.ai/papers/10.1021/cr400372p
The paper
Peynshaert, K., Manshian, B. B., Joris, F., Braeckmans, K., De Smedt, S. C., Demeester, J., & Soenen, S. J. (2014). Exploiting Intrinsic Nanoparticle Toxicity: The Pros and Cons of Nanoparticle-Induced Autophagy in Biomedical Research. Chemical Reviews. https://doi.org/10.1021/cr400372p

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.