Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 532

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Biocompatible Quantum Dots for Biological Applications

Open access
Rosenthal, Sandra J., Chang, Jerry C., Kovtun, Oleg, McBride, James R., Tomlinson, Ian D.·2011·Chemistry & Biology

Abstract

Semiconductor quantum dots are quickly becoming a critical diagnostic tool for discerning cellular function at the molecular level. Their high brightness, long-lasting, sizetunable, and narrow luminescence set them apart from conventional fluorescence dyes. Quantum dots are being developed for a variety of biologically oriented applications, including fluorescent assays for drug discovery, disease detection, single protein tracking, and intracellular reporting. This review introduces the science behind quantum dots and describes how they are made biologically compatible. Several applications are also included, illustrating strategies toward target specificity, and are followed by a discussion on the limitations of quantum dot approaches. The article is concluded with a look at the future direction of quantum dots.

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 · 10.1016/j.chembiol.2010.11.013

Cites

7 of 7 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 7 references

Cited by

See all 532

Metadata

Authors
Rosenthal, S. J., Chang, J. C., Kovtun, O., McBride, J. R., & Tomlinson, I. D.
Venue
Chemistry & Biology
Publisher
Elsevier BV
Published
2011-01
Volume
18
Issue
1
Pages
10-24
ISSN
1074-5521 (ISSN-L)
OpenAlex
W2138329421
Cited by
532
References
7
FWCI
21.38
Type
journal article
Language
en
Open access
bronze

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: Biocompatible Quantum Dots for Biological Applications. https://app.cochat.ai/papers/10.1016/j.chembiol.2010.11.013
The paper
Rosenthal, S. J., Chang, J. C., Kovtun, O., McBride, J. R., & Tomlinson, I. D. (2011). Biocompatible Quantum Dots for Biological Applications. Chemistry & Biology. https://doi.org/10.1016/j.chembiol.2010.11.013

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.