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Cited by 543

The DOI matches its Crossref record; 237 of the 237 references it cites were found in a registry or an index.

Fluorescent Probes for Disease Diagnosis

Open access
Wang, Xin, Ding, Qi, Groleau, Robin R., Wu, Luling, Mao, Yuantao, Che, Feida, Kotova, Oxana, Scanlan, Eoin M., Lewis, Simon E., Li, Ping, Tang, Bo, James, Tony D., Gunnlaugsson, Thorfinnur·2024·Chemical Reviews

Abstract

. In this review, we describe current fluorescent probes designed for the detection and quantification of key bioactive molecules associated with common diseases, such as organ damage, inflammation, cancers, cardiovascular diseases, and brain disorders. We emphasize the strategies behind the design of fluorescent probes capable of disease biomarker detection and diagnosis and cover some aspects of combined diagnostic/therapeutic strategies based on regulating disease-related molecules. This review concludes with a discussion of the challenges and outlook for fluorescent probes, highlighting future avenues of research that should enable these probes to achieve accurate detection and identification of disease-related biomarkers for biomedical research and clinical applications.

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Crossref · 10.1021/acs.chemrev.3c00776

Cites

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Citations

Cites

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Metadata

Authors
Wang, X., Ding, Q., Groleau, R. R., Wu, L., Mao, Y., Che, F., Kotova, O., Scanlan, E. M., Lewis, S. E., Li, P., Tang, B., James, T. D., & Gunnlaugsson, T.
Venue
Chemical Reviews
Published
2024-05-17
Volume
124
Issue
11
Pages
7106-7164
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W4396989210
Cited by
543
References
237
FWCI
12.64
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Fluorescent Probes for Disease Diagnosis. https://app.cochat.ai/papers/10.1021/acs.chemrev.3c00776
The paper
Wang, X., Ding, Q., Groleau, R. R., Wu, L., Mao, Y., Che, F., Kotova, O., Scanlan, E. M., Lewis, S. E., Li, P., Tang, B., James, T. D., & Gunnlaugsson, T. (2024). Fluorescent Probes for Disease Diagnosis. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.3c00776

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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.