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Cited by 360

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Well‐Defined, Reversible Boronate Crosslinked Nanocarriers for Targeted Drug Delivery in Response to Acidic pH Values and cis ‐Diols

Open access
Li, Yuanpei, Xiao, Wenwu, Xiao, Kai, Berti, Lorenzo, Luo, Juntao, Tseng, Harry P., Fung, Gabriel, Lam, Kit S.·2012·Angewandte Chemie International Edition

Abstract

Demand and deliver: Micelles reversibly crosslinked by boronate esters (see scheme) show in vitro and in vivo stability, and thus minimize premature drug release under physiological conditions. After reaching the tumor sites, drug (stars in scheme) release is activated by cleavage of the boronate esters by the acidic conditions around the tumor or in the target cells, or by the administration of mannitol.

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Crossref · 10.1002/anie.201107144

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Metadata

Authors
Li, Y., Xiao, W., Xiao, K., Berti, L., Luo, J., Tseng, H. P., Fung, G., & Lam, K. S.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2012-01-17
Volume
51
Issue
12
Pages
2864-2869
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W1990226821
Cited by
360
References
2
FWCI
15.87
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Well‐Defined, Reversible Boronate Crosslinked Nanocarriers for Targeted Drug Delivery in Response to Acidic pH Values and cis ‐Diols. https://app.cochat.ai/papers/10.1002/anie.201107144
The paper
Li, Y., Xiao, W., Xiao, K., Berti, L., Luo, J., Tseng, H. P., Fung, G., & Lam, K. S. (2012). Well‐Defined, Reversible Boronate Crosslinked Nanocarriers for Targeted Drug Delivery in Response to Acidic pH Values and cis ‐Diols. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201107144

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.