The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Development of organic semiconducting materials for deep-tissue optical imaging, phototherapy and photoactivation
Open accessAbstract
Recent progress in developing organic semiconducting materials (OSMs) for deep-tissue optical imaging, cancer phototherapy and biological photoactivation is summarized.
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Cites
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Molecular Motion in Aggregates: Manipulating TICT for Boosting Photothermal Theranostics
Liu, S., Zhou, X., Zhang, H., Ou, H., Lam, J. W. Y., Liu, Y., Shi, L., Ding, D., & Tang, B. Z. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.8b13889 · Cited by 647
Immune Cell Membrane‐Coated Biomimetic Nanoparticles for Targeted Cancer Therapy
Oroojalian, F., Beygi, M., Baradaran, B., Mokhtarzadeh, A., & Shahbazi, M. (2021) · Small · doi:10.1002/smll.202006484 · Cited by 528
Li, Y., Cai, Z., Liu, S., Zhang, H., Wong, S. T. H., Lam, J. W. Y., Kwok, R. T. K., Qian, J., & Tang, B. Z. (2020) · Nature Communications · doi:10.1038/s41467-020-15095-1 · Cited by 464
Phototherapy in cancer treatment: strategies and challenges
Cai, Y., Chai, T., Nguyen, W., Liu, J., Xiao, E., Ran, X., Ran, Y., Du, D., Chen, W., & Chen, X. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02140-y · Cited by 453
Semiconducting Polymer Nanomaterials as Near-Infrared Photoactivatable Protherapeutics for Cancer
Li, J., & Pu, K. (2020) · Accounts of Chemical Research · doi:10.1021/acs.accounts.9b00569 · Cited by 412
Self-citation
Metadata
- Authors
- Li, J., & Pu, K.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 48
- Issue
- 1
- Pages
- 38-71
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2898638931
- Cited by
- 1,168
- References
- 11
- FWCI
- 5.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
