The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Natural Products in Cancer Therapy: Past, Present and Future
Open accessAbstract
Natural products, with remarkable chemical diversity, have been extensively investigated for their anticancer potential for more than a half-century. The collective efforts of the community have achieved the tremendous advancements, bringing natural products to clinical use and discovering new therapeutic opportunities, yet the challenges remain ahead. With remarkable changes in the landscape of cancer therapy and growing role of cutting-edge technologies, we may have come to a crossroads to revisit the strategies to understand nature products and to explore their therapeutic utility. This review summarizes the key advancements in nature product-centered cancer research and calls for the implementation of systematic approaches, new pharmacological models, and exploration of emerging directions to revitalize natural products search in cancer therapy.
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Cites
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Cited by
Zhu, Y., Ouyang, Z., Du, H., Wang, M., Wang, J., Sun, H., Kong, L., Xu, Q., Ma, H., & Sun, Y. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2022.08.022 · Cited by 414
Abdul-Aziz Ahmed, K., Jabbar, A. A. J., Abdulla, M. A., Zuhair Alamri, Z., Ain Salehen, N., Abdel Aziz Ibrahim, I., Almaimani, G., Bamagous, G. A., Almaimani, R. A., Almasmoum, H. A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-023-50947-y · Cited by 26
Zhang, C., Chen, W., Dong, T., Wang, Y., Yao, M., Xiao, W., & Li, B. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1141272 · Cited by 16
Metadata
- Authors
- Huang, M., Lu, J.-J., & Ding, J.
- Venue
- Natural Products and Bioprospecting
- Published
- 2021-01-03
- Volume
- 11
- Issue
- 1
- Pages
- 5-13
- ISSN
- 2192-2195 (ISSN-L)
- 2192-2209
- OpenAlex
- W3119787068
- Cited by
- 648
- References
- 52
- FWCI
- 27.71
- Type
- journal article
- Language
- en
- Open access
- diamond
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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.
