The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Dual-functional liposomes based on pH-responsive cell-penetrating peptide and hyaluronic acid for tumor-targeted anticancer drug delivery
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Cites
Fischer, D., Li, Y., Ahlemeyer, B., Krieglstein, J., & Kissel, T. (2003) · Biomaterials · doi:10.1016/s0142-9612(02)00445-3 · Cited by 2,329
Tumor delivery of macromolecular drugs based on the EPR effect
Torchilin, V. (2011) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2010.03.011 · Cited by 2,032
Richard, J. P., Melikov, K., Vives, E., Ramos, C., Verbeure, B., Gait, M. J., Chernomordik, L. V., & Lebleu, B. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m209548200 · Cited by 1,446
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Polyarginine enters cells more efficiently than other polycationic homopolymers
Mitchell, D. J., Steinman, L., Kim, D. T., Fathman, C. G., & Rothbard, J. B. (2000) · The Journal of Peptide Research · doi:10.1034/j.1399-3011.2000.00723.x · Cited by 1,084
Torchilin, V. P., Rammohan, R., Weissig, V., & Levchenko, T. S. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.151247498 · Cited by 777
The magic glue hyaluronan and its eraser hyaluronidase: A biological overview
Girish, K. S., & Kemparaju, K. (2007) · Life Sciences · doi:10.1016/j.lfs.2007.02.037 · Cited by 674
Super pH-Sensitive Multifunctional Polymeric Micelle
Lee, E. S., Na, K., & Bae, Y. H. (2005) · Nano Letters · doi:10.1021/nl0479987 · Cited by 611
Self-assembled hyaluronic acid nanoparticles for active tumor targeting
Choi, K. Y., Chung, H., Min, K. H., Yoon, H. Y., Kim, K., Park, J. H., Kwon, I. C., & Jeong, S. Y. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2009.09.030 · Cited by 578
Li, J., Huo, M., Wang, J., Zhou, J., Mohammad, J. M., Zhang, Y., Zhu, Q., Waddad, A. Y., & Zhang, Q. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2011.11.022 · Cited by 468
Self-citation
Cited by
Controlled drug delivery vehicles for cancer treatment and their performance
Senapati, S., Mahanta, A. K., Kumar, S., & Maiti, P. (2018) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-017-0004-3 · Cited by 2,167
Mechanisms and biomaterials in pH-responsive tumour targeted drug delivery: A review
Kanamala, M., Wilson, W. R., Yang, M., Palmer, B. D., & Wu, Z. (2016) · Biomaterials · doi:10.1016/j.biomaterials.2016.01.061 · Cited by 1,004
Hyaluronic acid targeting of CD44 for cancer therapy: from receptor biology to nanomedicine
Mattheolabakis, G., Milane, L., Singh, A., & Amiji, M. M. (2015) · Journal of Drug Targeting · doi:10.3109/1061186x.2015.1052072 · Cited by 597
Application of hyaluronic acid as carriers in drug delivery
Huang, G., & Huang, H. (2018) · Drug Delivery · doi:10.1080/10717544.2018.1450910 · Cited by 474
Emerging Roles for Hyaluronidase in Cancer Metastasis and Therapy
(2014) · Advances in Cancer Research · doi:10.1016/b978-0-12-800092-2.00001-0 · Cited by 204
Metadata
- Authors
- Jiang, T., Zhang, Z., Zhang, Y., Lv, H., Zhou, J., Li, C., Hou, L., & Zhang, Q.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 33
- Issue
- 36
- Pages
- 9246-9258
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W2157428889
- Cited by
- 359
- References
- 55
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Dual-functional liposomes based on pH-responsive cell-penetrating peptide and hyaluronic acid for tumor-targeted anticancer drug delivery. https://app.cochat.ai/papers/10.1016/j.biomaterials.2012.09.027
- The paper
- Jiang, T., Zhang, Z., Zhang, Y., Lv, H., Zhou, J., Li, C., Hou, L., & Zhang, Q. (2012). Dual-functional liposomes based on pH-responsive cell-penetrating peptide and hyaluronic acid for tumor-targeted anticancer drug delivery. Biomaterials. https://doi.org/10.1016/j.biomaterials.2012.09.027
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.
