The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Applications and challenges of ultra-small particle size nanoparticles in tumor therapy
Abstract
With the development of nanotechnology, nanomedicines are widely used in tumor therapy. However, biological barriers in the delivery of nanoparticles still limit their application in tumor therapy. As one of the most fundamental properties of nanoparticles, particle size plays a crucial role in the process of the nanoparticles delivery process. It is difficult for large size nanoparticles with fixed size to achieve satisfactory outcomes in every process. In order to overcome the poor penetration of larger size, nanoparticles with ultra-small particle size are proposed, which are more conducive to deep tumor penetration and uniform drug distribution. In this review, the latest progresses and advantages of ultra-small nanoparticles are systematically summarized, the perspectives and challenges of ultra-small nanoparticles strategy for cancer treatment are also discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Factors affecting the clearance and biodistribution of polymeric nanoparticles
Alexis, F., Pridgen, E., Molnar, L. K., & Farokhzad, O. C. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800051m · Cited by 3,699
Targeting hypoxia in cancer therapy
Wilson, W. R., & Hay, M. P. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3064 · Cited by 3,172
Extracellular matrix structure
Theocharis, A. D., Skandalis, S. S., Gialeli, C., & Karamanos, N. K. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.11.001 · Cited by 2,598
High Interstitial Fluid Pressure - an Obstacle in Cancer Therapy
Heldin, C.-H., Rubin, K., Pietras, K., & Östman, A. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1456 · Cited by 2,222
Progress and challenges towards targeted delivery of cancer therapeutics
Rosenblum, D., Joshi, N., Tao, W., Karp, J. M., & Peer, D. (2018) · Nature Communications · doi:10.1038/s41467-018-03705-y · Cited by 2,220
Estimation of clinical trial success rates and related parameters
Wong, C. H., Siah, K. W., & Lo, A. W. (2019) · Biostatistics · doi:10.1093/biostatistics/kxx069 · Cited by 1,585
Endosomal escape pathways for delivery of biologicals
Varkouhi, A. K., Scholte, M., Storm, G., & Haisma, H. J. (2011) · Journal of Controlled Release · doi:10.1016/j.jconrel.2010.11.004 · Cited by 1,561
Cited by
Xu, M., Qi, Y., Liu, G., Song, Y., Jiang, X., & Du, B. (2023) · ACS Nano · doi:10.1021/acsnano.3c05853 · Cited by 632
Metadata
- Authors
- Xu, J., Song, M., Fang, Z., Zheng, L., Huang, X., & Liu, K.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 353
- Pages
- 699-712
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W4312083612
- Cited by
- 185
- References
- 19
- FWCI
- 7.92
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Applications and challenges of ultra-small particle size nanoparticles in tumor therapy. https://app.cochat.ai/papers/10.1016/j.jconrel.2022.12.028
- The paper
- Xu, J., Song, M., Fang, Z., Zheng, L., Huang, X., & Liu, K. (2023). Applications and challenges of ultra-small particle size nanoparticles in tumor therapy. Journal of Controlled Release. https://doi.org/10.1016/j.jconrel.2022.12.028
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.
