The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Sequential Intra‐Intercellular Nanoparticle Delivery System for Deep Tumor Penetration
Abstract
To achieve deep tumor penetration of large‐sized nanoparticles (NPs), we have developed a reversible swelling–shrinking nanogel in response to pH variation for a sequential intra‐intercellular NP delivery. The nanogel had a crosslinked polyelectrolyte core, consisting of N‐lysinal‐N′‐succinyl chitosan and poly(N‐isopropylacrylamide), and a crosslinked bovine serum albumin shell, which was able to swell in an acidic environment and shrink back under neutral conditions. The swelling resulted in a rapid release of the encapsulated chemotherapeutics in the cancer cells for efficient cytotoxicity. After being liberated from the dead cells, the contractive nanogel could infect neighboring cancer cells closer to the center of the tumor tissue.
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
Angiogenesis in cancer and other diseases
Carmeliet, P., & Jain, R. K. (2000) · Nature · doi:10.1038/35025220 · Cited by 9,070
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Doxil® — The first FDA-approved nano-drug: Lessons learned
Barenholz, Y. (. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.03.020 · Cited by 4,792
Tumour stem cells and drug resistance
Dean, M., Fojo, T., & Bates, S. (2005) · Nature reviews. Cancer · doi:10.1038/nrc1590 · Cited by 3,668
Doherty, G. J., & McMahon, H. T. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.78.081307.110540 · Cited by 3,075
The extracellular matrix: A dynamic niche in cancer progression
Lu, P., Weaver, V. M., & Werb, Z. (2012) · Journal of Cell Biology · doi:10.1083/jcb.201102147 · Cited by 3,024
Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size
Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., Terada, Y., Kano, M. R., Miyazono, K., Uesaka, M., et al. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.166 · Cited by 2,429
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
Albumin-bound formulation of paclitaxel (Abraxane® ABI-007) in the treatment of breast cancer
Tomao, S. (2009) · International Journal of Nanomedicine · doi:10.2147/ijn.s3061 · Cited by 695
Cited by
Polymeric Nanoparticles for Drug Delivery
Beach, M. A., Nayanathara, U., Gao, Y., Zhang, C., Xiong, Y., Wang, Y., & Such, G. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00705 · Cited by 1,155
Self-citationThe Smart Drug Delivery System and Its Clinical Potential
Liu, D., Yang, F., Xiong, F., & Gu, N. (2016) · Theranostics · doi:10.7150/thno.14858 · Cited by 1,066
Xue, J., Zhao, Z., Zhang, L., Xue, L., Shen, S., Wen, Y., Wei, Z., Wang, L., Kong, L., Sun, H., et al. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.54 · Cited by 959
Self-citationNanocomposite Hydrogels: 3D Polymer–Nanoparticle Synergies for On-Demand Drug Delivery
Merino, S., Martín, C., Kostarelos, K., Prato, M., & Vázquez, E. (2015) · ACS Nano · doi:10.1021/acsnano.5b01433 · Cited by 801
Li, H.-J., Du, J.-Z., Liu, J., Du, X.-J., Shen, S., Zhu, Y.-H., Wang, X., Ye, X., Nie, S., & Wang, J. (2016) · ACS Nano · doi:10.1021/acsnano.6b02326 · Cited by 537
Metadata
- Authors
- Ju, C., Mo, R., Xue, J., Zhang, L., Zhao, Z., Xue, L., Ping, Q., & Zhang, C.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2014-04-16
- Volume
- 53
- Issue
- 24
- Pages
- 6253-6258
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2099487519
- Cited by
- 229
- References
- 9
- FWCI
- 9.21
- 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: Sequential Intra‐Intercellular Nanoparticle Delivery System for Deep Tumor Penetration. https://app.cochat.ai/papers/10.1002/anie.201311227
- The paper
- Ju, C., Mo, R., Xue, J., Zhang, L., Zhao, Z., Xue, L., Ping, Q., & Zhang, C. (2014). Sequential Intra‐Intercellular Nanoparticle Delivery System for Deep Tumor Penetration. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201311227
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.
