The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Nonporous silica nanoparticles for nanomedicine application
Open accessAbstract
Summary Nanomedicine, the use of nanotechnology for biomedical applications, has potential to change the landscape of the diagnosis and therapy of many diseases. In the past several decades, the advancement in nanotechnology and material science has resulted in a large number of organic and inorganic nanomedicine platforms. Silica nanoparticles (NPs), which exhibit many unique properties, offer a promising drug delivery platform to realize the potential of nanomedicine. Mesoporous silica NPs have been extensively reviewed previously. Here we review the current state of the development and application of nonporous silica NPs for drug delivery and molecular imaging.
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
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
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558
Nanoparticle therapeutics: an emerging treatment modality for cancer
Davis, M. E., Chen, Z., & Shin, D. M. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2614 · Cited by 4,233
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
Brunner, T. J., Wick, P., Manser, P., Spohn, P., Grass, R. N., Limbach, L. K., Bruinink, A., & Stark, W. J. (2006) · Environmental Science & Technology · doi:10.1021/es052069i · Cited by 1,385
Neurotoxicity of Silica Nanoparticles: Brain Localization and Dopaminergic Neurons Damage Pathways
Wu, J., Wang, C., Sun, J., & Xue, Y. (2011) · ACS Nano · doi:10.1021/nn103530b · Cited by 286
Reproductive and developmental toxicity studies of manufactured nanomaterials
Ema, M., Kobayashi, N., Naya, M., Hanai, S., & Nakanishi, J. (2010) · Reproductive Toxicology · doi:10.1016/j.reprotox.2010.06.002 · Cited by 269
The Fate and Toxicity of Raman-Active Silica-Gold Nanoparticles in Mice
Thakor, A. S., Luong, R., Paulmurugan, R., Lin, F. I., Kempen, P., Zavaleta, C., Chu, P., Massoud, T. F., Sinclair, R., & Gambhir, S. S. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3001963 · Cited by 159
Targeted Delivery of Nanoparticles to Ischemic Muscle for Imaging and Therapeutic Angiogenesis
Kim, J., Cao, L., Shvartsman, D., Silva, E. A., & Mooney, D. J. (2011) · Nano Letters · doi:10.1021/nl103812a · Cited by 150
Juliano, R. L., Sunnarborg, S., DeSimone, J., & Haroon, Z. (2011) · Nanomedicine · doi:10.2217/nnm.10.142 · Cited by 14
Cited by
Toxicology of silica nanoparticles: an update
Murugadoss, S., Lison, D., Godderis, L., Van Den Brule, S., Mast, J., Brassinne, F., Sebaihi, N., & Hoet, P. H. (2017) · Archives of Toxicology · doi:10.1007/s00204-017-1993-y · Cited by 518
Nanomedicine scale-up technologies: feasibilities and challenges
Paliwal, R., Babu, R. J., & Palakurthi, S. (2014) · AAPS PharmSciTech · doi:10.1208/s12249-014-0177-9 · Cited by 466
Kundu, M., Chatterjee, S., Ghosh, N., Manna, P., Das, J., & Sil, P. C. (2020) · Materials Science and Engineering: C · doi:10.1016/j.msec.2020.111239 · Cited by 89
Medina Cruz, D., Tien-Street, W., Zhang, B., Huang, X., Vernet Crua, A., Nieto-Argüello, A., Cholula-Díaz, J. L., Martínez, L., Huttel, Y., González, M. U., et al. (2019) · Green Chemistry · doi:10.1039/c9gc00131j · Cited by 88
AbouAitah, K., Swiderska-Sroda, A., Farghali, A. A., Wojnarowicz, J., Stefanek, A., Gierlotka, S., Opalinska, A., Allayeh, A. K., Ciach, T., & Lojkowski, W. (2018) · Oncotarget · doi:10.18632/oncotarget.25470 · Cited by 83
Metadata
- Authors
- Tang, L., & Cheng, J.
- Venue
- Nano Today
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 8
- Issue
- 3
- Pages
- 290-312
- ISSN
- 1748-0132 (ISSN-L)
- OpenAlex
- W2143376609
- Cited by
- 488
- References
- 10
- FWCI
- 12.70
- Type
- journal article
- Language
- en
- Open access
- green
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: Nonporous silica nanoparticles for nanomedicine application. https://app.cochat.ai/papers/10.1016/j.nantod.2013.04.007
- The paper
- Tang, L., & Cheng, J. (2013). Nonporous silica nanoparticles for nanomedicine application. Nano Today. https://doi.org/10.1016/j.nantod.2013.04.007
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.
