The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ultrasmall Au10−12(SG)10−12 Nanomolecules for High Tumor Specificity and Cancer Radiotherapy
Open accessAbstract
Radiosensitizers can increase local treatment efficacy under a relatively low and safe radiation dose, thereby facilitating tumor eradication and minimizing side effects. Here, a new class of radiosensitizers is reported, which contain several gold (Au) atoms embedded inside a peptide shell (e.g., Au10-12 (SG)10-12 ) and can achieve ultrahigh tumor uptake (10.86 SUV at 24 h post injection) and targeting specificity, efficient renal clearance, and high radiotherapy enhancement.
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
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
Cited by
Emerging Nanotechnology and Advanced Materials for Cancer Radiation Therapy
Song, G., Cheng, L., Chao, Y., Yang, K., & Liu, Z. (2017) · Advanced Materials · doi:10.1002/adma.201700996 · Cited by 771
Song, G., Liang, C., Yi, X., Zhao, Q., Cheng, L., Yang, K., & Liu, Z. (2016) · Advanced Materials · doi:10.1002/adma.201504617 · Cited by 587
Song, G., Chen, Y., Liang, C., Yi, X., Liu, J., Sun, X., Shen, S., Yang, K., & Liu, Z. (2016) · Advanced Materials · doi:10.1002/adma.201602111 · Cited by 394
Neutrophil‐Based Drug Delivery Systems
Chu, D., Dong, X., Shi, X., Zhang, C., & Wang, Z. (2018) · Advanced Materials · doi:10.1002/adma.201706245 · Cited by 386
Yu, X., Li, A., Zhao, C., Yang, K., Chen, X., & Li, W. (2017) · ACS Nano · doi:10.1021/acsnano.7b00476 · Cited by 339
Metadata
- Authors
- Zhang, X., Luo, Z., Chen, J., Shen, X., Song, S., Sun, Y., Fan, S., Fan, F., Leong, D. T., & Xie, J.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2014-05-11
- Volume
- 26
- Issue
- 26
- Pages
- 4565-4568
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W1963635535
- Cited by
- 440
- References
- 1
- FWCI
- 33.91
- 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: Ultrasmall Au10−12(SG)10−12 Nanomolecules for High Tumor Specificity and Cancer Radiotherapy. https://app.cochat.ai/papers/10.1002/adma.201400866
- The paper
- Zhang, X., Luo, Z., Chen, J., Shen, X., Song, S., Sun, Y., Fan, S., Fan, F., Leong, D. T., & Xie, J. (2014). Ultrasmall Au10−12(SG)10−12 Nanomolecules for High Tumor Specificity and Cancer Radiotherapy. Advanced Materials. https://doi.org/10.1002/adma.201400866
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.
