The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Perylene‐Diimide‐Based Nanoparticles as Highly Efficient Photoacoustic Agents for Deep Brain Tumor Imaging in Living Mice
Open accessAbstract
In order to promote preclinical and clinical applications of photoacoustic imaging, novel photoacoustic contrast agents are highly desired for molecular imaging of diseases, especially for deep tumor imaging. Here, perylene-3,4,9,10-tetracarboxylic diiimide-based near-infrared-absorptive organic nanoparticles are reported as an efficient agent for photoacoustic imaging of deep brain tumors in living mice with enhanced permeability and retention effect.
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
Photoacoustic tomography: In vivo imaging from organelles to organs
Wang, L. V., & Hu, S. (2012) · Science · doi:10.1126/science.1216210 · Cited by 4,331
Longmire, M., Choyke, P. L., & Kobayashi, H. (2008) · Nanomedicine · doi:10.2217/17435889.3.5.703 · Cited by 2,149
Synthesis, Functionalization, and Biomedical Applications of Multifunctional Magnetic Nanoparticles
Hao, R., Xing, R., Xu, Z., Hou, Y., Gao, S., & Sun, S. (2010) · Advanced Materials · doi:10.1002/adma.201000260 · Cited by 1,372
Carbon nanotubes as photoacoustic molecular imaging agents in living mice
De La Zerda, A., Zavaleta, C., Keren, S., Vaithilingam, S., Bodapati, S., Liu, Z., Levi, J., Smith, B. R., Ma, T.-J., Oralkan, O., et al. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.231 · Cited by 1,271
Self-citationSemiconducting polymer nanoparticles as photoacoustic molecular imaging probes in living mice
Pu, K., Shuhendler, A. J., Jokerst, J. V., Mei, J., Gambhir, S. S., Bao, Z., & Rao, J. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2013.302 · Cited by 1,185
Kircher, M. F., de la Zerda, A., Jokerst, J. V., Zavaleta, C. L., Kempen, P. J., Mittra, E., Pitter, K., Huang, R., Campos, C., Habte, F., et al. (2012) · Nature Medicine · doi:10.1038/nm.2721 · Cited by 1,064
Ku, G., Zhou, M., Song, S., Huang, Q., Hazle, J., & Li, C. (2012) · ACS Nano · doi:10.1021/nn302782y · Cited by 545
Yang, X., Skrabalak, S. E., Li, Z.-Y., Xia, Y., & Wang, L. V. (2007) · Nano Letters · doi:10.1021/nl072349r · Cited by 407
Song, K. H., Kim, C., Cobley, C. M., Xia, Y., & Wang, L. V. (2009) · Nano Letters · doi:10.1021/nl802746w · Cited by 377
Photoacoustic imaging of living mouse brain vasculature using hollow gold nanospheres
Lu, W., Huang, Q., Ku, G., Wen, X., Zhou, M., Guzatov, D., Brecht, P., Su, R., Oraevsky, A., Wang, L. V., et al. (2010) · Biomaterials · doi:10.1016/j.biomaterials.2009.12.007 · Cited by 325
Cited by
Polymeric Nanostructures for Imaging and Therapy
Elsabahy, M., Heo, G. S., Lim, S.-M., Sun, G., & Wooley, K. L. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00135 · Cited by 508
Sheng, Z., Guo, B., Hu, D., Xu, S., Wu, W., Liew, W. H., Yao, K., Jiang, J., Liu, C., Zheng, H., et al. (2018) · Advanced Materials · doi:10.1002/adma.201800766 · Cited by 445
Wang, Q., Dai, Y., Xu, J., Cai, J., Niu, X., Zhang, L., Chen, R., Shen, Q., Huang, W., & Fan, Q. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201901480 · Cited by 369
Self-citationGathering brings strength: How organic aggregates boost disease phototheranostics
Qi, J., Ou, H., Liu, Q., & Ding, D. (2021) · Aggregate · doi:10.1002/agt2.25 · Cited by 284
Drug Delivery to the Brain across the Blood–Brain Barrier Using Nanomaterials
Tsou, Y., Zhang, X., Zhu, H., Syed, S., & Xu, X. (2017) · Small · doi:10.1002/smll.201701921 · Cited by 258
Metadata
- Authors
- Fan, Q., Cheng, K., Yang, Z., Zhang, R., Yang, M., Hu, X., Ma, X., Bu, L., Lu, X., Xiong, X., Huang, W., Zhao, H., & Cheng, Z.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2014-11-06
- Volume
- 27
- Issue
- 5
- Pages
- 843-847
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2169436408
- Cited by
- 264
- References
- 24
- FWCI
- 10.43
- 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: Perylene‐Diimide‐Based Nanoparticles as Highly Efficient Photoacoustic Agents for Deep Brain Tumor Imaging in Living Mice. https://app.cochat.ai/papers/10.1002/adma.201402972
- The paper
- Fan, Q., Cheng, K., Yang, Z., Zhang, R., Yang, M., Hu, X., Ma, X., Bu, L., Lu, X., Xiong, X., Huang, W., Zhao, H., & Cheng, Z. (2015). Perylene‐Diimide‐Based Nanoparticles as Highly Efficient Photoacoustic Agents for Deep Brain Tumor Imaging in Living Mice. Advanced Materials. https://doi.org/10.1002/adma.201402972
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.
