The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Silicon nanowires-based highly-efficient SERS-active platform for ultrasensitive DNA detection
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Citations
Cites
Probing Single Molecules and Single Nanoparticles by Surface-Enhanced Raman Scattering
Nie, S., & Emory, S. R. (1997) · Science · doi:10.1126/science.275.5303.1102 · Cited by 10,238
Single Molecule Detection Using Surface-Enhanced Raman Scattering (SERS)
Kneipp, K., Wang, Y., Kneipp, H., Perelman, L. T., Itzkan, I., Dasari, R. R., & Feld, M. S. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.1667 · Cited by 6,816
Shell-isolated nanoparticle-enhanced Raman spectroscopy
Li, J. F., Huang, Y. F., Ding, Y., Yang, Z. L., Li, S. B., Zhou, X. S., Fan, F. R., Zhang, W., Zhou, Z. Y., Wu, D. Y., et al. (2010) · Nature · doi:10.1038/nature08907 · Cited by 3,559
Self-citationNanoparticles with Raman Spectroscopic Fingerprints for DNA and RNA Detection
Cao, Y. C., Jin, R., & Mirkin, C. A. (2002) · Science · doi:10.1126/science.297.5586.1536 · Cited by 2,971
In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags
Qian, X., Peng, X.-H., Ansari, D. O., Yin-Goen, Q., Chen, G. Z., Shin, D. M., Yang, L., Young, A. N., Wang, M. D., & Nie, S. (2008) · Nature Biotechnology · doi:10.1038/nbt1377 · Cited by 2,201
Measurement of the Distribution of Site Enhancements in Surface-Enhanced Raman Scattering
Fang, Y., Seong, N.-H., & Dlott, D. D. (2008) · Science · doi:10.1126/science.1159499 · Cited by 1,146
Liu, J., & Lu, Y. (2006) · Nature Protocols · doi:10.1038/nprot.2006.38 · Cited by 1,126
Fan, C., Plaxco, K. W., & Heeger, A. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1633515100 · Cited by 1,043
Self-citationLi, W., Camargo, P. H. C., Lu, X., & Xia, Y. (2009) · Nano Letters · doi:10.1021/nl803621x · Cited by 623
The Synthesis of SERS-Active Gold Nanoflower Tags for In Vivo Applications
Xie, J., Zhang, Q., Lee, J. Y., & Wang, D. I. C. (2008) · ACS Nano · doi:10.1021/nn800442q · Cited by 622
Cited by
Multiplex in vitro detection using SERS
Laing, S., Gracie, K., & Faulds, K. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00644a · Cited by 361
Ngo, H. T., Gandra, N., Fales, A. M., Taylor, S. M., & Vo-Dinh, T. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.01.073 · Cited by 135
Ngo, H. T., Freedman, E., Odion, R. A., Strobbia, P., De Silva Indrasekara, A. S., Vohra, P., Taylor, S. M., & Vo-Dinh, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-21615-3 · Cited by 66
Metadata
- Authors
- He, Y., Su, S., Xu, T., Zhong, Y., Zapien, J. A., Li, J., Fan, C., & Lee, S.-T.
- Venue
- Nano Today
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 6
- Issue
- 2
- Pages
- 122-130
- ISSN
- 1748-0132 (ISSN-L)
- OpenAlex
- W2163944065
- Cited by
- 284
- References
- 32
- FWCI
- 9.59
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: Silicon nanowires-based highly-efficient SERS-active platform for ultrasensitive DNA detection. https://app.cochat.ai/papers/10.1016/j.nantod.2011.02.004
- The paper
- He, Y., Su, S., Xu, T., Zhong, Y., Zapien, J. A., Li, J., Fan, C., & Lee, S.-T. (2011). Silicon nanowires-based highly-efficient SERS-active platform for ultrasensitive DNA detection. Nano Today. https://doi.org/10.1016/j.nantod.2011.02.004
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.
