The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Extreme sensitivity biosensing platform based on hyperbolic metamaterials
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CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
Poddubny, A., Iorsh, I., Belov, P., & Kivshar, Y. (2013) · Nature Photonics · doi:10.1038/nphoton.2013.243 · Cited by 2,156
Mid-infrared plasmonic biosensing with graphene
Rodrigo, D., Limaj, O., Janner, D., Etezadi, D., García de Abajo, F. J., Pruneri, V., & Altug, H. (2015) · Science · doi:10.1126/science.aab2051 · Cited by 1,462
Cited by
Plasmonic Surface Lattice Resonances: A Review of Properties and Applications
Kravets, V. G., Kabashin, A. V., Barnes, W. L., & Grigorenko, A. N. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00243 · Cited by 1,501
SERS-Activated Platforms for Immunoassay: Probes, Encoding Methods, and Applications
Wang, Z., Zong, S., Wu, L., Zhu, D., & Cui, Y. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00027 · Cited by 614
Plasmonic Biosensing: Focus Review
Mejía-Salazar, J. R., & Oliveira, O. N. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00359 · Cited by 544
Mechanisms and applications of terahertz metamaterial sensing: a review
Xu, W., Xie, L., & Ying, Y. (2017) · Nanoscale · doi:10.1039/c7nr03824k · Cited by 458
Refractive index sensor based on all-dielectric gradient metasurface
Rodionov, S. A., Remnev, M. A., & Klimov, V. V. (2019) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2019.100263 · Cited by 258
Metadata
- Authors
- Sreekanth, K. V., Alapan, Y., ElKabbash, M., Ilker, E., Hinczewski, M., Gurkan, U. A., De Luca, A., & Strangi, G.
- Venue
- Nature Materials
- Published
- 2016-03-28
- Volume
- 15
- Issue
- 6
- Pages
- 621-627
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W2319780958
- Cited by
- 777
- References
- 3
- FWCI
- 41.49
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Extreme sensitivity biosensing platform based on hyperbolic metamaterials. https://app.cochat.ai/papers/10.1038/nmat4609
- The paper
- Sreekanth, K. V., Alapan, Y., ElKabbash, M., Ilker, E., Hinczewski, M., Gurkan, U. A., De Luca, A., & Strangi, G. (2016). Extreme sensitivity biosensing platform based on hyperbolic metamaterials. Nature Materials. https://doi.org/10.1038/nmat4609
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.
