The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Detection of cancer biomarkers in serum using a hybrid mechanical and optoplasmonic nanosensor
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Citations
Cites
Biosensing with plasmonic nanosensors
Anker, J. N., Hall, W. P., Lyandres, O., Shah, N. C., Zhao, J., & Van Duyne, R. P. (2008) · Nature Materials · doi:10.1038/nmat2162 · Cited by 6,786
Localized Surface Plasmon Resonance Sensors
Mayer, K. M., & Hafner, J. H. (2011) · Chemical Reviews · doi:10.1021/cr100313v · Cited by 4,350
Translating Biomolecular Recognition into Nanomechanics
Fritz, J., Baller, M. K., Lang, H. P., Rothuizen, H., Vettiger, P., Meyer, E., -J. Güntherodt, H., Gerber, C., & Gimzewski, J. K. (2000) · Science · doi:10.1126/science.288.5464.316 · Cited by 1,646
A nanomechanical mass sensor with yoctogram resolution
Chaste, J., Eichler, A., Moser, J., Ceballos, G., Rurali, R., & Bachtold, A. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.42 · Cited by 1,034
Making it stick: convection, reaction and diffusion in surface-based biosensors
Squires, T. M., Messinger, R. J., & Manalis, S. R. (2008) · Nature Biotechnology · doi:10.1038/nbt1388 · Cited by 986
Comparative advantages of mechanical biosensors
Arlett, J. L., Myers, E. B., & Roukes, M. L. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.44 · Cited by 966
Mining the plasma proteome for cancer biomarkers
Hanash, S. M., Pitteri, S. J., & Faca, V. M. (2008) · Nature · doi:10.1038/nature06916 · Cited by 891
Plasmonic ELISA for the ultrasensitive detection of disease biomarkers with the naked eye
de la Rica, R., & Stevens, M. M. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.186 · Cited by 873
Ultimate limits to inertial mass sensing based upon nanoelectromechanical systems
Ekinci, K. L., Yang, Y. T., & Roukes, M. L. (2004) · Journal of Applied Physics · doi:10.1063/1.1642738 · Cited by 695
Cantilever-like micromechanical sensors
Boisen, A., Dohn, S., Keller, S. S., Schmid, S., & Tenje, M. (2011) · Reports on Progress in Physics · doi:10.1088/0034-4885/74/3/036101 · Cited by 566
Cited by
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
Adir, O., Poley, M., Chen, G., Froim, S., Krinsky, N., Shklover, J., Shainsky‐Roitman, J., Lammers, T., & Schroeder, A. (2020) · Advanced Materials · doi:10.1002/adma.201901989 · Cited by 496
Highly Sensitive and Multiplexed Protein Measurements
Cohen, L., & Walt, D. R. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00257 · Cited by 294
Wu, S., Liu, X., Zhou, X., Liang, X. M., Gao, D., Liu, H., Zhao, G., Zhang, Q., & Wu, X. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.09.024 · Cited by 64
Metadata
- Authors
- Kosaka, P. M., Pini, V., Ruz, J. J., da Silva, R. A., González, M. U., Ramos, D., Calleja, M., & Tamayo, J.
- Venue
- Nature Nanotechnology
- Published
- 2014-11-02
- Volume
- 9
- Issue
- 12
- Pages
- 1047-1053
- ISSN
- 1748-3387 (ISSN-L)
- 1748-3395
- OpenAlex
- W2088776590
- Cited by
- 278
- References
- 30
- FWCI
- 9.86
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Detection of cancer biomarkers in serum using a hybrid mechanical and optoplasmonic nanosensor. https://app.cochat.ai/papers/10.1038/nnano.2014.250
- The paper
- Kosaka, P. M., Pini, V., Ruz, J. J., da Silva, R. A., González, M. U., Ramos, D., Calleja, M., & Tamayo, J. (2014). Detection of cancer biomarkers in serum using a hybrid mechanical and optoplasmonic nanosensor. Nature Nanotechnology. https://doi.org/10.1038/nnano.2014.250
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.
