The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Nanotechnology in glucose monitoring: Advances and challenges in the last 10 years
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Citations
Cites
Haes, A. J., & Van Duyne, R. P. (2002) · Journal of the American Chemical Society · doi:10.1021/ja020393x · Cited by 2,057
Glucose Biosensors: An Overview of Use in Clinical Practice
Yoo, E.-H., & Lee, S.-Y. (2010) · Sensors · doi:10.3390/s100504558 · Cited by 1,137
Cowie, C. C., Rust, K. F., Byrd-Holt, D. D., Gregg, E. W., Ford, E. S., Geiss, L. S., Bainbridge, K. E., & Fradkin, J. E. (2010) · Diabetes Care · doi:10.2337/dc09-1524 · Cited by 689
Toward a Glucose Biosensor Based on Surface-Enhanced Raman Scattering
Shafer-Peltier, K. E., Haynes, C. L., Glucksberg, M. R., & Van Duyne, R. P. (2003) · Journal of the American Chemical Society · doi:10.1021/ja028255v · Cited by 653
Impact of Recent Increase in Incidence on Future Diabetes Burden
Narayan, K. M. V., Boyle, J. P., Geiss, L. S., Saaddine, J. B., & Thompson, T. J. (2006) · Diabetes Care · doi:10.2337/dc06-1136 · Cited by 602
A contact lens with embedded sensor for monitoring tear glucose level
Yao, H., Shum, A. J., Cowan, M., Lähdesmäki, I., & Parviz, B. A. (2011) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2010.12.042 · Cited by 513
Yonzon, C. R., Haynes, C. L., Zhang, X., Walsh, & Van Duyne, R. P. (2004) · Analytical Chemistry · doi:10.1021/ac035134k · Cited by 376
Cited by
Mouthguard biosensor with telemetry system for monitoring of saliva glucose: A novel cavitas sensor
Arakawa, T., Kuroki, Y., Nitta, H., Chouhan, P., Toma, K., Sawada, S.-I., Takeuchi, S., Sekita, T., Akiyoshi, K., Minakuchi, S., et al. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.12.014 · Cited by 356
Nanomaterial-based electrochemical biosensors for food safety and quality assessment
Dridi, F., Marrakchi, M., Gargouri, M., Saulnier, J., Jaffrezic-Renault, N., & Lagarde, F. (2017) · Nanobiosensors · doi:10.1016/b978-0-12-804301-1.00005-9 · Cited by 40
Metadata
- Authors
- Scognamiglio, V.
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 47
- Pages
- 12-25
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2093903390
- Cited by
- 266
- References
- 7
- FWCI
- 18.77
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Nanotechnology in glucose monitoring: Advances and challenges in the last 10 years. https://app.cochat.ai/papers/10.1016/j.bios.2013.02.043
- The paper
- Scognamiglio, V. (2013). Nanotechnology in glucose monitoring: Advances and challenges in the last 10 years. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2013.02.043
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.
