The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Cancer biomarker detection: recent achievements and challenges
Abstract
We provide an overview covering the existing challenges and latest developments in achieving high selectivity and sensitivity cancer-biomarker detection.
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Citations
Cites
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Electrochemical Biosensors - Sensor Principles and Architectures
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An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
Newman, A. M., Bratman, S. V., To, J., Wynne, J. F., Eclov, N. C. W., Modlin, L. A., Liu, C. L., Neal, J. W., Wakelee, H. A., Merritt, R. E., et al. (2014) · Nature Medicine · doi:10.1038/nm.3519 · Cited by 2,220
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Sensors for Breath Testing: From Nanomaterials to Comprehensive Disease Detection
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Cited by
Recent Strategies to Develop Innovative Photosensitizers for Enhanced Photodynamic Therapy
Pham, T. C., Nguyen, V.-N., Choi, Y., Lee, S., & Yoon, J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00381 · Cited by 1,813
Song, G., Liang, C., Yi, X., Zhao, Q., Cheng, L., Yang, K., & Liu, Z. (2016) · Advanced Materials · doi:10.1002/adma.201504617 · Cited by 587
Circulating Tumor DNA—A Novel Biomarker of Tumor Progression and Its Favorable Detection Techniques
Wen, X., Pu, H., Liu, Q., Guo, Z., & Luo, D. (2022) · Cancers · doi:10.3390/cancers14246025 · Cited by 99
Bai, H., Liu, Z., Zhang, T., Du, J., Zhou, C., He, W., Chau, J. H. C., Kwok, R. T. K., Lam, J. W. Y., & Tang, B. Z. (2020) · ACS Nano · doi:10.1021/acsnano.0c03404 · Cited by 89
Wang, Y., Zhao, G., Liu, Y., Wang, R., Xing, Y., Dou, K., & Yu, F. (2025) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2024.137005 · Cited by 16
Metadata
- Authors
- Wu, L., & Qu, X.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 44
- Issue
- 10
- Pages
- 2963-2997
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2004694682
- Cited by
- 1,214
- References
- 13
- FWCI
- 5.59
- 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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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.