The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A microfluidic ExoSearch chip for multiplexed exosome detection towards blood-based ovarian cancer diagnosis
Open accessAbstract
Tumor-derived circulating exosomes, enriched with a group of tumor antigens, have been recognized as a promising biomarker source for cancer diagnosis via a less invasive procedure.
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Citations
Cites
1 retracted
Sample size estimation and power analysis for clinical research studies
Suresh, K., & Chandrashekara, S. (2012) · Journal of Human Reproductive Sciences · doi:10.4103/0974-1208.97779 · Cited by 1,024
RetractedExtracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
Melo, S. A., Luecke, L. B., Kahlert, C., Fernandez, A. F., Gammon, S. T., Kaye, J., LeBleu, V. S., Mittendorf, E. A., Weitz, J., Rahbari, N., et al. (2015) · Nature · doi:10.1038/nature14581 · Cited by 2,880
Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models
Zou, K. H., O’Malley, A. J., & Mauri, L. (2007) · Circulation · doi:10.1161/circulationaha.105.594929 · Cited by 1,473
Cited by
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Self-citationExosomes as a new frontier of cancer liquid biopsy
Yu, D., Li, Y., Wang, M., Gu, J., Xu, W., Cai, H., Fang, X., & Zhang, X. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01509-9 · Cited by 855
Extracellular vesicles: lipids as key components of their biogenesis and functions
Record, M., Silvente-Poirot, S., Poirot, M., & Wakelam, M. O. (2018) · Journal of Lipid Research · doi:10.1194/jlr.e086173 · Cited by 328
Shin, H., Jeong, H., Park, J., Hong, S., & Choi, Y. (2018) · ACS Sensors · doi:10.1021/acssensors.8b01047 · Cited by 246
Ramirez-Garrastacho, M., Bajo-Santos, C., Line, A., Martens-Uzunova, E. S., de la Fuente, J. M., Moros, M., Soekmadji, C., Tasken, K. A., & Llorente, A. (2022) · British Journal of Cancer · doi:10.1038/s41416-021-01610-8 · Cited by 130
Ko, J., Hemphill, M., Yang, Z., Sewell, E., Na, Y. J., Sandsmark, D. K., Haber, M., Fisher, S. A., Torre, E. A., Svane, K. C., et al. (2018) · Lab on a Chip · doi:10.1039/c8lc00672e · Cited by 89
Analysis of extracellular vesicles as emerging theranostic nanoplatforms
Xing, Y., Cheng, Z., Wang, R., Lv, C., James, T. D., & Yu, F. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213506 · Cited by 67
Bridging the gap: microfluidic devices for short and long distance cell–cell communication
Vu, T. Q., de Castro, R. M. B., & Qin, L. (2017) · Lab on a Chip · doi:10.1039/c6lc01367h · Cited by 63
Recent advances in microfluidic methods in cancer liquid biopsy
Iliescu, F. S., Poenar, D. P., Yu, F., Ni, M., Chan, K. H., Cima, I., Taylor, H. K., Cima, I., & Iliescu, C. (2019) · Biomicrofluidics · doi:10.1063/1.5087690 · Cited by 51
Cancer Extracellular Vesicles: Next-Generation Diagnostic and Drug Delivery Nanotools
Palazzolo, S., Memeo, L., Hadla, M., Duzagac, F., Steffan, A., Perin, T., Canzonieri, V., Tuccinardi, T., Caligiuri, I., & Rizzolio, F. (2020) · Cancers · doi:10.3390/cancers12113165 · Cited by 34
Recent advances in isolation and detection of exosomal microRNAs related to Alzheimer's disease
Pishbin, E., Sadri, F., Dehghan, A., Kiani, M. J., Hashemi, N., Zare, I., Mousavi, P., & Rahi, A. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115705 · Cited by 25
Liu, Y., Xia, Y., Smollar, J., Mao, W., & Wan, Y. (2021) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2021.188539 · Cited by 23
Empowering Exosomes with Aptamers for Precision Theranostics
Zheng, L., Li, J., Li, Y., Sun, W., Ma, L., Qu, F., & Tan, W. (2025) · Small Methods · doi:10.1002/smtd.202400551 · Cited by 21
Metadata
- Authors
- Zhao, Z., Yang, Y., Zeng, Y., & He, M.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2016
- Volume
- 16
- Issue
- 3
- Pages
- 489-496
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2176301470
- Cited by
- 684
- References
- 4
- FWCI
- 15.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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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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.
