The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Fluorescent Diagnostic Probes in Neurodegenerative Diseases
Abstract
Neurodegenerative diseases are debilitating disorders that feature progressive and selective loss of function or structure of anatomically or physiologically associated neuronal systems. Both chronic and acute neurodegenerative diseases are associated with high morbidity and mortality along with the death of neurons in different areas of the brain; moreover, there are few or no effective curative therapy options for treating these disorders. There is an urgent need to diagnose neurodegenerative disease as early as possible, and to distinguish between different disorders with overlapping symptoms that will help to decide the best clinical treatment. Recently, in neurodegenerative disease research, fluorescent‐probe‐mediated biomarker visualization techniques have been gaining increasing attention for the early diagnosis of neurodegenerative diseases. A survey of fluorescent probes for sensing and imaging biomarkers of neurodegenerative diseases is provided. These imaging probes are categorized based on the different potential biomarkers of various neurodegenerative diseases, and their advantages and disadvantages are discussed. Guides to develop new sensing strategies, recognition mechanisms, as well as the ideal features to further improve neurodegenerative disease fluorescence imaging are also explored.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mitochondrial Dysfunction and Oxidative Stress in Neurodegenerative Diseases
Lin, M. T., & Beal, M. F. (2006) · Nature · doi:10.1038/nature05292 · Cited by 6,455
Neurodegenerative diseases and oxidative stress
Barnham, K. J., Masters, C. L., & Bush, A. I. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1330 · Cited by 3,683
Protein aggregation and neurodegenerative disease
Ross, C. A., & Poirier, M. A. (2004) · Nature Medicine · doi:10.1038/nm1066 · Cited by 3,454
Molecular dissection of reactive astrogliosis and glial scar formation
Sofroniew, M. V. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.08.002 · Cited by 2,594
Oxidative stress in neurodegeneration: Cause or consequence?
Andersen, J. K. (2004) · Nature Medicine · doi:10.1038/nrn1434 · Cited by 1,869
Microglial Dysfunction and Defective β-Amyloid Clearance Pathways in Aging Alzheimer's Disease Mice
Hickman, S. E., Allison, E. K., & El Khoury, J. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0616-08.2008 · Cited by 1,329
Tau-targeting therapies for Alzheimer disease
Congdon, E. E., & Sigurdsson, E. M. (2018) · Nature Reviews Neurology · doi:10.1038/s41582-018-0013-z · Cited by 1,113
Small-Molecule Two-Photon Probes for Bioimaging Applications
Kim, H. M., & Cho, B. R. (2015) · Chemical Reviews · doi:10.1021/cr5004425 · Cited by 1,047
Microglial-produced nitric oxide and reactive nitrogen oxides mediate neuronal cell death
Boje, K. M., & Arora, P. K. (1992) · Brain Research · doi:10.1016/0006-8993(92)91004-x · Cited by 944
Relationship of microglia and astrocytes to amyloid deposits of Alzheimer disease
Itagaki, S., McGeer, P. L., Akiyama, H., Zhu, S., & Selkoe, D. (1989) · Journal of Neuroimmunology · doi:10.1016/0165-5728(89)90115-x · Cited by 940
Cited by
Zeng, S., Liu, X., Kafuti, Y. S., Kim, H., Wang, J., Peng, X., Li, H., & Yoon, J. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00799a · Cited by 341
Kim, J., Um, H., Kim, N. H., & Kim, D. (2023) · Bioactive Materials · doi:10.1016/j.bioactmat.2023.01.006 · Cited by 33
Self-citationNear-infrared II theranostic agents for the diagnosis and treatment of Alzheimer’s disease
Zhou, C., Zeng, F., Yang, H., Liang, Z., Xu, G., Li, X., Liu, X., & Yang, J. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06690-1 · Cited by 14
Metadata
- Authors
- Zhou, J., Jangili, P., Son, S., Ji, M. S., Won, M., & Kim, J. S.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-09-09
- Volume
- 32
- Issue
- 51
- Pages
- e2001945-e2001945
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3083959578
- Cited by
- 204
- References
- 34
- FWCI
- 10.73
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fluorescent Diagnostic Probes in Neurodegenerative Diseases. https://app.cochat.ai/papers/10.1002/adma.202001945
- The paper
- Zhou, J., Jangili, P., Son, S., Ji, M. S., Won, M., & Kim, J. S. (2020). Fluorescent Diagnostic Probes in Neurodegenerative Diseases. Advanced Materials. https://doi.org/10.1002/adma.202001945
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.