The DOI matches its Crossref record.
Patterns of levels of biological metals in CSF differ among neurodegenerative diseases
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Citations
Cited by
Kambe, T., Tsuji, T., Hashimoto, A., & Itsumura, N. (2015) · Physiological Reviews · doi:10.1152/physrev.00035.2014 · Cited by 1,158
The outdoor air pollution and brain health workshop
Block, M. L., Elder, A., Auten, R. L., Bilbo, S. D., Chen, H., Chen, J.-C., Cory-Slechta, D. A., Costa, D., Diaz-Sanchez, D., Dorman, D. C., et al. (2012) · NeuroToxicology · doi:10.1016/j.neuro.2012.08.014 · Cited by 539
The Role of Magnesium in Neurological Disorders
Kirkland, A. E., Sarlo, G. L., & Holton, K. F. (2018) · Nutrients · doi:10.3390/nu10060730 · Cited by 382
Ramos, P., Santos, A., Pinto, N. R., Mendes, R., Magalhães, T., & Almeida, A. (2014) · Journal of Trace Elements in Medicine and Biology · doi:10.1016/j.jtemb.2013.08.001 · Cited by 221
Copper and Copper Proteins in Parkinson’s Disease
Montes, S., Rivera-Mancia, S., Diaz-Ruiz, A., Tristan-Lopez, L., & Rios, C. (2014) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2014/147251 · Cited by 203
The role of ATP13A2 in Parkinson’s disease: clinical phenotypes and molecular mechanisms
Park, J., Blair, N. F., & Sue, C. M. (2015) · Movement Disorders · doi:10.1002/mds.26243 · Cited by 173
Magnesium Status in Alzheimer’s Disease: A Systematic Review
Veronese, N., Zurlo, A., Solmi, M., Luchini, C., Trevisan, C., Bano, G., Manzato, E., Sergi, G., & Rylander, R. (2016) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317515602674 · Cited by 64
Iron Pathophysiology in Alzheimer’s Diseases
Wang, T., Xu, S.-F., Fan, Y.-G., Li, L.-B., & Guo, C. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-9589-5_5 · Cited by 64
Level of neurotoxic metals in amyotrophic lateral sclerosis: A population-based case–control study
Bocca, B., Forte, G., Oggiano, R., Clemente, S., Asara, Y., Peruzzu, A., Farace, C., Pala, S., Fois, A. G., Pirina, P., et al. (2015) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2015.10.023 · Cited by 54
Repurposing Disulfiram for Targeting of Glioblastoma Stem Cells: An In Vitro Study
Zirjacks, L., Stransky, N., Klumpp, L., Prause, L., Eckert, F., Zips, D., Schleicher, S., Handgretinger, R., Huber, S. M., & Ganser, K. (2021) · Biomolecules · doi:10.3390/biom11111561 · Cited by 16
Metadata
- Authors
- Hozumi, I., Hasegawa, T., Honda, A., Ozawa, K., Hayashi, Y., Hashimoto, K., Yamada, M., Koumura, A., Sakurai, T., Kimura, A., Tanaka, Y., Satoh, M., & Inuzuka, T.
- Venue
- Journal of the Neurological Sciences
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 303
- Issue
- 1-2
- Pages
- 95-99
- ISSN
- 0022-510X (ISSN-L)
- OpenAlex
- W2009526570
- Cited by
- 252
- References
- 0
- FWCI
- 13.62
- 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.
