How neurons die in Alzheimer's disease: Implications for neuroinflammation is a research paper published in Current Opinion in Neurobiology (2022). On theSindex it has a DataRank of 0. It has been cited 190 times.
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National Institute on Aging
Grant: 1RF1AG071996 -01
National Institutes of Health
Grant: 5T32GM007267-38
Alzheimer's Association
Grant: ADSF -21-816651
National Institute of Neurological Disorders and Stroke
Grant: R01NS106383
NIA NIH HHS
Grant: RF1 AG071996
NIAID NIH HHS
Grant: T32 AI007496
NIGMS NIH HHS
Grant: T32 GM007267
Cure Alzheimer's Fund
FWCI
21.43
Citation Percentile
1.0%
Influential Citations
5
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Liensinine and neferine exert neuroprotective effects via the autophagy pathway in transgenic Caenorhabditis elegans
Additional file 1 of Liensinine and neferine exert neuroprotective effects via the autophagy pathway in transgenic Caenorhabditis elegans
Additional file 11 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 11 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 10 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 9 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 9 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 8 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 8 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 7 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 7 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 6 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 5 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 3 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 4 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 5 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 2 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 2 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 3 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders
Additional file 1 of The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders