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Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis

Neuron(2020)10.1016/j.neuron.2020.06.010Source: DataRank Database

Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis is a research paper published in Neuron (2020). On theSindex it has a DataRank of 4.0. It has been cited 191 times, with 167 citing works in its 1-hop citation network.

N/A

4.0DataRank · unranked

Scored on demand from live citation data

Open Access191 citations · 167 citing works in its network

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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 7.68)OA: hybridTopics (21)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 20%Citation Network 80%

Base Score Contribution

0.789

From this paper's citation signal

Citation Network Contribution

3.2

From 131 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 167 citers.

Selective Neuronal Vulnerability in Alzheimer’s Disease: A Modern Holy Grail
Neuron20207 citations10 referencesContributes 0.208
Revisiting astrocyte to neuron conversion with lineage tracing in vivo
Cell2021327 citations57 referencesContributes 0.102
Cognitive stimulation in the workplace, plasma proteins, and risk of dementia: three analyses of population cohort studies
BMJ202197 citations50 referencesContributes 0.092
Nanoscale and functional heterogeneity of the hippocampal extracellular space
Cell Reports202319 citations37 referencesContributes 0.081
40 Hz Light Flicker Promotes Learning and Memory via Long Term Depression in Wild-Type Mice
Journal of Alzheimer s Disease202134 citations45 referencesContributes 0.079

Authors (21)

Vicky Yao ORCID,Patricia Rodriguez‐Rodriguez ORCID,Rose Oughtred ORCID,Jennifer Rust,Zakary Plautz

Live enrichment

PubMed:32603655 OpenAlex:https://openalex.org/W3037608718

National Institutes of Health

Grant: T32 HG003284

Horizon 2020

Grant: 799638

National Institute on Aging

Grant: RF1AG047779

National Institute on Aging

Grant: P50 AG005138

National Institute on Aging

Grant: RF1AG054564

National Institute on Aging

Grant: R01 GM071966

National Institute on Aging

Grant: R01OD010929

U.S. Department of Defense

Grant: W81XWH-14-1-0046

FWCI

7.68

Citation Percentile

1.0%

Citation Trend

2019

2020

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttp://www.cell.com/article/S0896627320304396/pdf

publisherhttp://www.cell.com/article/S0896627320304396/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0896627320304396?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0896627320304396?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.neuron.2020.06.010

Fields of Study

Bioinformatics and Genomic NetworksFunctional Brain Connectivity StudiesAlzheimer's disease research and treatments

MeSH Terms

Machine LearningAgingAlzheimer DiseaseAnimalsHumansNeuronsGene Expression ProfilingMiceGene Regulatory NetworksTranscriptome

Keywords

NeuroscienceVulnerability (computing)DiseaseAlzheimer's diseasePsychologyMedicineComputer sciencePathology

Sustainable Development Goals

SDG 0: Life in Land

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