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Brain and blood transcriptome profiles delineate common genetic pathways across suicidal ideation and suicide

Molecular Psychiatry(2024)10.1038/s41380-024-02420-zSource: DataRank Database

Brain and blood transcriptome profiles delineate common genetic pathways across suicidal ideation and suicide is a research paper published in Molecular Psychiatry (2024). On theSindex it has a DataRank of 0.568. It has been cited 20 times, with 20 citing works in its 1-hop citation network.

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0.568DataRank · unranked

Scored on demand from live citation data

Deposits data Open Access20 citations · 20 citing works in its network

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Data availability

Repositories this paper deposited data in (declared in PubMed).

GEOGSE247998 GSE248260

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)OA: hybridTopics (39)IDs (PubMed)

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 80%Citation Network 20%

Base Score Contribution

0.457

From this paper's citation signal

Citation Network Contribution

0.111

From 8 citing papers with measurable signal

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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 20 citers.

Editorial for Special Issue on Understanding and Prevention of Suicidal Behavior: Humanizing Care and Integrating Social Determinants
Psicothema202431 citations77 referencesContributes 0.045
Identification of blood transcriptome modules associated with suicidal ideation in patients with major depressive disorder
Scientific Reports20253 citations66 referencesContributes 0.021
Altered immune and inflammatory gene expression in prefrontal cortex of antipsychotic-free schizophrenia subjects
Brain Behavior & Immunity - Health20251 citations44 referencesContributes 0.016
Recent developments in omics studies and artificial intelligence in depression and suicide
Translational Psychiatry202511 citations162 referencesContributes 0.015
Neurobiology of Suicide in Depressive Disorders
20242 citations93 referencesContributes 0.012

Authors (11)

Qingkun Liu ORCID,Zhaoyu Wang ORCID,Yung-yu Huang,M. Elizabeth Sublette ORCID,Andrew J. Dwork ORCID

Live enrichment

PubMed:38278992

National Institutes of Health

Grant: 5R01MH098786-04

Building Schizophrenia Research in Macedonia

National Institutes of Health

Grant: 5P50MH090964-05

Antecedents of Suicidal Behavior Related Neurobiology

NIMH NIH HHS

Grant: R01 MH098786

U.S. Department of Veterans Affairs (Department of Veterans Affairs)

Grant: BX003794

U.S. Department of Veterans Affairs (Department of Veterans Affairs)

Grant: CX002074

RRD VA

Grant: I01 RX003818

U.S. Department of Veterans Affairs (Department of Veterans Affairs)

Grant: CX001728

BLRD VA

Grant: I01 BX003794

BLRD VA

Grant: I01 BX006069

CSRD VA

Grant: IK6 CX002074

CSRD VA

Grant: I01 CX001728

U.S. Department of Veterans Affairs (Department of Veterans Affairs)

Grant: CX001395

CSRD VA

Grant: I01 CX001395

NIMH NIH HHS

Grant: P50 MH090964

U.S. Department of Veterans Affairs (Department of Veterans Affairs)

Grant: RX003818

hybridLicense: cc-by

publisherhttps://www.nature.com/articles/s41380-024-02420-z.pdf

publisherhttps://www.nature.com/articles/s41380-024-02420-z

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11189724/pdf/41380_2024_Article_2420.pdf

https://doi.org/10.1038/s41380-024-02420-z

https://pubmed.ncbi.nlm.nih.gov/38278992

Fields of Study

03 medical and health sciences0302 clinical medicineHumansSuicidal IdeationFemaleMaleTranscriptomeSuicideAdultBrainMiddle AgedGene Regulatory NetworksDepressionInflammation

MeSH Terms

HumansSuicidal IdeationFemaleMaleTranscriptomeSuicideAdultBrainMiddle AgedGene Regulatory NetworksDepressionInflammation

Keywords

MaleAdultInflammationDepressionBrainMiddle AgedArticleSuicidal IdeationSuicideHumansFemaleGene Regulatory NetworksTranscriptome