Single-cell genomics and regulatory networks for 388 human brains is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.419, placing it in the top 44.3% of the data-sharing corpus. It has been cited 9 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 44% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.345
From this paper's citation signal
Citation Network Contribution
0.0737
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institutes of Health
Grant: 1R01MH123922-01
Population-level and mechanistic dissection of 17q21 structural variant association with psychiatric traits
National Institutes of Health
Grant: 1R01MH110928-01
3/3 Integrative Genomic Analysis of Human Brain Development and Autism
National Institutes of Health
Grant: 5U01MH116442-03
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorder
National Institutes of Health
Grant: 3U01DA048279-03S1
Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease
National Institutes of Health
Grant: 5U01MH122592-03
3/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease
National Institutes of Health
Grant: 5U01MH116492-02
1/2 Discovery and validation of neuronal enhancers associated with the development of psychiatric disorders
National Institutes of Health
Grant: 5U01MH114812-04
A multimodal atlas of human brain cell types
National Institutes of Health
Grant: 5R01MH110926-04
1/3 Integrative Genomic Analysis of Human Brain Development and Autism
National Institutes of Health
Grant: 5R01MH117406-03
The Spatiotemporal Landscape of the Human Brain Epitranscriptome
National Institutes of Health
Grant: 5R21MH103877-02
GABA Epigenomes in Autism
National Institutes of Health
Grant: 5R01MH116529-05
Integrated, cell type specific functional genomics analyses of regulatory sequence elements and their dynamic interaction networks in neuropsychiatric brain tissues
National Institutes of Health
Grant: 5R21NS127432-02
Creation of a Schwann Cell Gene Regulatory Network
National Institutes of Health
Grant: 1R01MH126393-01
Laminar dissection of cortical human brain gene expression in neuropsychiatric disorders
National Institutes of Health
Grant: 5U19AG060909-02
A platform for cell type-level transcriptomic, epigenomic and spatial interrogation of Alzheimer's disease
National Institutes of Health
Grant: 1R01MH109715-01A1
Mapping the role of long noncoding RNAs in gene regulatory networks in schizophrenia
National Institutes of Health
Grant: 5R01MH117292-03
Site 3/3, Understanding PTSD through Postmortem Targeted Brain Multiomics
National Institutes of Health
Grant: 1U01MH116441-01
Dynamic RNA Modifications in human brain development and autism
National Institutes of Health
Grant: 3U01MH103340-02S1
Genetic variants affect brain gene expression and risks of psychiatric disorders
National Institutes of Health
Grant: 5R01MH126459-04
Gene Expression Regulation in Brains of East Asian, African, and European Descent Explains Schizophrenia GWAS Across Populations
National Institutes of Health
Grant: 1R21MH102791-01A1
Establishing comprehensive and quantitative maps of DNA methylation in the develo
National Institutes of Health
Grant: 5U01MH116438-04
Massively parallel characterization of psychiatric disease associated regulatory elements in defined cell types
National Institutes of Health
Grant: 5R01MH109677-02
Risk genetic variants and cis regulation of gene expression in Bipolar Disorder
National Institutes of Health
Grant: 3U01MH103365-03S1
Gene regulatory elements and transcriptome in iPSCs and embryonic human cortex
National Institutes of Health
Grant: 1R01MH125516-01A1
Assessing Genomic, Regulatory and Transcriptional Variation at Single Nuclei Resolution in the Brains of Individuals with Autism Spectrum Disorder
National Institutes of Health
Grant: 5R01MH105472-03
Decoding schizophrenia-From GWAS to functional regulatory variants
National Institutes of Health
Grant: 1P50HD105353-01
Waisman Center Intellectual and Developmental Disabilities Research Center
National Institutes of Health
Grant: 5U01MH116489-06
2/2 Discovery and validation of neuronal enhancers associated with the development of psychiatric disorders
National Institutes of Health
Grant: 5R01MH117293-03
1/3 Understanding PTSD through Postmortem Targeted Brain Multi-omics
National Institutes of Health
Grant: 5U01MH103392-03
Cis-Regulatory Epigenome Mappings in Schizophrenia
National Institutes of Health
Grant: 1R56MH114911-01A1
1/3 Chromatin regulation during brain development and in ASD
National Institutes of Health
Grant: 5R01MH094714-02
Epigenetic and Transcriptional Dysregulation in Autism Spectrum Disorder
National Institutes of Health
Grant: 5R01MH111721-04
Integrative Genomics of the Corticolimbic Circuit in Major Depressive Disorder
National Institutes of Health
Grant: 1U01MH122678-01
1/2 Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain development
National Institutes of Health
Grant: 1RF1MH128695-01A1
Machine learning analyses of single-cell multi-modal data for understanding cell-type functional genomics and gene regulation
National Institutes of Health
Grant: 5U01MH116487-02
2/2 - Cell Type and Region-Specific Regulatory Networks in Human Brain Development and Disorders
National Institutes of Health
Grant: 1RF1MH128970-01
A regulome and transcriptome atlas of fetal and adult human neurogenesis
National Institutes of Health
Grant: 3R01AG050986-04S1
Higher Order Chromatin and Genetic Risk for Alzheimer's Disease
National Institutes of Health
Grant: 5R01MH125246-05
Multiethnic genomic epigenomic and transcriptomic fine-mapping and functional validation analysis of schizophrenia and bipolar disorder risk loci
National Institutes of Health
Grant: 5R01AG067025-04
Understanding the molecular mechanisms that contribute to neuropsychiatric symptoms in Alzheimer Disease
National Institutes of Health
Grant: 5R01MH110905-04
2/2-Measuring translational dynamics and the proteome to identify potential brain biomarkers for psychiatric disease
National Institutes of Health
Grant: 5R21MH105853-02
Decomposing cell type-specific marks in post-mortem human brain studies
National Institutes of Health
Grant: 5U01MH103339-02
Transcriptional and Epigenetic Signatures of Human Brain Development and Autism
National Institutes of Health
Grant: 1R56MH114899-01A1
2/3 Chromatin regulation during brain development and in ASD
National Institutes of Health
Grant: 5R01MH105898-04
RNA Sequencing of the Limbic System in Bipolar Disorder
National Institutes of Health
Grant: 5U01MH116488-03
1/2 Cell Type and Region-Specific Regulatory Networks in Human Brain Development and Disorders
National Institutes of Health
Grant: 5R01MH121521-03
Isoform-level probabilistic transcriptome-wide association to undercover neurogenetic mechanisms underlying complex psychiatric traits
National Institutes of Health
Grant: 1R01MH117291-01
2/3 Understanding PTSD through Postmortem Targeted Brain Multi-omics
National Institutes of Health
Grant: 5R01MH110927-02
2/3 Integrative Genomic Analysis of Human Brain Development and Autism
National Institutes of Health
Grant: 5R01MH129301-03
Sex-specific trajectories in epigenomic regulation of brain patterning
National Institutes of Health
Grant: 5U01MH122591-03
1/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease.
National Institutes of Health
Grant: 5R01AG065582-04
Understanding the protective and neuroinflammatory role of human brain immune cells in Alzheimer Disease
National Institutes of Health
Grant: 1R01MH109897-01
Integrated Multiscale Networks in Schizophrenia
National Institutes of Health
Grant: 5R01MH110920-04
1/2 Measuring translational dynamics and the proteome to identify potential brain biomakers for psychiatric disease
National Institutes of Health
Grant: 5U01MH122590-02
2/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease
National Institutes of Health
Grant: 5U01MH122681-02
2/2 - Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain development
National Institutes of Health
Grant: 5U01MH122849-02
Spatial registration of gene expression in the human brain
National Institutes of Health
Grant: 1R21NS128761-01
Prediction and Validation of Oligodendrocyte Gene Regulatory Network from Multi-Omics
National Institutes of Health
Grant: 1R01NS128523-01
Interpretable Deep Learning Methods to Investigate Genetics and Epigenetics of Alzheimer's Disease at a Single-Cell Resolution
National Institutes of Health
Grant: 5R01MH110921-04
Molecular Profiling of Schizophrenia
National Institutes of Health
Grant: 5U01MH103346-02
The USC PsychENCODE Project
National Institutes of Health
Grant: 1U01MH122509-01
Discovery and validation of genetic variation impacting the gene regulatory landscape during human cortical development
National Institutes of Health
Grant: 5P50MH106934-04
Functional Genomics of Human Brain Development
National Institutes of Health
Grant: 1R56MH114901-01A1
3/3 Chromatin regulation during brain development and in ASD
National Institutes of Health
Grant: 5R01HG012572-02
Decoding the Noncoding Regulatory Genome with Super-resolution via Single-cell Multiomics Integration
National Institutes of Health
Grant: 5R21MH109956-02
Characterizing the developing human brain transcriptome at single-base resolution
National Institutes of Health
Grant: 5R21MH105881-02
Long non-coding RNAs in gene regulatory networks underlying Autism
National Science Foundation
Grant: 2144475
CAREER: Interpretable machine learning deciphers single-cell multi-modal data for understanding cell-type functional genomics in complex brains
Fields of Study
Keywords
Sustainable Development Goals