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Cell type ontologies of the Human Cell Atlas

Nature Cell Biology(2021)10.1038/s41556-021-00787-7Source: DataRank Database

Cell type ontologies of the Human Cell Atlas is a dataset published in Nature Cell Biology (2021). On theSindex it has a DataRank of 4.6, placing it in the top 4.8% of the data-sharing corpus. It has been cited 128 times, with 100 citing works in its 1-hop citation network.

Top 5%percentile

4.6DataRank

Ranks in the top 5% for downstream scientific impact

Data paper Open Access128 citations · 100 citing works in its network

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Linked data & code

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 (5 grants)Impact (FWCI 7.76)OA: bronzeTopics (62)Linked Datasets (13)DataCite Reuse (13)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 16%Citation Network 84%

Base Score Contribution

0.729

From this paper's citation signal

Citation Network Contribution

3.8

From 100 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 100 citers.

Human pluripotent stem cell registry: Operations, role and current directions
Cell Proliferation202225 citations23 referencesContributes 0.142
LungMAP Portal Ecosystem: Systems-level Exploration of the Lung
American Journal of Respiratory Cell and Molecular Biology202261 citations31 referencesContributes 0.133
uHAF: a unified hierarchical annotation framework for cell type standardization and harmonization
Bioinformatics20256 citations17 referencesContributes 0.114
Cellular atlases are unlocking the mysteries of the human body
Nature202411 citations22 referencesContributes 0.113
Organ Mapping Antibody Panels: a community resource for standardized multiplexed tissue imaging
Nature Methods202345 citations35 referencesContributes 0.109

Authors (8)

Chuan Xu ORCID,Maria Keays ORCID,Adam P. Levine,Peter V. Kharchenko ORCID,Aviv Regev ORCID

Live enrichment

PubMed:34750578 OpenAlex:https://openalex.org/W3173802674

Wellcome Trust

Grant: 108413/A/15/D

NIH HHS

Grant: OT2 OD026682

National Institute for Health Research (NIHR)

Grant: CL-2020-18-002

Wellcome Trust

Grant: 108413

WTSI Science and IT Platforms, Translation, Administration and Estates

National Institutes of Health

Grant: 3OT2OD026682-01S1

Comprehensive, Flexible and FAIR Tools for the HuBMAP HIVE

FWCI

7.76

Citation Percentile

1.0%

Citation Trend

2021

2022

2023

2024

2025

2026

bronzeLicense: Springer Nature TDM

journalhttps://www.nature.com/articles/s41556-021-00787-7.pdf

publisherhttps://www.nature.com/articles/s41556-021-00787-7.pdf

publisherhttps://www.nature.com/articles/s41556-021-00787-7

journalhttps://doi.org/10.1038/s41556-021-00787-7

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34750578

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesCancer Cells and Metastasis0301 basic medicine0303 health sciences03 medical and health sciencesAtlases as TopicBiological OntologiesBiomarkersCell BiologyCell LineageCellsData MiningDiseaseGene OntologyGenomicsHigh-Throughput Nucleotide SequencingHumansPhenotypeSingle-Cell AnalysisSystems IntegrationTranscriptome

MeSH Terms

Atlases as TopicCellsCell BiologyDiseaseHumansPhenotypeBiomarkersSystems IntegrationCell LineageGenomicsData MiningSingle-Cell AnalysisHigh-Throughput Nucleotide SequencingTranscriptomeGene OntologyBiological Ontologies

Keywords

Profiling (computer programming)Cell typeOntologyCellHuman cellAtlas (anatomy)Cell biologyCellsHigh-Throughput Nucleotide SequencingGenomicsComputational biology and bioinformaticsSystems IntegrationAtlases as TopicGene OntologyPhenotypeBiological OntologiesData MiningHumansCell LineageDiseaseSingle-Cell AnalysisTranscriptomicsTranscriptomeBiomarkers

Additional file 3 of simona: a comprehensive R package for semantic similarity analysis on bio-ontologies

10.6084/m9.figshare.27042518.v1figshare

Additional file 2 of simona: a comprehensive R package for semantic similarity analysis on bio-ontologies

10.6084/m9.figshare.27042515.v1figshare

Additional file 1 of simona: a comprehensive R package for semantic similarity analysis on bio-ontologies

10.6084/m9.figshare.27042512.v1figshare

Additional file 3 of simona: a comprehensive R package for semantic similarity analysis on bio-ontologies

10.6084/m9.figshare.27042518figshare

Additional file 4 of simona: a comprehensive R package for semantic similarity analysis on bio-ontologies

10.6084/m9.figshare.27042521figshare

Additional file 6 of simona: a comprehensive R package for semantic similarity analysis on bio-ontologies

10.6084/m9.figshare.27042527figshare