Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008571Source: DataRank Database

A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0. It has been cited 27 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access27 citations

Download PDF

Cite:

Linked data & code

doi

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 (6 grants)Impact (FWCI 1.41)OA: goldTopics (55)IDs (PubMed, PMC, OpenAlex)Annotations (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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (6)

Yangyang Wang ORCID,Qixuan Wang ORCID,Ken W. Y. Cho,William R. Holmes ORCID,Qing Nie ORCID

Live enrichment

PubMed:33684098 PMC:PMC7971879 OpenAlex:https://openalex.org/W3135275911

National Science Foundation

Grant: DMS1562176

National Science Foundation

Grant: DMS1763272

Simons Foundation

Grant: 594598

National Institutes of Health

Grant: U01AR073159

National Science Foundation

Grant: 1763272

NSF-Simons Center for Multiscale Cell Fate Research

National Institutes of Health

Grant: 5U01AR073159-02

Multiscale Models of Wound Cell Plasticity for Regeneration

FWCI

1.41

Citation Percentile

0.8%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008571&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1008571&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1008571

journalhttps://doi.org/10.1371/journal.pcbi.1008571

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33684098

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesPluripotent Stem Cells Research0301 basic medicine03 medical and health sciences0303 health sciences

MeSH Terms

AnimalsEmbryo, MammalianGerm LayersModels, BiologicalEmbryonic DevelopmentMiceSingle-Cell AnalysisTranscriptome

Keywords

EpiblastCell fate determinationBiologyZygoteTranscriptomeBlastocystInner cell massCell biologyEmbryoComputational biologyCellGastrulationEmbryogenesisGene expressionGeneticsGeneTranscription factor570BioinformaticsQH301-705.51.1 Normal biological development and functioningEmbryonic DevelopmentBioengineeringModels, BiologicalMathematical SciencesMiceModelsInformation and Computing SciencesAnimalsBiology (General)PediatricMammalianHuman GenomeBiological SciencesBiologicalEmbryo, MammalianBiochemistry and Cell BiologyGeneric health relevanceSingle-Cell AnalysisGerm LayersResearch Article