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Recent advances in stem cell-based blastocyst models

Current Opinion in Genetics & Development(2023)10.1016/j.gde.2023.102088Source: DataRank Database

Recent advances in stem cell-based blastocyst models is a research paper published in Current Opinion in Genetics & Development (2023). On theSindex it has a DataRank of 0. It has been cited 9 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access9 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.83)OA: greenTopics (33)IDs (PubMed, PMC, OpenAlex)

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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Authors (3)

James N Hamilton,Jun Wu ORCID,Seiya Oura ORCID

Live enrichment

PubMed:37451164 PMC:PMC12077647 OpenAlex:https://openalex.org/W4384028009

NICHD NIH HHS

Grant: R01 HD103627

NIGMS NIH HHS

Grant: R01 GM138565

NIH HHS

Grant: R21 OD028763

FWCI

0.83

Citation Percentile

0.7%

Citation Trend

2023

2024

2025

greenLicense: https://doi.org/10.15223/policy-004

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12077647/pdf/nihms-2076974.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0959437X23000680?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0959437X23000680?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12077647

Fields of Study

Pluripotent Stem Cells ResearchRenal and related cancersTissue Engineering and Regenerative MedicineAnimalsCell DifferentiationBlastocystStem CellsEmbryonic DevelopmentCell LineEmbryo, MammalianMammals

MeSH Terms

AnimalsBlastocystCell DifferentiationCell LineEmbryo, MammalianMammalsStem CellsEmbryonic Development

Keywords

BiologyBlastocystStem cellEmbryonic stem cellEmbryoModel organismCell biologyStem cell biologyComputational biologyEmbryogenesisBioinformaticsGeneticsReproductive technologyGene