🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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

Side- and Disease-Dependent Changes in Human Aortic Valve Cell Population and Transcriptomic Heterogeneity Determined by Single-Cell RNA Sequencing

Genes(2024)10.3390/genes15121623Source: DataRank Database

Side- and Disease-Dependent Changes in Human Aortic Valve Cell Population and Transcriptomic Heterogeneity Determined by Single-Cell RNA Sequencing is a research paper published in Genes (2024). On theSindex it has a DataRank of 0. It has been cited 12 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access12 citations

Cite:

Linked data & code

geo

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 (18 grants)Impact (FWCI 2.08)OA: goldTopics (46)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (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 (10)

C.-S. Park ORCID,Aitor Andueza ORCID,Kyung In Baek ORCID,Ally J. Su ORCID,Mark C. Blaser ORCID

Live enrichment

PubMed:39766890 PMC:PMC11675841 OpenAlex:https://openalex.org/W4405574590

Cell and Tissue Engineering NIH Biotechnology Training

Grant: T32 GM-008433

Cell and Tissue Engineering NIH Biotechnology Training

Grant: HL119798

Cell and Tissue Engineering NIH Biotechnology Training

Grant: HL139757

Cell and Tissue Engineering NIH Biotechnology Training

Grant: HL151358

Cell and Tissue Engineering NIH Biotechnology Training

Grant: F31HL176148

Cell and Tissue Engineering NIH Biotechnology Training

Grant: T32HL166146

Cell and Tissue Engineering NIH Biotechnology Training

Grant: 5T32HL007745

Cell and Tissue Engineering NIH Biotechnology Training

Grant: 1F32HL167625

Cell and Tissue Engineering NIH Biotechnology Training

Grant: R01 HL136431

Cell and Tissue Engineering NIH Biotechnology Training

Grant: R01 HL141917

Cell and Tissue Engineering NIH Biotechnology Training

Grant: R01 HL147095

NHLBI NIH HHS

Grant: R01 HL119798

NHLBI NIH HHS

Grant: R01 HL158571

NHLBI NIH HHS

Grant: R01 HL139757

NIGMS NIH HHS

Grant: T32 GM008433

NHLBI NIH HHS

Grant: T32 HL007745

NHLBI NIH HHS

Grant: F32 HL167625

NCI NIH HHS

Grant: P30 CA138292

FWCI

2.08

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/2073-4425/15/12/1623/pdf?version=1734598849

GOLDhttps://doi.org/10.3390/genes15121623

publisherhttps://www.mdpi.com/2073-4425/15/12/1623/pdf?version=1734598849

publisherhttps://www.mdpi.com/2073-4425/15/12/1623/pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39766890

Fields of Study

Single-cell and spatial transcriptomicsCardiac Valve Diseases and TreatmentsCongenital heart defects researchMedicineBiology

MeSH Terms

AgedAortic ValveAortic Valve StenosisCalcinosisFemaleHumansMaleMiddle AgedSequence Analysis, RNAGene Expression ProfilingEndothelial CellsSingle-Cell AnalysisTranscriptome

Keywords

TranscriptomeBiologyPopulationCellAortic valveStromal cellEndothelial stem cellPhenotypeCell biologyPathologyGeneGene expressionGeneticsCancer researchMedicineInternal medicineIn vitroInflammationHuman Aortic ValvesTranscriptomicsValve Interstitial CellsCalcific Aortic Valve DiseaseEndothelial-to-mesenchymal TransitionAortic SclerosisSingle-cell Rna SequencingAortid StenosisAp-1 Related Transcription FactorsValve Endothelial Cells

Sustainable Development Goals

SDG 0: Good health and well-being