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

Inhibition of Pyk2 Improves Cx43 Intercalated Disc Localization, Infarct Size, and Cardiac Function in Rats With Heart Failure

Circulation Heart Failure(2023)10.1161/circheartfailure.122.010294Source: DataRank Database

Inhibition of Pyk2 Improves Cx43 Intercalated Disc Localization, Infarct Size, and Cardiac Function in Rats With Heart Failure is a research paper published in Circulation Heart Failure (2023). On theSindex it has a DataRank of 0. It has been cited 34 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access34 citations

Download PDF

Cite:

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 (6 grants)Impact (FWCI 3.31)OA: bronzeTopics (37)Linked Datasets (20)DataCite Reuse (20)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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 (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 (7)

Gaëlle Spagnol ORCID,Devashri R. Gandhi,Kanika Sharma ORCID,Vikas Kumar ORCID,Kaushik P. Patel ORCID

Live enrichment

PubMed:37465947 PMC:PMC10524803 OpenAlex:https://openalex.org/W4384663667

NIGMS NIH HHS

Grant: P30 GM106397

NIDDK NIH HHS

Grant: R01 DK114663

NIGMS NIH HHS

Grant: P30 GM127200

NIGMS NIH HHS

Grant: R01 GM072631

NCRR NIH HHS

Grant: S10 RR027301

NIDDK NIH HHS

Grant: R01 DK129311

FWCI

3.31

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

bronze

journalhttps://www.ahajournals.org/doi/pdf/10.1161/CIRCHEARTFAILURE.122.010294

BRONZEhttps://www.ahajournals.org/doi/pdf/10.1161/CIRCHEARTFAILURE.122.010294

publisherhttps://www.ahajournals.org/doi/pdf/10.1161/CIRCHEARTFAILURE.122.010294

publisherhttps://www.ahajournals.org/doi/full/10.1161/CIRCHEARTFAILURE.122.010294

journalhttps://doi.org/10.1161/circheartfailure.122.010294

Fields of Study

Connexins and lens biologyCardiac electrophysiology and arrhythmiasWnt/β-catenin signaling in development and cancerMedicineAnimalsHumansRatsConnexin 43Focal Adhesion Kinase 2Heart FailureMyocardial InfarctionMyocardiumVentricular Remodeling

MeSH Terms

AnimalsHeart FailureHumansMyocardial InfarctionMyocardiumConnexin 43Ventricular RemodelingRatsFocal Adhesion Kinase 2

Keywords

Heart failureCardiologyInternal medicineCardiac function curveFunction (biology)Intercalated discMaterials scienceGap junctionMedicineCell biologyBiologyIntracellularPhosphorylationCardiac functionTarget

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 1 of USP38 exacerbates pressure overload-induced left ventricular electrical remodeling

10.6084/m9.figshare.26122747.v1figshare

Additional file 1 of USP38 exacerbates pressure overload-induced left ventricular electrical remodeling

10.6084/m9.figshare.26122747figshare

Additional file 9 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742092.v1figshare

Additional file 8 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742089figshare

Additional file 9 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742092figshare

Additional file 6 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742083.v1figshare

Additional file 7 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742086figshare

Additional file 8 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742089.v1figshare

Additional file 4 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742077.v1figshare

Additional file 5 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742080figshare

Additional file 5 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742080.v1figshare

Additional file 7 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742086.v1figshare

Additional file 6 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742083figshare

Additional file 2 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26157379figshare

Additional file 3 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742074figshare

Additional file 1 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26157119figshare

Additional file 2 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26157379.v1figshare

Additional file 1 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26157119.v1figshare

Additional file 3 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742074.v1figshare

Additional file 4 of Leveraging a neutrophil-derived PCD signature to predict and stratify patients with acute myocardial infarction: from AI prediction to biological interpretation

10.6084/m9.figshare.26742077figshare