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Mapping cellular interactions from spatially resolved transcriptomics data

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

Mapping cellular interactions from spatially resolved transcriptomics data

Nature Methods(2024)10.1038/s41592-024-02408-1Source: DataRank Database

Mapping cellular interactions from spatially resolved transcriptomics data is a research paper published in Nature Methods (2024). On theSindex it has a DataRank of 0.604. It has been cited 55 times.

N/A

0.604DataRank · unranked

Scored on demand from live citation data

55 citations

Cite:

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 (17 grants)Impact (FWCI 9.13)OA: closedTopics (34)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

FFindable (1/2)

Has DOI

AAccessible (0/2)

IInteroperable (0/2)

RReusable (0/3)

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

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.604

From this paper's citation signal

Citation Network Contribution

0

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (25)

Yunguan Wang ORCID,Woo Yong Chang ORCID,Alicia Malewska ORCID,Fabiana Napolitano ORCID,Jeffrey Gahan ORCID

Live enrichment

PubMed:39227721 OpenAlex:https://openalex.org/W4402171757

Cancer Prevention and Research Institute of Texas

Grant: RP190208

Cancer Prevention and Research Institute of Texas

Grant: RP230363

Cancer Prevention and Research Institute of Texas

Grant: RR220024

Cancer Prevention and Research Institute of Texas

Grant: RR170061

U.S. Department of Health & Human Services | National Institutes of Health

Grant: R01CA258584

U.S. Department of Health & Human Services | National Institutes of Health

Grant: R01CA255064

U.S. Department of Health & Human Services | National Institutes of Health

Grant: RC2DK129994

U.S. Department of Health & Human Services | National Institutes of Health

Grant: R01DK115477

U.S. Department of Health & Human Services | National Institutes of Health

Grant: R01DK135535

NCI NIH HHS

Grant: P50 CA070907

National Institutes of Health

Grant: 5R01DK135535-03

Interstitial fibroblasts drive prostate branching morphogenesis

National Institutes of Health

Grant: 5R01CA258584-04

Applying deep learning to predict T cell receptor binding specificity of neoantigens and response to checkpoint inhibitors

National Institutes of Health

Grant: 5R01DK115477-03

Notch-mediated 5ARI resistance in human BPH

National Institutes of Health

Grant: 5R01CA255064-03

Neural Niche in Promoting Brain Metastatic Tumor Progression

National Institutes of Health

Grant: 5RC2DK129994-02

Bedside to bench resources for lower urinary tract research

National Institutes of Health

Grant: 3R01CA222405-02S1

Mechanisms of neuroinflammation in brain metastasis progression

Dedman Family Scholars in Clinical Care

FWCI

9.13

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

closedLicense: Springer Nature TDM

publisherhttps://www.nature.com/articles/s41592-024-02408-1.pdf

publisherhttps://www.nature.com/articles/s41592-024-02408-1

journalhttps://doi.org/10.1038/s41592-024-02408-1

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39227721

https://doi.org/10.1101/2023.09.18.558298

Fields of Study

Single-cell and spatial transcriptomicsCell Image Analysis TechniquesGene expression and cancer classification0206 medical engineering02 engineering and technologySingle-Cell AnalysisHumansCell CommunicationTranscriptomeGene Expression ProfilingAnimals

MeSH Terms

AnimalsCell CommunicationHumansGene Expression ProfilingSingle-Cell AnalysisTranscriptome

Keywords

Computer scienceInferenceCommunication sourceComputational biologyModality (human–computer interaction)Resolution (logic)Expression (computer science)BiologyArtificial intelligenceTelecommunicationsGene Expression ProfilingHumansAnimalsCell CommunicationSingle-Cell AnalysisTranscriptomeArticle

Sustainable Development Goals

SDG 0: Climate action

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