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Comparative single-cell transcriptomes of dose and time dependent epithelial–mesenchymal spectrums

NAR Genomics and Bioinformatics(2022)10.1093/nargab/lqac072Source: DataRank Database

Comparative single-cell transcriptomes of dose and time dependent epithelial–mesenchymal spectrums is a research paper published in NAR Genomics and Bioinformatics (2022). On theSindex it has a DataRank of 0. It has been cited 30 times.

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0DataRank · unranked

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Open Access30 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 2.23)OA: goldTopics (21)IDs (PubMed, PMC, OpenAlex)Annotations (2)SDGs (2)

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 (5)

Kazuhide Watanabe ORCID,Masataka Takahashi,Andrew Willems ORCID,Tian Hong ORCID,Nicholas Panchy ORCID

Live enrichment

PubMed:36159174 PMC:PMC9492285 OpenAlex:https://openalex.org/W4296701617

National Institutes of Health

Grant: R01GM140462

Grant-in-Aid for Scientific Research (KAKENHI) on Innovative Areas ‘Cellular Diversity’

Grant: JP18H05106

National Institutes of Health

Grant: 1R01GM140462-01

Mathametical modeling of cell fate transitions regulated by ultra-feedbacks

FWCI

2.23

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by-nc

journalhttps://academic.oup.com/nargab/article-pdf/4/3/lqac072/45957502/lqac072.pdf

publisherhttps://academic.oup.com/nargab/article-pdf/4/3/lqac072/45957502/lqac072.pdf

journalhttps://doi.org/10.1093/nargab/lqac072

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36159174

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9492285

Fields of Study

Cancer Cells and MetastasisSingle-cell and spatial transcriptomicsCancer Genomics and Diagnostics0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

TranscriptomeCellBiologySingle-cell analysisEpithelial–mesenchymal transitionCancer researchIn vitroRNACell biologyComputational biologyGeneGene expressionTransition (genetics)GeneticsStandard Article

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Comparative single-cell transcriptomes of dose and time dependent epithelial–mesenchymal spectrums

FAIR Checklist

Authors (5)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)