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A Transformative Vision for an Omics-Based Regulatory Chemical Testing Paradigm

Toxicological Sciences(2022)10.1093/toxsci/kfac097Source: DataRank Database

A Transformative Vision for an Omics-Based Regulatory Chemical Testing Paradigm is a research paper published in Toxicological Sciences (2022). On theSindex it has a DataRank of 0. It has been cited 93 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access93 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 16.77)OA: hybridTopics (37)IDs (PubMed, OpenAlex)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)

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Authors (16)

Scott S. Auerbach ORCID,Tina Stevens,Tara S. Barton‐Maclaren ORCID,Eduardo Costa ORCID,A Currie ORCID

Live enrichment

PubMed:36165699 OpenAlex:https://openalex.org/W4297261109

National Institutes of Health

Grant: 1R03HS013039-01

Violence &SCI: Understanding the Rehabilitation Context

FWCI

16.77

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

2026

hybridLicense: cc-by-nc

journalhttps://doi.org/10.1093/toxsci/kfac097

publisherhttps://doi.org/10.1093/toxsci/kfac097

publisherhttps://academic.oup.com/toxsci/advance-article-pdf/doi/10.1093/toxsci/kfac097/46544635/kfac097.pdf

publisherhttps://academic.oup.com/toxsci/article-pdf/190/2/127/47233657/kfac097.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36165699

Fields of Study

Animal testing and alternativesMolecular Biology Techniques and ApplicationsEnvironmental Toxicology and Ecotoxicology0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

AnimalsHumansMammalsRisk AssessmentToxicity TestsBenchmarkingTranscriptome

Keywords

Transformative learningAdverse Outcome PathwayRisk assessmentOrganismRisk analysis (engineering)TranscriptomeToxicogenomicsProcess (computing)Set (abstract data type)Computer scienceBiologyComputational biologyData scienceBusinessPsychologyGeneticsGeneComputer securityMammalsBenchmarkingForumToxicity TestsAnimalsHumans

Sustainable Development Goals

SDG 3: 3. Good health