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Predicting the Metal Mixture Toxicity with a Toxicokinetic–Toxicodynamic Model Considering the Time-Dependent Adverse Outcome Pathways

Environmental Science & Technology(2024)10.1021/acs.est.3c09857Source: DataRank Database

Predicting the Metal Mixture Toxicity with a Toxicokinetic–Toxicodynamic Model Considering the Time-Dependent Adverse Outcome Pathways is a research paper published in Environmental Science & Technology (2024). On theSindex it has a DataRank of 0.675. It has been cited 22 times, with 16 citing works in its 1-hop citation network.

N/A

0.675DataRank · unranked

Scored on demand from live citation data

22 citations · 16 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 5.73)OA: closedTopics (38)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 70%Citation Network 30%

Base Score Contribution

0.470

From this paper's citation signal

Citation Network Contribution

0.204

From 11 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 16 citers.

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Environmental Science & Technology20247 citations44 referencesContributes 0.047
Cu(II)-Dependent Spine Development Injury in Zebrafish (Danio rerio) with Organ Heterogeneous Cu Imbalance
Environmental Science & Technology20244 citations50 referencesContributes 0.032
Time dependence effect of metal toxicology and application in WQC derivation of main water basins in China
Ecological Indicators20253 citations47 referencesContributes 0.029
Toxicokinetics of microplastics in Macrobrachium nipponense and their impact on the bioavailability of loaded pollutants
Journal of Hazardous Materials20245 citations68 referencesContributes 0.026
Molecular and toxicological study of the plasticizers exposure-induced metabolic disorders
Environmental Pollution20262 citations45 referencesContributes 0.024

Authors (5)

Jing Zeng ORCID,Ning Gao ORCID,Lin Zhu ORCID,Jianfeng Feng ORCID,Lanpeng Yang ORCID

Live enrichment

PubMed:38350648 OpenAlex:https://openalex.org/W4391815503

National Natural Science Foundation of China

Grant: 41991313

National Natural Science Foundation of China

Grant: 41877498

National Natural Science Foundation of China

Grant: 42377271

FWCI

5.73

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

closedLicense: https://doi.org/10.15223/policy-029

publisherhttps://pubs.acs.org/doi/pdf/10.1021/acs.est.3c09857

journalhttps://doi.org/10.1021/acs.est.3c09857

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38350648

Fields of Study

Environmental Toxicology and EcotoxicologyEffects and risks of endocrine disrupting chemicalsComputational Drug Discovery MethodsAnimalsAdverse Outcome PathwaysCadmiumModels, BiologicalToxicokineticsEcosystemZebrafishLarva

MeSH Terms

Adverse Outcome PathwaysAnimalsCadmiumLarvaModels, BiologicalZebrafishEcosystemToxicokinetics

Keywords

ToxicodynamicsAdverse Outcome PathwayToxicokineticsToxicityToxicogenomicsBiochemical engineeringChemistryBiological systemEnvironmental chemistryComputational biologyBiologyBiochemistryEngineeringOrganic chemistryZebrafishMixture ToxicityMetal MixtureToxicokinetic–toxicodynamic ModelGenetic Responses

Sustainable Development Goals

SDG 0: Zero hunger