Computational Toxicology

Computational Toxicology - ISSN 2468-1113
Source Normalized Impact per Paper (SNIP): 0.997 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.579 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
ISSN: 24681113

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Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment.


  • All effects relating to human health and environmental toxicity and fate
  • Prediction of toxicity, metabolism, fate and physico-chemical properties
  • The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models
  • Big Data in toxicology: integration, management, analysis
  • Implementation of models through AOPs, IATA, TTC
  • Regulatory acceptance of models: evaluation, verification and validation
  • From metals, to small organic molecules to nanoparticles
  • Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals
  • Bringing together the views of industry, regulators, academia, NGOs