Kamel Mansouri

High Impact

Investigator/ Computational chemistry

NCTR
Last publication 2025 Last refreshed 2026-05-16

faculty

31 h-index 111 pubs 6,570 cited

Research Areas

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OverviewAI-generated summary

Kamel Mansouri is an investigator in computational chemistry at the National Center for Toxicological Research. His work focuses on the application of computational methods, including machine learning and quantitative structure-activity relationships (QSAR), to predict and evaluate chemical toxicity. He has published on the development of modeling suites for acute toxicity, such as CATMoS, and workflows for standardizing chemical structures for QSAR modeling.

Mansouri's research also investigates the application of new approach methodologies (NAMs) and in vitro to in vivo extrapolation (IVIVE) for chemical safety assessments. This includes the use of accessible interfaces for pharmacokinetic modeling and the evaluation of variability in animal toxicity studies. He has collaborated with Nicole Kleinstreuer on multiple publications in these areas.

With an h-index of 31 and over 6,440 citations from 105 publications, Mansouri is recognized as a highly cited researcher. His work contributes to the fields of toxicology, computational chemistry, and regulatory science by providing advanced tools and methodologies for predicting chemical hazards and informing risk assessments.

Metrics

  • h-index: 31
  • Publications: 111
  • Citations: 6,570

Selected Publications

  • Advancing Human and Environmental Safety Science Using <i>In Silico</i> Methods (2025)
    1 citation DOI OpenAlex

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Collaboration Network

182 Collaborators 64 Institutions 15 Countries

Top Collaborators

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