Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-05

Nicole Kleinstreuer

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Role not yet determined Is this you? Add your title

53 h-index 284 pubs 13,775 cited

  • Humans
  • Animals
  • Toxicity Tests
  • High-Throughput Screening Assays
  • Animal Testing Alternatives
  • Risk Assessment
  • Computer Simulation
  • Models, Biological
  • Databases, Factual
  • United States
  • Rats
  • Skin
  • Dermatitis, Allergic Contact
  • Reproducibility of Results
  • Pesticides

Biography and Research Information

OverviewAI-generated summary

Nicole Kleinstreuer's research focuses on the development and application of new approach methodologies (NAMs) in toxicology, aiming to reduce or replace animal testing. Her work investigates *in silico* (computational) and *in vitro* (cell-based) methods for assessing chemical toxicity and informing regulatory decisions. This includes developing and validating artificial intelligence (AI) models for predicting toxicity endpoints, such as acute systemic and topical toxicity.

Kleinstreuer has contributed to frameworks for establishing scientific confidence in NAMs and has published on the impact of data quality on the reliability of AI models used as alternatives to animal testing. Her research also examines the variability in traditional animal testing protocols, such as acute oral systemic toxicity studies in rats, to identify areas for improvement and comparison with alternative methods. She collaborates with researchers at the National Center for Toxicological Research, including Kamel Mansouri, with whom she has co-authored multiple publications.

With an h-index of 53, 284 total publications, and over 13,775 citations, Kleinstreuer is recognized as a highly cited researcher. Her work supports the broader goal of advancing human regulatory toxicology by integrating computational modeling and high-throughput screening assays into risk assessment processes.

Metrics

  • h-index: 53
  • Publications: 284
  • Citations: 13,775

Selected Publications

  • Machine Learning Modeling for ABC Transporter Efflux and Inhibition: Data Curation, Model Development, and New Compound Interaction Predictions (2025)
    Molecular Pharmaceutics 3 citations DOI OpenAlex
  • External Validation of STopTox – Novel Alternative Method (NAM) for Acute Systemic and Topical Toxicity (2025)
    Environmental Health Perspectives 3 citations DOI OpenAlex
  • Panel discussions on the global regulatory acceptance and harmonisation of non-animal NAMs (2025)
    NAM journal. 4 citations DOI OpenAlex
  • The long way from raw data to NAM-based information: Overview on data layers and processing steps (2025)
    ALTEX 1 citation DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

76 Collaborators 60 Institutions 14 Countries

Top Collaborators

Similar Researchers

Based on overlapping research topics