Barbara L. Parsons Data-verified

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

High Impact

Research Microbiogist

Last publication 2026 Last refreshed 2026-05-16

faculty

29 h-index 144 pubs 2,744 cited

Biography and Research Information

OverviewAI-generated summary

Barbara L. Parsons is a research microbiologist whose work focuses on the application of advanced sequencing technologies for genotoxicity and cancer risk assessment. Her research investigates the detection and interpretation of genetic mutations, particularly small variants of low allele frequency, in the context of carcinogenicity testing. Parsons has published extensively on the development and validation of error-corrected next-generation sequencing methods, highlighting their potential to improve the accuracy and sensitivity of nonclinical genotoxicity and carcinogenicity testing.

Her recent publications explore the performance of cancer gene panels, the measurement of cancer driver mutations in animal models, and the correlation of these mutations with spontaneous tumor incidence. Parsons also contributes to the interpretation of in vitro concentration-response data for regulatory decision-making, emphasizing the quantitative analysis of experimental results. She has a notable publication record with 147 total publications and an h-index of 29, with 2,850 total citations. Parsons actively collaborates with researchers at the National Center for Toxicological Research, including Meagan B. Myers, Robert H. Heflich, Binsheng Gong, and Kelly L. Harris.

Metrics

  • h-index: 29
  • Publications: 144
  • Citations: 2,744

Selected Publications

  • Tissue and Sex‐Specific Performance of a Cancer Driver Based Biomarker in <scp>rasH2</scp> ‐Tg Mice (2025)
    1 citation DOI OpenAlex
  • Transferability, Reproducibility and Sensitivity of Mutation Quantification by Duplex Sequencing (2025)
    2 citations DOI OpenAlex
  • Clonal expansion of cancer driver gene mutants investigated using advanced sequencing technologies (2024)
    2 citations DOI OpenAlex
  • Repeat treatment of organotypic airway cultures with ethyl methanesulfonate causes accumulation of somatic cell mutations without expansion of bronchial-carcinoma-specific cancer driver mutations (2024)
    2 citations DOI OpenAlex
  • CarcSeq detection of lorcaserin-induced clonal expansion of<i>Pik3ca</i>H1047R mutants in rat mammary tissue (2024)
    4 citations DOI OpenAlex
  • <scp>Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing</scp> (<scp>IWGT</scp>) (2024)
    3 citations DOI OpenAlex
  • Abstract 2440: Cancer driver mutations as quantitative biomarkers of cancer risk interspecies analyses using CarcSeq (2024)
  • Interpretation of in vitro concentration‐response data for risk assessment and regulatory decision‐making: Report from the 2022 <scp>IWGT</scp> quantitative analysis expert working group meeting (2023)
    6 citations DOI OpenAlex
  • Error-corrected next generation sequencing – Promises and challenges for genotoxicity and cancer risk assessment (2023)
    54 citations DOI OpenAlex
  • Interpretation of In Vitro Concentration-Response Data for Risk Assessment and Regulatory Decision-making: Report from 2022 IWGT Quantitative Analysis Expert Working Group Meeting (2023)
    2 citations DOI OpenAlex
  • Error-corrected next-generation sequencing to advance nonclinical genotoxicity and carcinogenicity testing (2023)
    38 citations DOI OpenAlex
  • Launching the “Projections” series in mutation research reviews with a special issue on next generation sequencing (2021)
  • Assessment of Clonal Expansion Using CarcSeq Measurement of Lung Cancer Driver Mutations and Correlation With Mouse Strain- and Sex-Related Incidence of Spontaneous Lung Neoplasia (2021)
    6 citations DOI OpenAlex
  • A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency (2021)
    58 citations DOI OpenAlex
  • Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions (2021)
    38 citations DOI OpenAlex

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Collaboration Network

114 Collaborators 57 Institutions 11 Countries

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