Ronald L. Johnson Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Ronald L. Johnson's research interests encompass the validation of microbiological methods for food safety, particularly concerning <i>Salmonella</i> and <i>E. coli</i> detection. He has investigated the efficacy of specific detection methods, such as the GENE-UP® system, across various food matrices and environmental surfaces. His work also extends to the complexities of microbiology method validation to meet diverse regulatory requirements, including those specific to cannabis testing.
Beyond food microbiology, Johnson's research has explored other scientific domains. He has contributed to studies involving the distribution and habitat characteristics of wildlife, specifically the Ozark pocket gopher. Additionally, his publications include work on high-throughput screening assays for molecules that induce DNA replication in human cancer cells, indicating an interest in cancer research methodologies. Johnson leads a research group and has a significant publication record with an h-index of 38 and over 10,000 citations.
Metrics
- h-index: 39
- Publications: 224
- Citations: 11,534
Selected Publications
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Distribution and Habitat Characteristics of the Ozark Pocket Gopher, Geomys bursarius ozarkensis (2025)
Collaboration Network
Top Collaborators
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Evaluation of the GENE-UP®<i>Salmonella</i> Method for the Detection of <i>Salmonella</i> Species in a Broad Range of Foods and Select Environmental Surfaces: Collaborative Study, First Action 2020.02
- Evaluation of the GENE-UP® EHEC Detection Method for the Detection of Enterohemorrhagic <i>E. coli</i> in Select Foods: Collaborative Study: First Action Method 2020.06
- Understanding the Complexity of Microbiology Method Validation to Meet State-Specific Requirements for Cannabis
- Evaluation of the GENE-UP®<i>Salmonella</i> Method for the Detection of <i>Salmonella</i> Species in a Broad Range of Foods and Select Environmental Surfaces: Collaborative Study, First Action 2020.02
- Evaluation of the GENE-UP® EHEC Detection Method for the Detection of Enterohemorrhagic <i>E. coli</i> in Select Foods: Collaborative Study: First Action Method 2020.06
- Understanding the Complexity of Microbiology Method Validation to Meet State-Specific Requirements for Cannabis
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Supplementary Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Data from An Image-Based, High-Throughput Screening Assay for Molecules that Induce Excess DNA Replication in Human Cancer Cells
- Evaluation of the GENE-UP®<i>Salmonella</i> Method for the Detection of <i>Salmonella</i> Species in a Broad Range of Foods and Select Environmental Surfaces: Collaborative Study, First Action 2020.02
- Validation Study for VERIPRO® SARS-CoV-2 Env Assay for the Detection of SARS-CoV-2 from Stainless-Steel Environmental Surface Swabs: Emergency Response Validation<i>—</i>AOAC <i>Performance Tested Method</i>SM 122001
- Validation Study for VERIPRO® SARS-CoV-2 Env Assay for the Detection of SARS-CoV-2 from Stainless-Steel Environmental Surface Swabs: Emergency Response Validation<i>—</i>AOAC <i>Performance Tested Method</i>SM 122001
- Validation Study for VERIPRO® SARS-CoV-2 Env Assay for the Detection of SARS-CoV-2 from Stainless-Steel Environmental Surface Swabs: Emergency Response Validation<i>—</i>AOAC <i>Performance Tested Method</i>SM 122001
- Validation Study for VERIPRO® SARS-CoV-2 Env Assay for the Detection of SARS-CoV-2 from Stainless-Steel Environmental Surface Swabs: Emergency Response Validation<i>—</i>AOAC <i>Performance Tested Method</i>SM 122001
- Evaluation of the GENE-UP® EHEC Detection Method for the Detection of Enterohemorrhagic <i>E. coli</i> in Select Foods: Collaborative Study: First Action Method 2020.06
- Evaluation of the GENE-UP® EHEC Detection Method for the Detection of Enterohemorrhagic <i>E. coli</i> in Select Foods: Collaborative Study: First Action Method 2020.06
- The National Cancer Institute and Cannabis and Cannabinoids Research
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