Matthew D. Thompson
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: National Institutes of Health (2015–2017); United States Food and Drug Administration (2019–2024); Center for Drug Evaluation and Research (2019–2025); University of Louisville (2019); Texas Woman's University (2009); Lyon College (2025); University of Washington (2004); Medical College of Wisconsin (2009–2012); Cornell University (2025); Leeds Teaching Hospitals NHS Trust (2019–2024); Bexley Hall (2024); St James's University Hospital (2020); University of Arkansas Community College at Batesville (2025); IQVIA (United Kingdom) (2018–2023); Universidad Real (2024); National Cancer Institute (2012–2017); Center for Cancer Research (2014); New York State College of Veterinary Medicine (2025); Washington State University (2020); Colorado State University (2008–2010); KU Leuven (2013)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Matthew D. Thompson's research focuses on understanding cancer treatment patterns and outcomes, particularly for non-small cell lung cancer. He has investigated trends in systemic anticancer therapy prescriptions and their correlation with mortality in advanced non-small cell lung cancer patients using real-world data from the I-O Optimise initiative. His work also extends to assessing the use of bone-targeting agents in patients with bone metastases from breast, lung, or prostate cancer, utilizing both structured and unstructured electronic health records.
Thompson also explores fundamental biological mechanisms, including the role and regulation of Pif1 family helicases at the replication fork and structural features of helicases that influence their DNA interaction. His publication record includes work on multi-omics data integration for triple-negative breast cancer and the application of CUT&Tag technology for sequence identification. He has a publication record of 77 papers and an h-index of 17, with 884 citations. Thompson collaborates with several researchers at the University of Arkansas for Medical Sciences, including Alicia K. Byrd and Maroof K. Zafar.
Metrics
- h-index: 17
- Publications: 77
- Citations: 890
Selected Publications
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Untargeted CUT&Tag reads are enriched at accessible chromatin and restrict identification of potential G4-forming sequences in G4-targeted CUT&Tag experiments (2025)
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Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB (2025)
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Untargeted CUT&Tag and BG4 CUT&Tag are both enriched at G-quadruplexes and accessible chromatin (2024)
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Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB (2024)
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Role and Regulation of Pif1 Family Helicases at the Replication Fork (2022)
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Monitoring helicase-catalyzed unwinding of multiple duplexes simultaneously (2022)
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A structural feature of Dda helicase which enhances displacement of streptavidin and <i>trp</i> repressor from <scp>DNA</scp> (2021)
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Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer (2021)
Collaboration Network
Top Collaborators
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Role and Regulation of Pif1 Family Helicases at the Replication Fork
- A structural feature of Dda helicase which enhances displacement of streptavidin and <i>trp</i> repressor from <scp>DNA</scp>
- Untargeted CUT&Tag reads are enriched at accessible chromatin and restrict identification of potential G4-forming sequences in G4-targeted CUT&Tag experiments
- Untargeted CUT&Tag and BG4 CUT&Tag are both enriched at G-quadruplexes and accessible chromatin
Showing 5 of 8 shared publications
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- A structural feature of Dda helicase which enhances displacement of streptavidin and <i>trp</i> repressor from <scp>DNA</scp>
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Role and Regulation of Pif1 Family Helicases at the Replication Fork
- A structural feature of Dda helicase which enhances displacement of streptavidin and <i>trp</i> repressor from <scp>DNA</scp>
- Monitoring helicase-catalyzed unwinding of multiple duplexes simultaneously
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- A structural feature of Dda helicase which enhances displacement of streptavidin and <i>trp</i> repressor from <scp>DNA</scp>
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Rare SNP in the <i>HELB</i> gene interferes with RPA interaction and cellular function of HELB
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
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