Jeremy L. Warner Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
John Brown University
faculty
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Biography and Research Information
OverviewAI-generated summary
Dr. Jeremy L. Warner is a professor at John Brown University whose research encompasses cancer genomics, diagnostics, and the application of bioinformatics to biomedical challenges. His work includes the development of standards for classifying the pathogenicity of somatic variants in cancer, as well as analysis of longitudinal genomic and clinical data. Warner also investigates the intersection of cancer and infectious disease, including studies of COVID-19 vaccination and breakthrough infections in cancer patients, and the efficacy of convalescent plasma therapy for those with hematologic cancers. Additionally, he contributes to the development of computable representations of clinical data. His work spans lung cancer treatments and mutations, with a focus on text mining and genomic networks.
Metrics
- h-index: 44
- Publications: 603
- Citations: 9,005
Selected Publications
- Heterogeneity of the Treatment Effect with PARP Inhibitors in Metastatic Castration-resistant Prostate Cancer: A Living Interactive Systematic Review and Meta-analysis (2025) DOI
- Collaborative large language models for automated data extraction in living systematic reviews (2025) DOI
- Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality (2024) DOI
- SEETrials: Leveraging large language models for safety and efficacy extraction in oncology clinical trials (2024) DOI
- Travel-Time Disparities in Access to Proton Beam Therapy for Cancer Treatment (2024) DOI
- The evolving posology and administration of immune checkpoint inhibitors: subcutaneous formulations (2024) DOI
- Inferring Gender from First Names: Comparing the Accuracy of Genderize, Gender API, and the gender R Package on Authors of Diverse Nationality (2024) DOI
- Burden of AML, 1990-2019: Estimates From the Global Burden of Disease Study (2023) DOI
- Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics (2023) DOI
- Analysis and Visualization of Longitudinal Genomic and Clinical Data from the AACR Project GENIE Biopharma Collaborative in cBioPortal (2023) DOI
- Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy (2023) DOI
- The GENIE BPC NSCLC Cohort: A Real-World Repository Integrating Standardized Clinical and Genomic Data for 1,846 Patients with Non–Small Cell Lung Cancer (2023) DOI
- An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts (2023) DOI
- Breakthrough SARS-CoV-2 infections among patients with cancer following two and three doses of COVID-19 mRNA vaccines: a retrospective observational study from the COVID-19 and Cancer Consortium (2023) DOI
- COVID-19 severity by vaccination status in the NCI COVID-19 and Cancer Patients Study (NCCAPS) (2023) DOI
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