Audrey Goldbaum
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
40
Citations
79
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2014
Audrey Goldbaum's work sits at the intersection of nutrition science, cancer risk, and molecular biology, examining how dietary patterns and eating schedules relate to cancer risk and metabolic disease. A notable methodological contribution focuses on improving the detection of changes in blood microRNA (small molecules that regulate gene activity) by better accounting for variability in experimental design. Other work looks at how diet affects fat tissue and inflammation-related gene expression in animal models.
Output was sparse and irregular for most of the decade, with a large one-time spike in 2023 (likely tied to a single multi-part publication with many supplementary files) followed by a return to a low, steady trickle of papers in 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- The 2018 World Cancer Research Fund/American Institute for Cancer Research Score and Cancer Risk: results from the diabetes prevention program outcomes study
American Journal of Clinical Nutrition · 2025
- Examining Dietary Patterns in the American Population
Current Developments in Nutrition · 2025
- Time-restricted eating and cancer: lessons learned and considerations for a path forward
JNCI Journal of the National Cancer Institute · 2024
- Supplementary Legends from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Figure S4 from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Figure S2 from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Figure S1 from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Figure S3 from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Methods from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Results from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Data from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Data from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Results from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Figure S2 from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- Supplementary Figure S1 from Improving Power to Detect Changes in Blood miRNA Expression by Accounting for Sources of Variability in Experimental Designs
2023
- The FASEB Journal×2
- Journal of Nutrition×1
- Nutrition and Cancer×1
- JNCI Journal of the National Cancer Institute×1
- Cancer Prevention Research×1
- Mara S. Varvil
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Ahmed Mansour
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Andrea L. Kasinski
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Anirban Mitra
Biochemistry, Genetics and Molecular Biology · Indiana University
- Anqi Li
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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