Rebecca D. Jackson
Biochemistry, Genetics and Molecular Biology · The Ohio State University
Publications
76
Citations
5,764
Est. group size
—
Recurring co-author estimate
Active years
37
Publishing since 1989
Rebecca D. Jackson's research uses large-scale genetic studies to understand cardiovascular disease, diabetes, bone health, and blood lipid levels, often analyzing genetic data from diverse populations including African and European ancestry groups. This work involves genome-wide association studies (GWAS), which scan the entire genetic code to find variants linked to disease risk, and meta-analyses that combine data from many studies to improve statistical power. The research has practical relevance for understanding disease risk across different ancestral populations and for identifying genes involved in conditions like coronary artery disease, venous thromboembolism, and osteoporosis.
Publication output has fluctuated over the last decade, with a notable increase in 2020 and 2023, though the yearly count varies considerably rather than showing a steady linear trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Prescribing with precision: fluids, food and furosemide
Clinical Medicine · 2025
- Marginal gains: school improvement approaches that build on success and assist in addressing educational equity
2025
- A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
UNC Libraries · 2024
- A Meta-Analysis of the Transferability of Bone Mineral Density Genetic Loci Associations From European to African Ancestry Populations
UNC Libraries · 2024
- <b>Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus</b>
2024
- <b>Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus</b>
2024
- Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People With Type 2 Diabetes
Diabetes Care · 2024
- Rare variant contribution to the heritability of coronary artery disease
Nature Communications · 2024
- Additional file 1 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
UWA Profiles and Research Repository (University of Western Australia) · 2023
- Additional file 7 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
UWA Profiles and Research Repository (University of Western Australia) · 2023
- Additional file 30 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
UWA Profiles and Research Repository (UWA) · 2023
- Additional file 29 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
UWA Profiles and Research Repository (University of Western Australia) · 2023
- Additional file 21 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis
UWA Profiles and Research Repository (University of Western Australia) · 2023
- Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus
medRxiv · 2023
- Whole Genome Analysis of Venous Thromboembolism: the Trans-Omics for Precision Medicine Program
Circulation Genomic and Precision Medicine · 2023
- UNC Libraries×7
- UWA Profiles and Research Repository (University of Western Australia)×4
- medRxiv×3
- PLoS Genetics×2
- Journal of Bone and Mineral Research×2
- Jennifer Wessel
Biochemistry, Genetics and Molecular Biology · Indiana University
- Rebecca D. Jackson
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Robbee Wedow
Biochemistry, Genetics and Molecular Biology · Indiana University
- Evelina T. Akimova
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Alexander Gusev
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
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 19, 2026.
Claim or correct this profile