Galina Glazko Institution Verified
Sourced from institutional research profiles (UAMS TRI or ARA).
Associate Professor
University of Arkansas for Medical Sciences
faculty
Biomedical Informatics, College of Medicine
Research Areas
Biography and Research Information
OverviewAI-generated summary
Galina Glazko's research focuses on the application of advanced computational and analytical techniques to biological and medical data. Her work includes investigating gene expression patterns in various organisms, such as rice and humans, to understand biological processes and disease mechanisms. She has published research on prognostic gene expression signatures in breast cancer, exploring their biological relevance, and has examined gene expression in rice under stress conditions and in association with bacteria.
Dr. Glazko also contributes to research on viral evolution and human-AI convergence. Her publications include an analysis of evolutionary perspectives on SARS-CoV, specifically a deletion in the ORF8 gene, and a broader discussion on the evolutionary aspects of human-artificial intelligence collaboration. Her scholarship metrics include an h-index of 35 and over 5,300 citations across 116 publications, designating her as a highly cited researcher.
Her collaborations extend to researchers within the University of Arkansas for Medical Sciences, including Yasir Rahmatallah and Boris Zybailov, as well as to institutions such as Ouachita Baptist University with Nathan S. Reyna and the University of Central Arkansas with John Cook.
Metrics
- h-index: 35
- Publications: 116
- Citations: 5,357
Selected Publications
- ZNF16 is a nucleolar-associated protein that regulates expression of rDNA and cancer-associated genes (2025) DOI
- Structural heterogeneity and functional convergence of transposable elements (2025) DOI
- ZNF16 is a nucleolar-associated protein that regulates expression of the rDNA and cancer-associated genes (2025) DOI
- Bos taurus and Bison bison conservative retrotransposon recombination products (2025) DOI
- Improving data interpretability with new differential sample variance gene set tests (2025) DOI
- Evolutionary Perspectives on Human-Artificial Intelligence Convergence (2024) DOI
- Improving data interpretability with new differential sample variance gene set tests (2024) DOI
- Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research (2024) DOI
- Additional file 8 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023) DOI
- Additional file 3 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023) DOI
- Additional file 5 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023) DOI
- Additional file 4 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023) DOI
- Additional file 7 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023) DOI
- Additional file 6 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023) DOI
- Additional file 1 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023) DOI
Collaborators
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