Galina Glazko Institution-verified

Sourced from institutional research profiles (UAMS TRI or ARA).

High Impact

Associate Professor

UAMS

Last publication 2025 Last refreshed 2026-05-16

faculty

Biomedical Informatics, College of Medicine

gvglazko@uams.edu

35 h-index 120 pubs 5,422 cited

Research Areas

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OverviewAI-generated summary

Galina Glazko investigates gene expression patterns and their biological significance, particularly in the context of disease and biological stress responses. Her work has examined prognostic gene expression signatures in breast cancer, questioning their biological meaning. Glazko also studies the role of gene expression in plant-microbe interactions, specifically how bacteria influence rice growth under various conditions, including salt stress. This research involves analyzing the regulation of key genes involved in stress response and nutrient transport.

Her research extends to computational biology and bioinformatics, with an interest in phylogenetic studies and the evolutionary aspects of biological systems. Glazko has explored the application of text-mining techniques for determining optimal topic numbers in research, and has contributed to understanding evolutionary perspectives on human-artificial intelligence convergence. Her work also touches on viral evolution, such as the selection pressures on SARS-CoV ORF8 deletions. Glazko's scholarship metrics include an h-index of 35 and over 5,300 citations from 120 publications.

Metrics

h-index: 35
Publications: 120
Citations: 5,422

Selected Publications

ZNF16 is a nucleolar-associated protein that regulates expression of rDNA and cancer-associated genes (2025)

DOI OpenAlex
Structural heterogeneity and functional convergence of transposable elements (2025)

DOI OpenAlex
ZNF16 is a nucleolar-associated protein that regulates expression of the rDNA and cancer-associated genes (2025)

DOI OpenAlex
Bos taurus and Bison bison conservative retrotransposon recombination products (2025)

DOI OpenAlex
Improving data interpretability with new differential sample variance gene set tests (2025)

DOI OpenAlex
Evolutionary Perspectives on Human-Artificial Intelligence Convergence (2024)

5 citations DOI OpenAlex
Improving data interpretability with new differential sample variance gene set tests (2024)

DOI OpenAlex
Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research (2024)

42 citations DOI OpenAlex
Additional file 8 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023)

DOI OpenAlex
Additional file 3 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023)

DOI OpenAlex
Additional file 5 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023)

DOI OpenAlex
Additional file 4 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023)

DOI OpenAlex
Additional file 7 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023)

DOI OpenAlex
Additional file 6 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023)

DOI OpenAlex
Additional file 1 of The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection (2023)

DOI OpenAlex