S
Svitlana Shpyleva Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
15 h-index
33 pubs
1,419 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Svitlana Shpyleva's research focuses on the molecular mechanisms underlying neoplastic gene expression regulation, with a particular emphasis on DNA methylation and microRNA involvement. Her work investigates the potential of antineoplastic agents and has been supported by collaborations with researchers at the National Center for Toxicological Research, including Leihong Wu and Joshua Xu. Shpyleva has published 31 papers, accumulating 1,414 citations and an h-index of 15, indicating a consistent output of scholarly work. Recent publications explore the application of large language models in pharmacovigilance and the development of benchmark datasets for regulatory literature review, alongside studies on the pharmacokinetics of compounds like cannabidiol in animal models. Her research interests span both fundamental biological processes and the application of computational tools to advance toxicological and pharmaceutical research.
Metrics
- h-index: 15
- Publications: 33
- Citations: 1,419
Selected Publications
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Pharmacokinetics of cannabidiol and its metabolites in rhesus monkeys and New Zealand White rabbits (2025)
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Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study (2024)
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Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review (2022)
Collaboration Network
Top Collaborators
Leihong Wu
United States Food and Drug Administration
2 shared publications
In database
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Joshua Xu
United States Food and Drug Administration
2 shared publications
In database
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Si Chen
United States Food and Drug Administration
1 shared publication
In database
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Lei Guo
United States Food and Drug Administration (US)
1 shared publication
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Kelly C. Harris
United States Food and Drug Administration (US)
1 shared publication
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Tariq Fahmi
National Center for Toxicological Research
1 shared publication
In database
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Timothy Flanigan
National Center for Toxicological Research (US)
1 shared publication
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Weida Tong
National Center for Toxicological Research (US)
1 shared publication
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Zhen Ren
National Center for Toxicological Research (US)
1 shared publication
- Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Dan Li
United States Food and Drug Administration (US)
1 shared publication
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study
Mingfeng Zhang
United States Food and Drug Administration (US)
1 shared publication
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study
Ying-Chi Lin
Kaohsiung Medical University (TW)
1 shared publication
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study
Ho-Yin Huang
Kaohsiung Medical University (TW)
1 shared publication
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study
Ting Li
National Center for Toxicological Research (US)
1 shared publication
- Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study
Qiangen Wu
Biochemical Society
1 shared publication
In database
- Pharmacokinetics of cannabidiol and its metabolites in rhesus monkeys and New Zealand White rabbits
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