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Ming-Tao Zhao

Biochemistry, Genetics and Molecular Biology · The Ohio State University

OpenAlex
Early career · publishing since 2017
Pluripotent Stem Cells ResearchCongenital heart defects researchCannabis and Cannabinoid ResearchNatural Compound Pharmacology StudiesTissue Engineering and Regenerative Medicine

Publications

13

Citations

498

Est. group size

—

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

Ming-Tao Zhao's research focuses on how heart cells develop and mature, using stem cell models (such as induced pluripotent stem cells) to study cardiac differentiation, tissue engineering, and vascular biology. Recent work also explores cannabinoid receptor signaling as a potential target for treating blood vessel dysfunction linked to atherosclerosis (plaque buildup in arteries). This work combines molecular biology, genomics, and bioengineering approaches to understand and potentially treat heart and blood vessel diseases.

Stem cell-derived cardiomyocytes and cardiac differentiationCardiovascular tissue engineering and heart muscle maturationGenomics and transcriptome analysis of heart developmentCannabinoid receptor signaling in vascular diseaseRegenerative medicine for heart and blood vessel repair

Publication output was modest and intermittent over the past decade, with a gap in the early 2020s followed by a sharp increase in 2026 driven largely by multiple outputs tied to a single study.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.2/year recently
2017: 3 publications172018: 2 publications18192020: 1 publication202021: 1 publication212223242025: 1 publication252026: 5 publications526
Recent publications
Publishes in
  • Figshare×3
  • Stem Cells×1
  • Circulation Research×1
  • Proceedings of the National Academy of Sciences×1
  • Cell stem cell×1
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By research-topic overlap
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  • Mark E. Hester

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  • Luke R. Lemmerman

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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.

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