Ting Liu
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Research Associate
Postdoc Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ting Liu's research interests span multiple domains, including cardiovascular function, renal fibrosis, and environmental science. Liu has published work investigating the molecular mechanisms underlying myocardial infarction, specifically focusing on an IL-6/STAT3/MR/FGF21 axis that mediates heart-liver cross-talk. Further work has explored the role of Twist1 in regulating macrophage plasticity and promoting renal fibrosis through galectin-3. In the environmental realm, Liu has contributed to a review on adsorbents for elemental mercury removal in various industrial flue gases and natural gas. Liu's scholarship metrics include an h-index of 27, with over 3,100 citations across more than 200 publications. Liu is recognized as a highly cited researcher.
Collaborations include work with Rebecca Logsdon Muenich, Arghajeet Saha, and Barira Rashid, all affiliated with the University of Arkansas at Fayetteville. These collaborations have resulted in shared publications, indicating active engagement within the research community at the institution. Liu's recent activity and publication record demonstrate an ongoing contribution to scientific literature.
Metrics
- h-index: 27
- Publications: 204
- Citations: 3,101
Selected Publications
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Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture (2026)
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Gaps in U.S. livestock data are a barrier to effective environmental and disease management (2025)
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Machine learning-based identification of animal feeding operations in the United States on a parcel-scale (2025)
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Modeling green infrastructure as a flood mitigation strategy in an urban coastal area (2024)
Collaboration Network
Top Collaborators
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture
- Modeling green infrastructure as a flood mitigation strategy in an urban coastal area
- Modeling green infrastructure as a flood mitigation strategy in an urban coastal area
- Modeling green infrastructure as a flood mitigation strategy in an urban coastal area
- Modeling green infrastructure as a flood mitigation strategy in an urban coastal area
- Modeling green infrastructure as a flood mitigation strategy in an urban coastal area
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Machine learning-based identification of animal feeding operations in the United States on a parcel-scale
- Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture
- Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture
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