Ning Wu Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

Last publication 2025 Last refreshed 2026-05-16

faculty

23 h-index 100 pubs 3,001 cited

Biography and Research Information

OverviewAI-generated summary

Ning Wu's research group at the University of Arkansas at Little Rock investigates physiological and pathological processes, with recent work focusing on the roles of thioredoxin interacting protein (TXNIP) and its interactions with glucose transporter 1 (GLUT1), as well as the response of PPARγ and C/EBPα to cold stress in brown adipose tissue. Wu's group also explores the effects of excess dietary carbohydrate on mitochondrial integrity in brown adipose tissue and has published on the physiological and pathophysiological roles of TXNIP in redox inflammation and metabolism. Further research includes studying the impact of cannabidiol on post-traumatic stress disorder-like behaviors and fear memory in mice, specifically its potential to ameliorate PTSD-like symptoms by inhibiting neuroinflammation through CB2 receptors in male mice. Additionally, Wu has investigated the relationship between obesity-related anthropometric indicators and cognitive function in older adults and has utilized AI for topic modeling to compare LDA and BERTopic in analyzing opioid-related cardiovascular risks in women.

Wu has a scholarly record indicated by an h-index of 23 and over 100 total publications, with approximately 2,959 citations. The researcher has collaborated with scientists from the National Center for Toxicological Research, including Paul Rogers, Wen Zou, and Weida Tong, on shared publications. Wu is designated as a highly cited researcher.

Metrics

  • h-index: 23
  • Publications: 100
  • Citations: 3,001

Selected Publications

  • Echo Chamber Dynamics in LLMs: Mitigating Bias and Model Drift (2026)
  • AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025)
    27 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

174 Collaborators 32 Institutions 3 Countries

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