LabCompass

Xiaodan Hu

Medicine · The Ohio State University

Early career · publishing since 2021Rising activity

Publications

11

Citations

18

Est. group size

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Xiaodan Hu's research focuses on type 1 diabetes, particularly on identifying and predicting microvascular complications (damage to small blood vessels, such as in the eyes or kidneys) using clinical data and continuous glucose monitoring. Related work also touches on metabolic syndrome in diabetes and, in at least one study, on brain microvasculature after traumatic injury in animal models. This research would suit students interested in clinical data analysis, diabetes complications, and vascular health.

Type 1 diabetes complicationsContinuous glucose monitoring and glycemic variabilityMetabolic syndromePredictive algorithms for clinical riskMicrovascular health imaging

Publication output was minimal or absent for most of the past decade but has increased noticeably since 2023, with the highest activity in 2025 and 2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
171819202021: 1 publication21222023: 1 publication232024: 1 publication242025: 4 publications4252026: 4 publications426
Publishes in
  • Head & Neck×2
  • Mass Communication & Society×1
  • Diabetology & Metabolic Syndrome×1
  • Healthcare×1
  • Journal of Social and Personal Relationships×1
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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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