LabCompass

Raed Hailat

Medicine · The Ohio State University

Early career · publishing since 2017Rising activity

Publications

31

Citations

149

Est. group size

~4

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

Raed Hailat's research has shifted over time from nutrition and metabolic studies (vitamin D supplementation, homocysteine, polycystic ovary syndrome) and infectious disease topics (COVID-19, Q fever) toward stroke care research, focusing on rehabilitation outcomes, hospital readmissions, and use of large registry and claims datasets, including machine learning approaches to predict patient outcomes after stroke. This makes the work relevant to students interested in clinical outcomes research, health data analytics, and stroke recovery.

Stroke rehabilitation and recovery outcomesHospital readmission prediction using registry and claims dataMachine learning applications in clinical outcomes researchVitamin D and metabolic/nutritional health studiesCOVID-19 clinical characteristics and treatment

Publication output was modest and variable from 2017 to 2023, then increased sharply in 2024-2026, suggesting a growing and more active recent research output centered on stroke outcomes research.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
2017: 2 publications172018: 3 publications182019: 1 publication192020: 4 publications202021: 2 publications212022: 1 publication22232024: 3 publications242025: 8 publications8252026: 7 publications26
Recent publications
Publishes in
  • Stroke×11
  • medRxiv×3
  • Nutrition Research×2
  • Zenodo (CERN European Organization for Nuclear Research)×2
  • Clinical Nutrition×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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