LabCompass

Arlyne Thung

Medicine · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2010
Anesthesia and Sedative AgentsAnesthesia and Pain ManagementAnesthesia and Neurotoxicity ResearchObstructive Sleep Apnea ResearchRespiratory Support and Mechanisms

Publications

29

Citations

423

Est. group size

~2

Recurring co-author estimate

Active years

17

Publishing since 2010

Research summary
AI-generated

Arlyne Thung's work focuses on pediatric anesthesia, particularly pain management and perioperative care for children undergoing surgeries such as tonsillectomy, adenoidectomy, and diaphragmatic hernia repair. The research often examines ways to reduce opioid use, manage postoperative pain with alternatives like acetaminophen, and improve sedation practices for imaging procedures like MRI in children. Studies typically involve retrospective reviews and clinical trials assessing safety and outcomes of anesthesia techniques in young patients.

Pediatric anesthesiaOpioid-sparing pain managementPerioperative care in childrenSedation for pediatric imaging (MRI)Post-surgical outcomes in ENT and pediatric surgery

Publication output was concentrated between 2017 and 2020 with several papers per year, followed by a multi-year gap and only sporadic single publications since 2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 0.6/year recently
2017: 3 publications172018: 4 publications418192020: 4 publications4202122232024: 1 publication242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • Journal of the American College of Radiology×2
  • Laryngoscope Investigative Otolaryngology×2
  • Journal of Pain Research×2
  • Journal of Laparoendoscopic & Advanced Surgical Techniques×2
  • International Journal of Pediatric Otorhinolaryngology×2
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By research-topic overlap

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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