LabCompass

Stephen Bruehl

Medicine · The Ohio State University

Established · publishing since 1991

Publications

295

Citations

16,026

Est. group size

~3

Recurring co-author estimate

Active years

36

Publishing since 1991

Research summary
AI-generated

Stephen Bruehl's research focuses on chronic pain, including how the nervous system amplifies pain signals (sensitization), predicting which patients develop persistent high-impact pain, and testing behavioral and clinical treatments for conditions like fibromyalgia, complex regional pain syndrome, and pelvic/bladder pain. The work combines clinical trials, quantitative sensory testing, psychological (cognitive-behavioral) interventions, and machine learning applied to electronic health records. Note: the publication list also includes unrelated papers on astronomical transients and unidentified anomalous phenomena, which appear to be from a different author with the same name rather than this pain-research profile.

Chronic pain mechanisms and sensitizationClinical trial design for pain syndromes (e.g., CRPS, fibromyalgia)Predicting pain outcomes using machine learning and EHR dataCognitive-behavioral therapy for pelvic and bladder painOpioid use and pain management in surgical/pediatric settings

Publication output has been relatively steady over the last decade, averaging about 12 papers per year, with modest fluctuations and no clear long-term increase or decline.

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

Publication cadence
Publications per year over the last 10 years — averaging 12.4/year recently
2017: 17 publications17172018: 10 publications182019: 11 publications192020: 12 publications202021: 15 publications212022: 16 publications222023: 17 publications17232024: 11 publications242025: 12 publications252026: 6 publications26
Recent publications
Publishes in
  • Pain×23
  • Journal of Pain×23
  • Clinical Journal of Pain×10
  • Pain Medicine×9
  • The Journal of Urology×6
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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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