Ali Azarbarzin is an expert in Pulmonology at Brigham and Women's Hospital (United States). As of October 2026, ScienceLeadR ranks Ali Azarbarzin in the top 1% of experts worldwide for Apnea, Sleep Apnea Syndromes and Dyssomnias. Ali Azarbarzin has authored 228 publications, the most recent in 2026, and is an investigator in 22 clinical trials, 1 of them ongoing. SLR score: 1,214 (community average: 125). How the SLR is computed.

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Ali Azarbarzin Brigham and Women's Hospital United States
1 214 ScienceLeadR Reputation 1214
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Pulmonology

Subspecialties: Sleep Medicine Specialty - Neurology - Sleep Medicine

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Expert Rankings

Top experts on the MeSH terms this expert works on

Organizations

Career arc: 2010 - 2026

Source: PubMed

Brigham and Women's Hospital

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 228

Citations

Citations: 4 827 1st author: 34 Last author: 38 Unique author: 0


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Retatrutide Once Weekly for Treatment of Obstructive Sleep Apnea.
PMID 42904878 — diabetes mellitus, sleep apnea, obstructive, sleep, apnea, body weight, sleep apnea syndromes, glucagon, therapeutics, glucagon-like peptides, diabetes mellitus, type 2
N Engl J Med Top journal20260
Beyond the apnea-hypopnea index: a call to action for a multidimensional evaluation in obstructive sleep apnea.
PMID 42741012 — quality of life, sleep apnea, obstructive, sleep, apnea, signs and symptoms, sleep apnea syndromes, therapeutics
Front Sleep20260
Oxygen overshoot burden of central sleep apnea and its association with cardiovascular outcomes.
PMID 42675346 — sleep apnea, obstructive, sleep, wakefulness, stress, physiological, apnea, sleep apnea, central, sleep apnea syndromes, oxygen saturation
J Clin Sleep Med20261
The importance of classifying central hypopneas: a call to action.
PMID 42658424 — sleep, apnea, classification, sleep apnea, central, sleep apnea syndromes, therapeutics
J Clin Sleep Med20262
Machine learning prediction of the change in sleepiness following continuous positive airway pressure in obstructive sleep apnea: a multi-cohort analysis.
PMID 42623284 — sleep apnea, obstructive, sleep, apnea, multiple chronic conditions, machine learning, sleep apnea syndromes, learning, continuous positive airway pressure, sleep wake disorders, sleepiness
Sleep20260

Clinical Studies 22

Sources: ClinicalTrials, EU CTIS

Synthesis

Principal Investigator: 1

By phase:

Phase 1/Phase 2 7
N/A 6
Phase 2 5
Phase 3 3
Phase 4 1

By status:

Completed 20
Enrolling by invitation 1
Recruiting 1

By type:

Interventional 20
Observational 2

By Monocentric/Multicentric:

monocentric 16
multicentric2to4 3
multicentric5to9 1
multicentricup10 2

Main Topics

Ongoing Clinical Trials

Ongoing trial started since 2021, where this expert is an investigator

Source: ClinicalTrials

Study Phase Status Start
Atomoxetine and DAW2022 on OSA Severity
NCT05350215 — atomoxetine hydrochloride, sleep apnea, obstructive, sleep, apnea, capsules, sleep apnea syndromes
Phase 1/Phase 2Recruiting2022

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