Frank Iorfino is an expert in Psychiatry at University of Sydney (Australia). As of October 2026, ScienceLeadR ranks Frank Iorfino in the top 1% of experts worldwide for Mental Health Services. Frank Iorfino has authored 133 publications, the most recent in 2026. SLR score: 479 (community average: 125). How the SLR is computed.

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Frank Iorfino University of Sydney Australia
479 ScienceLeadR Reputation 479
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Psychiatry

Subspecialties: Informatics - Psychology - Public Health

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: 2016 - 2026

Source: PubMed

University of Sydney

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 133

Citations

Citations: 1 654 1st author: 19 Last author: 34 Unique author: 1


Best Journals

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Longer Sleep Duration Predicts Progression to Bipolar or Psychotic Disorders in Youth Accessing Early Intervention Mental Health Services.
PMID 42755433 — bipolar disorder, early intervention, educational, sleep, mental disorders, actigraphy, psychotic disorders, mental health, health services, mental health services
Bipolar Disord20260
Emerging Adults' Experiences of Digital Measurement-Based Care in Routine Mental Health Care: Qualitative Study and Conceptual Synthesis.
PMID 42727052 — research design, therapeutics, qualitative research, mental health
JMIR Form Res20260
A cross-sectional survey of general practitioners' perspectives on wait times for adolescent mental health specialists and services in Australia.
PMID 42509198 — depression, general practitioners, cross-sectional studies, adolescent, therapeutics, mental health, mental health services, psychiatrists
Aust J Prim Health20260
Rethinking AI in youth mental health: promise, perils, and ethical integration.
PMID 42374532 — artificial intelligence, mental health
Int J Ment Health Syst20260
Young people's perceptions and recommendations for conversational generative artificial intelligence in youth mental health.
PMID 42321405 — intelligence, perception, work, artificial intelligence, mental health, generative artificial intelligence
NPJ Digit Med20264

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