Felipe Barreto Schuch is an expert in Psychiatry at Universidad Autónoma de Chile (Chile). As of October 2026, ScienceLeadR ranks Felipe Barreto Schuch in the top 1% of experts in Chile for depressive disorder, major. Felipe Barreto Schuch has authored 348 publications, the most recent in 2026, and is an investigator in 7 clinical trials. SLR score: 1,053 (community average: 125). How the SLR is computed.

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Felipe Barreto Schuch Universidad Autónoma de Chile Chile
1 053 ScienceLeadR Reputation 1053
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Psychiatry

Subspecialties: Sports Medicine - Psychology - Public Health

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2011 - 2026

Source: PubMed

Universidade Federal de Santa Maria

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 348

Citations

Citations: 24 149 1st author: 36 Last author: 38 Unique author: 4


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Well-being differences and changes in people with somatic and psychiatric disorders or multimorbidities: modelling COVID-19 as a global natural experiment of stress vulnerability.
PMID 42686352 — bulimia, mental disorders, stress, physiological, covid-19, schizophrenia, multimorbidity, stress disorders, traumatic, diagnosis, pandemics, mental health
BMJ Ment Health20260
Sedentary Behavior and Physical Activity in Individuals With Bipolar Disorder: An Evidence Synthesis and Position Statement From the ISBD Nutrition and Exercise Task Force (NExT).
PMID 42545207 — depression, exercise, mania, bipolar disorder, sedentary behavior, mental health
Bipolar Disord20262
Motivational regulations for exercise in Brazilian outpatients with bipolar disorder: An analysis based on the self-regulation theory.
PMID 42520045 — exercise, bipolar disorder, self-control, motivation, outpatients
PLoS One20260
Identifying cluster profiles based on barriers and facilitators to physical activity during COVID-19 confinement: A cross-sectional study using machine learning analysis.
PMID 42507738 — exercise, cross-sectional studies, machine learning, covid-19, learning, demography
PLoS One20260
Dropout From Exercise Interventions in Autistic Youth: A Systematic Review and Meta-analysis.
PMID 42474956 — exercise, patient dropouts, child development, autistic disorder, adolescent, prevalence, child
J Autism Dev Disord20260

Clinical Studies 7

Sources: ClinicalTrials, EU CTIS

Synthesis

By phase:

N/A 5
Phase 3 2

By status:

Completed 5
Unknown 2

By type:

Interventional 6
Observational 1

By Monocentric/Multicentric:

monocentric 5
multicentric2to4 0
multicentric5to9 0
multicentricup10 2

Main Topics

Cohort/Consortium Investigators 1

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