Mohammad Ali Moni is an expert in Informatics at Garvan Institute of Medical Research (Australia). As of October 2026, ScienceLeadR ranks Mohammad Ali Moni in the top 1% of experts worldwide for Machine Learning and Artificial Intelligence. Mohammad Ali Moni has authored 379 publications, the most recent in 2026. SLR score: 1,306 (community average: 125). How the SLR is computed.

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Mohammad Ali Moni Garvan Institute of Medical Research Australia
1 306 ScienceLeadR Reputation 1306
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Informatics

Subspecialties: Public Health - Infectiology - Biochemistry

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2013 - 2026

Source: PubMed

UNSW Sydney

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 379

Citations

Citations: 35 509 1st author: 13 Last author: 193 Unique author: 0


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Global, regional, and national burden of tuberculosis and multidrug-resistant tuberculosis by HIV status, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023.
PMID 42385762 — fasting, mortality, tuberculosis, multidrug-resistant, incidence, global health, pharmaceutical preparations, global burden of disease, hiv, tuberculosis, risk factors, morbidity, cost of illness, smoking, communicable diseases, plasma
Lancet Infect Dis Top journal20262
Retraction notice to "A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue" [Computers in Biology and Medicine 113 (2019) 103385].
PMID 42830240 — cells, blood, parkinson disease, computers, brain, biomarkers, blood cells, tissues
Comput Biol Med20260
Global, Regional, and National Burden of Myocarditis and Its Impairment, 1990-2023.
PMID 42684212 — mortality, incidence, heart failure, heart, cardiology, myocarditis, prevalence
J Am Coll Cardiol20261
Explainable hybrid multi-branch CNN-ViT-GNN framework for robust hibiscus leaf disease classification.
PMID 42642444 — multiple chronic conditions, classification, diagnosis
Sci Rep20261
Measuring the composition and availability of human resources for health by sex in 204 countries and territories, 1990-2023, and workforce gaps for universal health coverage: a systematic analysis for the Global Burden of Disease Study 2023.
PMID 42612647 — nurses, health workforce, pharmacists, public health, global burden of disease, dentists, sex, occupations, cost of illness, retention, psychology, workforce
Lancet Public Health20261

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