Defang Ouyang is an expert in Pharmacy at University of Macau (China). As of October 2026, ScienceLeadR ranks Defang Ouyang in the top 1% of experts worldwide for Machine Learning, Drug Development and Artificial Intelligence. Defang Ouyang has authored 139 publications, the most recent in 2026. SLR score: 598 (community average: 125). How the SLR is computed.

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Defang Ouyang University of Macau China
598 ScienceLeadR Reputation 598
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Pharmacy

Subspecialties: Biochemistry - Informatics - Immunology

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: 2009 - 2026

Source: PubMed

University of Macau

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 139

Citations

Citations: 4 247 1st author: 4 Last author: 69 Unique author: 0


Best Journals

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Nanomaterial-driven spatiotemporal autophagy modulation: The dual-edged sword in precision cancer therapy.
PMID 42765004 — cells, autophagy, stress, physiological, neoplasms, nanostructures, therapeutics
Acta Pharm Sin B20260
Integrative drug repositioning identifies FDA-approved inhibitors of HSP90AA1 with therapeutic potential in colorectal cancer.
PMID 42628382 — cells, biochemistry, pharmaceutical preparations, danazol, neoplasms, therapeutics, colorectal neoplasms
Bioorg Chem20260
Artificial Intelligence for Drug Delivery.
PMID 42611224 — intelligence, pharmaceutical preparations, machine learning, deep learning, precision medicine, therapeutics, artificial intelligence, nanotechnology, medical devices
ACS Nano20262
Dissecting corneal drug permeability under experimental variability and drug cold-start challenges via hybrid machine learning.
PMID 42557467 — pharmaceutical preparations, cold temperature, machine learning, drug delivery systems, learning
Drug Deliv Transl Res20260
Understanding the molecular insights of marketed liposomal drugs using molecular dynamics simulations of reduced scale coarse-grained models.
PMID 42380585 — pharmaceutical preparations, liposomes, molecular dynamics simulation, membranes
NPJ Drug Discov202513

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