Biography
Dr. Rizvi is a professor of Pharmaceutical & Biomedical Sciences and a broadly trained scientist, educator, and healthcare contributor with vast Clinical and Translational Research experience, driving innovation within pharmaceutical product development platforms. Highly motivated and committed to advancing medical innovation and education, discovering new therapies, improving patient outcomes, and playing an instrumental role in scientific and business strategies. Equipped with extensive training with over 27 years of experience in industrial, academic, administration, and healthcare settings.
Dr. Rizvi has published over 250 peer-reviewed articles (cited over thousands of times), spanning journal publications, book chapters, books, US patents, and oral/poster presentations. His publications include highly rated cover articles, a testament to the quality and impact of his work. He also serves on the Editorial Boards/Panels of different journals (in various capacities) and reviews manuscripts and books for over 300 well-known scientific publications (journals and books).
Research Interest
- Clinical and Translational Research (Including clinical trials)
- Pharmaceutical Formulations & Bioavailability Enhancement
- Nanotechnology & Drug Delivery
- Ionic Liquid Formation and Cocrystallization of Pharmaceutical Compounds
- Pharmaceutical Analysis, Forensics, and Method Development
- Design and Synthesis of Novel Surfactants for Chiral and Achiral Separations
- Isolation and Pharmacology of Compounds from Fungal Metabolites and Medicinal Plants

Editor
Work Details
Professor
Larkin University & Larkin Community Hospital
College of Biomedical Sciences
USA
Contribution by Topic Area
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Which articles are now trending?
Research Articles
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Ammonia: A Trend of Dry Deposition in Vietnam
- Biomimetic Synthesis of Calcium Carbonate in Bile in the presence of Amino Acids
- Assessment of Thermal Uniformity of Heating Plates Using a Thermal Imaging Camera
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
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