Masoud Jamei
Pharmacology · 2009–2014
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Pharmacology — 13 citations into it
- Oncology — 12 citations into it
Whom Masoud Jamei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Masoud Jamei's perspective
Ordered by how strongly the researchers Masoud Jamei trusts endorse each paper. Same corpus, a different order for every researcher.
- Role of Pharmacokinetics and Metabolism in Drug Discovery and Development
- Lipids and lipid-based formulations: optimizing the oral delivery of lipophilic drugs (Nature reviews. Drug discovery)
- Characterization of the Human Upper Gastrointestinal Contents Under Conditions Simulating Bioavailability/Bioequivalence Studies (Pharmaceutical Research)
- Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases. (Journal of Pharmacy and Science)
- Predicting the impact of physiological and biochemical processes on oral drug bioavailability. (Advanced Drug Delivery Reviews)
- Physiologically based pharmacokinetic modelling 2: predicting the tissue distribution of acids, very weak bases, neutrals and zwitterions. (Journal of Pharmacy and Science)
- Dissolution Media Simulating Conditions in the Proximal Human Gastrointestinal Tract: An Update (Pharmaceutical Research)
- Rational use of in vitro P-glycoprotein assays in drug discovery. (Journal of Pharmacology and Experimental Therapeutics)
- Pharmaceutical Quality by Design: Product and Process Development, Understanding, and Control (Pharmaceutical Research)
- Physiologically-based pharmacokinetics in drug development and regulatory science. (Annual Review of Pharmacology and Toxicology)
Their papers
- PBPK models for the prediction of in vivo performance of oral dosage forms. (2014) — 298 citations
- A framework for assessing inter-individual variability in pharmacokinetics using virtual human populations and integrating general knowledge of physical chemistry, biology, anatomy, physiology and genetics: A tale of 'bottom-up' vs 'top-down' recognition of covariates. (2009) — 368 citations