| Population-based mechanistic prediction of oral drug absorption M Jamei, D Turner, J Yang, S Neuhoff, S Polak, A Rostami-Hodjegan, ... The AAPS Journal 11 (2), 225-237, 2009 | 581 | 2009 |
| KinetDS: an open source software for dissolution test data analysis A Mendyk, R Jachowicz, K Fijorek, P Dorożyński, P Kulinowski, S Polak Dissolution Technol 19 (1), 6-11, 2012 | 154 | 2012 |
| Collation, assessment and analysis of literature in vitro data on hERG receptor blocking potency for subsequent modeling of drugs' cardiotoxic properties S Polak, B Wiśniowska, J Brandys Journal of Applied Toxicology 29 (3), 183-206, 2009 | 119 | 2009 |
| Drug-drug interactions and QT prolongation as a commonly assessed cardiac effect-comprehensive overview of clinical trials B Wiśniowska, Z Tylutki, G Wyszogrodzka, S Polak BMC Pharmacology and Toxicology 17 (1), 12, 2016 | 112 | 2016 |
| Optimizing drug discovery by investigative toxicology: current and future trends M Beilmann, H Boonen, A Czich, G Dear, P Hewitt, M Daneshian, ... | 90 | 2019 |
| Physiologically based pharmacokinetic modelling to guide drug delivery in older people M Chetty, TN Johnson, S Polak, F Salem, K Doki, A Rostami-Hodjegan Advanced Drug Delivery Reviews 135, 85-96, 2018 | 76 | 2018 |
| Prediction of concentration–time profile and its inter-individual variability following the dermal drug absorption S Polak, C Ghobadi, H Mishra, M Ahamadi, N Patel, M Jamei, ... Journal of pharmaceutical sciences 101 (7), 2584-2595, 2012 | 74 | 2012 |
| Interaction Between Domperidone and Ketoconazole: Toward Prediction of Consequent QTc Prolongation Using Purely In Vitro Information H Mishra, S Polak, M Jamei, A Rostami‐Hodjegan CPT: pharmacometrics & systems pharmacology 3 (8), 1-11, 2014 | 73 | 2014 |
| Selective laser sintering (SLS) technique for pharmaceutical applications—Development of high dose controlled release printlets P Kulinowski, P Malczewski, E Pesta, M Łaszcz, A Mendyk, S Polak, ... Additive Manufacturing 38, 101761, 2021 | 71 | 2021 |
| The impact of pharmaceutical care on patients with hypertension and their pharmacists A Skowron, S Polak, J Brandys Pharmacy practice 9 (2), 110, 2011 | 64 | 2011 |
| Quantitative prediction of formulation-specific food effects and their population variability from in vitro data with the physiologically-based ADAM model: a case study using … N Patel, S Polak, M Jamei, A Rostami-Hodjegan, DB Turner European Journal of Pharmaceutical Sciences 57, 240-249, 2014 | 55 | 2014 |
| Serum potassium, sodium and calcium levels in healthy individuals: literature review and data analysis K Fijorek, M Püsküllüoglu, D Tomaszewska, R Tomaszewski, A Glinka, ... | 53 | 2014 |
| Real patient and its virtual twin: application of quantitative systems toxicology modelling in the cardiac safety assessment of citalopram N Patel, B Wiśniowska, M Jamei, S Polak The AAPS journal 20 (1), 6, 2017 | 42 | 2017 |
| Artificial intelligence technology as a tool for initial GDM screening S Polak, A Mendyk Expert Systems with Applications 26 (4), 455-460, 2004 | 40 | 2004 |
| Inter-individual variability in the pre-clinical drug cardiotoxic safety assessment—analysis of the age–cardiomyocytes electric capacitance dependence S Polak, K Fijorek Journal of cardiovascular translational research 5 (3), 321-332, 2012 | 39 | 2012 |
| Top-down, bottom-up and middle-out strategies for drug cardiac safety assessment via modeling and simulations Z Tylutki, S Polak, B Wiśniowska Current Pharmacology Reports 2 (4), 171-177, 2016 | 38 | 2016 |
| Multi‐phase multi‐layer mechanistic dermal absorption (MPML MechDermA) model to predict local and systemic exposure of drug products applied on skin N Patel, JF Clarke, F Salem, T Abdulla, F Martins, S Arora, E Tsakalozou, ... CPT: Pharmacometrics & Systems Pharmacology 11 (8), 1060-1084, 2022 | 36 | 2022 |
| Generalized in vitro-in vivo relationship (IVIVR) model based on artificial neural networks A Mendyk, PK Tuszyński, S Polak, R Jachowicz Drug design, development and therapy, 223-232, 2013 | 36 | 2013 |
| Physiologically based pharmacokinetic modeling of transdermal selegiline and its metabolites for the evaluation of disposition differences between healthy and special populations SK Puttrevu, S Arora, S Polak, NK Patel Pharmaceutics 12 (10), 942, 2020 | 33 | 2020 |
| Early drug discovery prediction of proarrhythmia potential and its covariates S Polak, MK Pugsley, N Stockbridge, C Garnett, B Wiśniowska The AAPS journal 17 (4), 1025-1032, 2015 | 33 | 2015 |
Masoud JameiCertara UKVerified email at ieee.org
