Name
Affiliation
Papers
JAROSLAW POLANSKI
Silesian Univ, Inst Chem, Dept Organ Chem, PL-40006 Katowice, Poland
15
Collaborators
Citations 
PageRank 
19
52
8.90
Referers 
Referees 
References 
126
90
53
Search Limit
100126
Title
Citations
PageRank
Year
Beware of ligand efficiency (LE): understanding LE data in modeling structure-activity and structure-economy relationships.10.372017
The analysis of the market success of FDA approvals by probing top 100 bestselling drugs.00.342016
Ligand-Based Virtual Screening in a Search for Novel Anti-HIV-1 Chemotypes.10.382015
No free lunches in nature? An analysis of the regional distribution of the affiliations of Nature publications00.342014
Modeling robust QSAR 3: SOM-4D-QSAR with iterative variable elimination IVE-PLS: application to steroid, azo dye, and benzoic acid series.20.392007
Modeling Robust QSAR, 2. Iterative Variable Elimination Schemes for CoMSA: Application for Modeling Benzoic Acid p Values.40.472007
Modeling Robust QSAR.00.342006
Modeling Robust QSAR. 1. Coding Molecules in 3D-QSAR - from a Point to Surface Sectors and Molecular Volumes.10.372005
GRID Formalism for the Comparative Molecular Surface Analysis: Application to the CoMFA Benchmark Steroids, Azo Dyes, and HEPT Derivatives.20.552004
Modeling steric and electronic effects in 3D- and 4D-QSAR schemes: predicting benzoic pK(a) values and steroid CBG binding affinities.30.502003
Comparative Molecular Surface Analysis (CoMSA) for Modeling Dye-Fiber Affinities of the Azo and Anthraquinone Dyes.20.432003
The Comparative Molecular Surface Analysis (CoMSA) with Modified Uniformative Variable Elimination-PLS (UVE-PLS) Method: Application to the Steroids Binding the Aromatase Enzyme.10.352003
The Comparative Molecular Surface Analysis (COMSA) - A Nongrid 3D QSAR Method by a Coupled Neural Network and PLS System: Predicting pKa Values of Benzoic and Alkanoic Acids40.622002
The comparative molecular surface analysis (COMSA): a novel tool for molecular design.151.252000
The comparison of geometric and electronic properties of molecular surfaces by neural networks: application to the analysis of corticosteroid-binding globulin activity of steroids.162.201996