Column characterization and selection systems in reversed-phase high-performance liquid chromatography P Žuvela, M Skoczylas, J Jay Liu, T Ba̧czek, R Kaliszan, MW Wong, ... Chemical reviews 119 (6), 3674-3729, 2019 | 329 | 2019 |
Suppression of deleterious effects of free silanols in liquid chromatography by imidazolium tetrafluoroborate ionic liquids R Kaliszan, MP Marszałł, MJ Markuszewski, T Bączek, J Pernak Journal of Chromatography A 1030 (1-2), 263-271, 2004 | 218 | 2004 |
Comparative characteristics of HPLC columns based on quantitative structure–retention relationships (QSRR) and hydrophobic-subtraction model T Bączek, R Kaliszan, K Novotná, P Jandera Journal of chromatography A 1075 (1-2), 109-115, 2005 | 156 | 2005 |
Lipophilicity and pKa estimates from gradient high-performance liquid chromatography R Kaliszan, P Haber, T Bączek, D Siluk, K Valko Journal of Chromatography A 965 (1-2), 117-127, 2002 | 123 | 2002 |
Prediction of peptide retention at different HPLC conditions from multiple linear regression models T Ba̧czek, P Wiczling, M Marszałł, YV Heyden, R Kaliszan Journal of Proteome Research 4 (2), 555-563, 2005 | 121 | 2005 |
Reversed-phase liquid chromatographic separation of complex samples by optimizing temperature and gradient time: III. Improving the accuracy of computer simulation JW Dolan, LR Snyder, RG Wolcott, P Haber, T Baczek, R Kaliszan, ... Journal of Chromatography A 857 (1-2), 41-68, 1999 | 116 | 1999 |
Reduction of silanophilic interactions in liquid chromatography with the use of ionic liquids MP Marszałł, T Bączek, R Kaliszan Analytica chimica acta 547 (2), 172-178, 2005 | 115 | 2005 |
Advanced QSRR modeling of peptides behavior in RPLC K Bodzioch, A Durand, R Kaliszan, T Bączek, Y Vander Heyden Talanta 81 (4-5), 1711-1718, 2010 | 97 | 2010 |
Evaluation of the silanol‐suppressing potency of ionic liquids MP Marszałł, T Baczek, R Kaliszan Journal of separation science 29 (8), 1138-1145, 2006 | 96 | 2006 |
Predictive approaches to gradient retention based on analyte structural descriptors from calculation chemistry T Ba̧czek, R Kaliszan Journal of Chromatography A 987 (1-2), 29-37, 2003 | 94 | 2003 |
Predictions of peptides' retention times in reversed‐phase liquid chromatography as a new supportive tool to improve protein identification in proteomics T Bączek, R Kaliszan Proteomics 9 (4), 835-847, 2009 | 93 | 2009 |
Combination of linear solvent strength model and quantitative structure–retention relationships as a comprehensive procedure of approximate prediction of retention in gradient … T Ba̧czek, R Kaliszan Journal of Chromatography A 962 (1-2), 41-55, 2002 | 93 | 2002 |
Prediction of high‐performance liquid chromatography retention of peptides with the use of quantitative structure‐retention relationships R Kaliszan, T Bączek, A Cimochowska, P Juszczyk, K Wiśniewska, ... Proteomics 5 (2), 409-415, 2005 | 91 | 2005 |
Prediction of gradient retention from the linear solvent strength (LSS) model, quantitative structure‐retention relationships (QSRR), and artificial neural networks (ANN) R Kaliszan, T Ba̧czek, A Buciński, B Buszewski, M Sztupecka Journal of separation science 26 (3‐4), 271-282, 2003 | 84 | 2003 |
Artificial neural network analysis for evaluation of peptide MS/MS spectra in proteomics T Baczek, A Buciński, AR Ivanov, R Kaliszan Analytical chemistry 76 (6), 1726-1732, 2004 | 80 | 2004 |
Longitudinal study of vitamins A, E and lipid oxidative damage in human milk throughout lactation A Szlagatys-Sidorkiewicz, M Zagierski, A Jankowska, G Łuczak, K Macur, ... Early human development 88 (6), 421-424, 2012 | 79 | 2012 |
Linear and quadratic relationships between retention and organic modifier content in eluent in reversed phase high‐performance liquid chromatography: a systematic comparative … T Ba¸ czek, M Markuszewski, R Kaliszan, MA van Straten, HA Claessens Journal of High Resolution Chromatography 23 (12), 667-676, 2000 | 78 | 2000 |
Application of solid‐phase microextraction in current biomedical research A Roszkowska, N Miękus, T Bączek Journal of separation science 42 (1), 285-302, 2019 | 77 | 2019 |
Gradient HPLC in the determination of drug lipophilicity and acidity R Kaliszan, P Haber, T Baczek, D Siluk Pure and Applied Chemistry 73 (9), 1465-1475, 2001 | 74 | 2001 |
Fused deposition modeling enables the low-cost fabrication of porous, customized-shape sorbents for small-molecule extraction M Belka, S Ulenberg, T Baczek Analytical chemistry 89 (8), 4373-4376, 2017 | 69 | 2017 |