| Biomedical applications of iron oxide nanoparticles: Current insights progress and perspectives MG Montiel Schneider, MJ Martín, J Otarola, E Vakarelska, V Simeonov, ... Pharmaceutics 14 (1), 204, 2022 | 156 | 2022 |
| Iron oxide nanoparticles–in vivo/in vitro biomedical applications and in silico studies M Nedyalkova, B Donkova, J Romanova, G Tzvetkov, S Madurga, ... Advances in colloid and interface science 249, 192-212, 2017 | 99 | 2017 |
| Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions I Moreno-Indias, L Lahti, M Nedyalkova, I Elbere, G Roshchupkin, ... Frontiers in microbiology 12, 635781, 2021 | 64 | 2021 |
| Calculating the partition coefficients of organic solvents in octanol/water and octanol/air MA Nedyalkova, S Madurga, M Tobiszewski, V Simeonov Journal of chemical information and modeling 59 (5), 2257-2263, 2019 | 50 | 2019 |
| Combinatorial k-means clustering as a machine learning tool applied to diabetes mellitus type 2 M Nedyalkova, S Madurga, V Simeonov International journal of environmental research and public health 18 (4), 1919, 2021 | 37 | 2021 |
| Modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models M Wieczerzak, B Kudłak, G Yotova, M Nedyalkova, S Tsakovski, ... Science of the Total Environment 571, 259-268, 2016 | 32 | 2016 |
| Molecular dynamics simulation of the spherical electrical double layer of a soft nanoparticle: Effect of the surface charge and counterion valence M Nedyalkova, S Madurga, S Pisov, I Pastor, E Vilaseca, F Mas The Journal of Chemical Physics 137 (17), 2012 | 28 | 2012 |
| Solvothermal synthesis combined with design of experiments—optimization approach for magnetite nanocrystal clusters J Medinger, M Nedyalkova, M Lattuada Nanomaterials 11 (2), 360, 2021 | 22 | 2021 |
| Boron oxide glasses and nanocomposites: synthetic, structural and statistical approach H Hristov, M Nedyalkova, S Madurga, V Simeonov Journal of materials science & technology 33 (6), 535-540, 2017 | 19 | 2017 |
| Pre-selection and assessment of green organic solvents by clustering chemometric tools M Tobiszewski, M Nedyalkova, S Madurga, F Pena-Pereira, J Namieśnik, ... Ecotoxicology and environmental safety 147, 292-298, 2018 | 16 | 2018 |
| Sequence-based prediction of plant allergenic proteins: machine learning classification approach M Nedyalkova, M Vasighi, A Azmoon, L Naneva, V Simeonov ACS omega 8 (4), 3698-3704, 2023 | 14 | 2023 |
| Antimicrobial Activity of Rhenium Di- and Tricarbonyl Diimine Complexes: Insights on Membrane-Bound S. aureus Protein Binding K Schindler, Y Cortat, M Nedyalkova, A Crochet, M Lattuada, A Pavic, ... Pharmaceuticals 15 (9), 1107, 2022 | 14 | 2022 |
| Ionization and conformational equilibria of citric acid: delocalized proton binding in solution S Madurga, M Nedyalkova, F Mas, JL Garcés The Journal of Physical Chemistry A 121 (31), 5894-5906, 2017 | 13 | 2017 |
| Computer-aided drug design and synthesis of rhenium clotrimazole antimicrobial agents Y Cortat, M Nedyalkova, K Schindler, P Kadakia, G Demirci, ... Antibiotics 12 (3), 619, 2023 | 12 | 2023 |
| Inhibition ability of natural compounds on receptor-binding domain of SARS-CoV2: an in silico approach M Nedyalkova, M Vasighi, S Sappati, A Kumar, S Madurga, V Simeonov Pharmaceuticals 14 (12), 1328, 2021 | 12 | 2021 |
| Modeling and MANOVA studies on toxicity and endocrine potential of packaging materials exposed to different extraction schemes N Szczepańska, B Kudłak, S Tsakovski, G Yotova, M Nedyalkova, ... Environmental research 165, 294-305, 2018 | 10 | 2018 |
| Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action D D’Elia, J Truu, L Lahti, M Berland, G Papoutsoglou, M Ceci, A Zomer, ... Frontiers in Microbiology 14, 1257002, 2023 | 9 | 2023 |
| A multilevel approach for screening natural compounds as an antiviral agent for COVID-19 M Vasighi, J Romanova, M Nedyalkova Computational biology and chemistry 98, 107694, 2022 | 9 | 2022 |
| Prediction of partition coefficients in SDS micelles by DFT calculations L Saranjam, E Fuguet, M Nedyalkova, V Simeonov, F Mas, S Madurga Symmetry 13 (9), 1750, 2021 | 9 | 2021 |
| Persistent organic pollutants (POPs)-QSPR classification models by means of machine learning strategies E Vakarelska, M Nedyalkova, M Vasighi, V Simeonov Chemosphere 287, 132189, 2022 | 8 | 2022 |
Vasil SimeonovUniversity of SofiaVerified email at chem.uni-sofia.bg
