| A novel quantitative read-across tool designed purposefully to fill the existing gaps in nanosafety data M Chatterjee, A Banerjee, P De, A Gajewicz-Skretna, K Roy Environmental Science: Nano 9 (1), 189-203, 2022 | 93 | 2022 |
| Quantitative predictions from chemical read-across and their confidence measures A Banerjee, M Chatterjee, P De, K Roy Chemometrics and Intelligent Laboratory Systems 227, 104613, 2022 | 59 | 2022 |
| Prediction of aquatic toxicity of chemical mixtures by the QSAR approach using 2D structural descriptors M Chatterjee, K Roy Journal of Hazardous Materials 408, 124936, 2021 | 45 | 2021 |
| Machine learning-based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees M Chatterjee, A Banerjee, S Tosi, E Carnesecchi, E Benfenati, K Roy Journal of Hazardous Materials 460, 132358, 2023 | 33 | 2023 |
| Application of cross-validation strategies to avoid overestimation of performance of 2D-QSAR models for the prediction of aquatic toxicity of chemical mixtures M Chatterjee, K Roy SAR and QSAR in Environmental Research 33 (6), 463-484, 2022 | 25 | 2022 |
| “Data fusion” quantitative read-across structure-activity-activity relationships (q-RASAARs) for the prediction of toxicities of binary and ternary antibiotic mixtures toward … M Chatterjee, K Roy Journal of Hazardous Materials 459, 132129, 2023 | 20 | 2023 |
| Chemical similarity and machine learning-based approaches for the prediction of aquatic toxicity of binary and multicomponent pharmaceutical and pesticide mixtures against … M Chatterjee, K Roy Chemosphere 308, 136463, 2022 | 20 | 2022 |
| Predictive Quantitative Read-Across Structure–Property Relationship Modeling of the Retention Time (Log tR) of Pesticide Residues Present in Foods and Vegetables S Ghosh, M Chatterjee, K Roy Journal of Agricultural and Food Chemistry, 2023 | 17 | 2023 |
| First report on soil ecotoxicity prediction against Folsomia candida using intelligent consensus predictions and chemical read-across R Paul, M Chatterjee, K Roy Environmental Science and Pollution Research 29 (58), 88302-88317, 2022 | 17 | 2022 |
| Computational modeling of mixture toxicity M Chatterjee, K Roy In Silico Methods for Predicting Drug Toxicity, 561-587, 2022 | 15 | 2022 |
| Recent advances on modelling the toxicity of environmental pollutants for risk assessment: from single pollutants to mixtures M Chatterjee, K Roy Current Pollution Reports 8 (2), 81-97, 2022 | 12 | 2022 |
| Quantitative Read-across structure-activity relationship (q-RASAR): A new approach methodology to model aquatic toxicity of organic pesticides against different fish species S Ghosh, M Chatterjee, K Roy Aquatic Toxicology 265, 106776, 2023 | 11 | 2023 |
| Predictive binary mixture toxicity modeling of fluoroquinolones (FQs) and the projection of toxicity of hypothetical binary FQ mixtures: a combination of 2D-QSAR and machine … M Chatterjee, K Roy Environmental Science: Processes & Impacts 26 (1), 105-118, 2024 | 6 | 2024 |
| Quantitative structure-activity relationships (QSARs) in medicinal chemistry M Chatterjee, K Roy Cheminformatics, QSAR and Machine Learning Applications 3 for Novel Drug …, 2023 | 3 | 2023 |
| Machine learning-based q-RASAR predictions of the bioconcentration factor of organic molecules estimated following the organisation for economic co-operation and development … S Pore, A Pelloux, M Chatterjee, A Banerjee, K Roy Journal of Hazardous Materials 479, 135725, 2024 | 2 | 2024 |
| QSPR and q-RASPR predictions of the adsorption capacity of polyethylene, polypropylene and polystyrene microplastics for various organic pollutants in diverse aqueous environments MM Hossain, A Banerjee, M Chatterjee, K Roy, MTD Cronin Environmental Science: Nano 11 (10), 4196-4210, 2024 | 1 | 2024 |
| Intelligent consensus-based predictions of early life stage toxicity in fish tested in compliance with OECD Test Guideline 210 S Pore, A Pelloux, A Bergqvist, M Chatterjee, K Roy Aquatic Toxicology 279, 107216, 2025 | | 2025 |
KUNAL ROYProfessor, Jadavpur University, DTC Laboratory, Dept. Pharmaceutical Technology, India確認したメール アドレス: jadavpuruniversity.in
