| A data-driven workflow for assigning and predicting generality in asymmetric catalysis IO Betinol, J Lai, S Thakur, JP Reid Journal of the American Chemical Society 145 (23), 12870-12883, 2023 | 21 | 2023 |
| Methods to identify and characterize iron–sulfur oligopeptides in water L Valer, D Rossetto, S Scintilla, YJ Hu, A Tomar, S Nader, IO Betinol, ... Canadian Journal of Chemistry 100 (7), 475-483, 2022 | 15 | 2022 |
| Guiding Target Synthesis with Statistical Modeling Tools: A Case Study in Organocatalysis IO Betinol, Y Kuang, JP Reid Organic Letters 24 (7), 1429-1433, 2022 | 14 | 2022 |
| Spectral decomposition of iron-sulfur clusters IO Betinol, S Nader, SS Mansy Analytical Biochemistry 629, 114269, 2021 | 9 | 2021 |
| A predictive and mechanistic statistical modelling workflow for improving decision making in organic synthesis and catalysis IO Betinol, JP Reid Organic & Biomolecular Chemistry 20 (30), 6012-6018, 2022 | 5 | 2022 |
| Mechanism to model: a physical organic chemistry approach to reaction prediction JP Reid, IO Betinol, Y Kuang Chemical Communications 59 (72), 10711-10721, 2023 | 3 | 2023 |
| A Statistical Modeling Approach to Catalyst Generality Assessment in Enantioselective Synthesis J Lai, J Li, I Betinol, Y Kuang, J Reid | 3 | 2022 |
| Rethinking the Lewis Acidity of Cationic Gallium and Indium Catalysts C Goonesinghe, HJ Jung, IO Betinol, JR Gaffen, CN Garrard, J Chang, ... ACS Catalysis 13 (24), 16148-16157, 2023 | 2 | 2023 |
| Extraction yield prediction for the large-scale recovery of cannabinoids H Plommer, IO Betinol, T Dupree, M Roggen, JP Reid Digital Discovery 3 (1), 155-162, 2024 | 1 | 2024 |
| Machine Learning Enables a Top-Down Approach to Mechanistic Elucidation I Betinol, Y Kuang, J Lai, C Yousofi, J Reid | | 2024 |
