| A map of mass spectrometry-based in silico fragmentation prediction and compound identification in metabolomics CA Krettler, GG Thallinger Briefings in Bioinformatics 22 (6), bbab073, 2021 | 40 | 2021 |
| Software and computational tools for LC-MS-based epilipidomics: challenges and solutions T Damiani, S Bonciarelli, GG Thallinger, N Koehler, CA Krettler, ... Analytical chemistry 95 (1), 287-303, 2023 | 15 | 2023 |
| Multi-scale sinusoidal embeddings enable learning on high resolution mass spectrometry data G Voronov, R Lightheart, J Davison, CA Krettler, D Healey, T Butler arXiv preprint arXiv:2207.02980, 2022 | 13 | 2022 |
| Natural products have increased rates of clinical trial success throughout the drug development process D Domingo-Fernández, Y Gadiya, AJ Preto, CA Krettler, S Mubeen, ... Journal of Natural Products 87 (7), 1844-1851, 2024 | 11 | 2024 |
| Identification and Quantification of Oxidized Lipids in LC-MS Lipidomics Data CA Krettler, J Hartler, GG Thallinger Studies in Health Technology and Informatics 271, 39-48, 2020 | 5 | 2020 |
| Defining the limits of plant chemical space: challenges and estimations CE Hart, Y Gadiya, T Kind, CA Krettler, M Gaetz, BB Misra, D Healey, ... bioRxiv, 2025.01. 08.631938, 2025 | | 2025 |
| Correction to “Software and Computational Tools for LC-MS-Based Epilipidomics: Challenges and Solutions” T Damiani, S Bonciarelli, GG Thallinger, N Koehler, CA Krettler, ... Analytical Chemistry 95 (6), 3550-3550, 2023 | | 2023 |
| Beyond AI: Exploring Metabolomics with Quantum Chemistry CA Krettler, J Taylor, D Healey, T Kind | | |