| Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome I Roberts, M Wright Muelas, JM Taylor, AS Davison, Y Xu, JM Grixti, ... Metabolomics 18 (1), 6, 2022 | 89 | 2022 |
| MassGenie: A transformer-based deep learning method for identifying small molecules from their mass spectra AD Shrivastava, N Swainston, S Samanta, I Roberts, M Wright Muelas, ... Biomolecules 11 (12), 1793, 2021 | 54 | 2021 |
| An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines M Wright Muelas, I Roberts, F Mughal, S O’Hagan, PJ Day, DB Kell Metabolomics 16, 1-12, 2020 | 34 | 2020 |
| Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome. medRxiv. 2020; 2020.12. 09.20246389 I Roberts, MW Muelas, JM Taylor, AS Davison, Y Xu, JM Grixti, N Gotts, ... Google Scholar, 0 | 5 | |
| Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome I Roberts, M Wright Muelas, JM Taylor, AS Davison, CL Winder, ... medRxiv, 2023.03. 17.23287401, 2023 | 4 | 2023 |
| Predicting Dying: Metabolomic Changes, a Model and the Dying Process in Patients with Lung Cancer S Coyle, E Chapman, DM Hughes, J Baker, R Slater, AS Davison, ... | 1 | 2023 |
| Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome J Taylor, I Roberts, MW Muelas, AS Davison, C Winder, R Goodacre, ... | | 2023 |
| Quantitative LC-MS study of compounds predictive of COVID-19 severity and outcome I Roberts, MW Muelas, JM Taylor, AS Davison, CL Winder, R Goodacre, ... | | |
Marina Wright MuelasResearch Associate在 liverpool.ac.uk 的电子邮件经过验证
