| METLIN: a technology platform for identifying knowns and unknowns C Guijas, JR Montenegro-Burke, X Domingo-Almenara, A Palermo, ... Analytical chemistry 90 (5), 3156-3164, 2018 | 295 | 2018 |
| Exposome-scale investigations guided by global metabolomics, pathway analysis, and cognitive computing B Warth, S Spangler, M Fang, CH Johnson, EM Forsberg, A Granados, ... Analytical chemistry 89 (21), 11505-11513, 2017 | 59 | 2017 |
| Annotation: a computational solution for streamlining metabolomics analysis X Domingo-Almenara, JR Montenegro-Burke, HP Benton, G Siuzdak Analytical chemistry 90 (1), 480-489, 2018 | 56 | 2018 |
| eRah: a computational tool integrating spectral deconvolution and alignment with quantification and identification of metabolites in GC/MS-based metabolomics X Domingo-Almenara, J Brezmes, M Vinaixa, S Samino, N Ramirez, ... Analytical chemistry 88 (19), 9821-9829, 2016 | 52 | 2016 |
| XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules X Domingo-Almenara, JR Montenegro-Burke, J Ivanisevic, A Thomas, ... Nature methods 15 (9), 681-684, 2018 | 41 | 2018 |
| Autonomous METLIN-Guided In-source Fragment Annotation for Untargeted Metabolomics X Domingo-Almenara, JR Montenegro-Burke, C Guijas, ELW Majumder, ... Analytical chemistry, 2019 | 23 | 2019 |
| Compound identification in gas chromatography/mass spectrometry-based metabolomics by blind source separation X Domingo-Almenara, A Perera, N Ramírez, N Cañellas, X Correig, ... Journal of Chromatography A, 2015 | 23 | 2015 |
| Autonomous multimodal metabolomics data integration for comprehensive pathway analysis and systems biology T Huan, A Palermo, J Ivanisevic, D Rinehart, D Edler, T Phommavongsay, ... Analytical chemistry 90 (14), 8396-8403, 2018 | 11 | 2018 |
| Automated resolution of chromatographic signals by independent component analysis–orthogonal signal deconvolution in comprehensive gas chromatography/mass spectrometry-based … X Domingo-Almenara, A Perera, N Ramírez, J Brezmes Computer methods and programs in biomedicine 130, 135-141, 2016 | 9 | 2016 |
| The METLIN small molecule dataset for machine learning-based retention time prediction X Domingo-Almenara, C Guijas, E Billings, JR Montenegro-Burke, ... Nature communications 10 (1), 1-9, 2019 | 7 | 2019 |
| Avoiding hard chromatographic segmentation: A moving window approach for the automated resolution of gas chromatography–mass spectrometry-based metabolomics signals by … X Domingo-Almenara, A Perera, J Brezmes Journal of Chromatography A 1474, 145-151, 2016 | 6 | 2016 |
| Metabolic rewiring of the hypertensive kidney MM Rinschen, O Palygin, C Guijas, A Palermo, N Palacio-Escat, ... Science signaling 12 (611), 2019 | 4 | 2019 |
| Enhanced in-Source Fragmentation Annotation Enables Novel Data Independent Acquisition and Autonomous METLIN Molecular Identification J Xue, X Domingo-Almenara, C Guijas, A Palermo, MM Rinschen, J Isbell, ... Analytical Chemistry 92 (8), 6051-6059, 2020 | 3 | 2020 |
| Baitmet, a computational approach for GC–MS library-driven metabolite profiling X Domingo-Almenara, J Brezmes, G Venturini, G Vivó-Truyols, A Perera, ... Metabolomics 13, 93, 2017 | 3 | 2017 |
| Metabolomics Data Processing Using XCMS X Domingo-Almenara, G Siuzdak Computational Methods and Data Analysis for Metabolomics, 11-24, 2020 | 2 | 2020 |
| Compound Identification in Comprehensive Gas Chromatography—Mass Spectrometry-Based Metabolomics by Blind Source Separation X Domingo-Almenara, A Perera, N Ramírez, J Brezmes 9th International Conference on Practical Applications of Computational …, 2015 | 1 | 2015 |
| Metabolic adaptation to calorie restriction C Guijas, JR Montenegro-Burke, R Cintron-Colon, X Domingo-Almenara, ... Science Signaling 13 (648), 2020 | | 2020 |
Gary SiuzdakProfessor and Director, Center for Metabolomics, The Scripps Research InstituteVerified email at scripps.edu
