| 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 | 969 | 2018 |
| 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), 5811, 2019 | 212 | 2019 |
| 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 | 168 | 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 | 138 | 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 | 131 | 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 | 120 | 2017 |
| Autonomous METLIN-Guided In-source Fragment Annotation for Untargeted Metabolomics X Domingo-Almenara, JR Montenegro-Burke, C Guijas, ELW Majumder, ... Analytical chemistry, 2019 | 109 | 2019 |
| Metabolomics data processing using XCMS X Domingo-Almenara, G Siuzdak Computational methods and data analysis for metabolomics, 11-24, 2020 | 102 | 2020 |
| Metabolic rewiring of the hypertensive kidney MM Rinschen, O Palygin, C Guijas, A Palermo, N Palacio-Escat, ... Science signaling 12 (611), eaax9760, 2019 | 59 | 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 | 57 | 2020 |
| Accelerated lysine metabolism conveys kidney protection in salt-sensitive hypertension MM Rinschen, O Palygin, A El-Meanawy, X Domingo-Almenara, ... Nature Communications 13 (1), 4099, 2022 | 45 | 2022 |
| 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 | 37 | 2015 |
| Metabolic adaptation to calorie restriction C Guijas, JR Montenegro-Burke, R Cintron-Colon, X Domingo-Almenara, ... Science signaling 13 (648), eabb2490, 2020 | 34 | 2020 |
| 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 | 32 | 2018 |
| Metabolomics activity screening of T cell–induced colitis reveals anti-inflammatory metabolites JR Montenegro-Burke, BP Kok, C Guijas, X Domingo-Almenara, C Moon, ... Science signaling 14 (702), eabf6584, 2021 | 27 | 2021 |
| Cognitive analysis of metabolomics data for systems biology ELW Majumder, EM Billings, HP Benton, RL Martin, A Palermo, C Guijas, ... Nature protocols 16 (3), 1376-1418, 2021 | 21 | 2021 |
| Machine learning-based retention time prediction of trimethylsilyl derivatives of metabolites SM de Cripan, A Cereto-Massagué, P Herrero, A Barcaru, N Canela, ... Biomedicines 10 (4), 879, 2022 | 17 | 2022 |
| 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 Ramirez, J Brezmes Computer methods and programs in biomedicine 130, 135-141, 2016 | 13 | 2016 |
| Microbial metabolite 3-indolepropionic acid mediates immunosuppression C Guijas, LE Horton, L Hoang, X Domingo-Almenara, EM Billings, ... Metabolites 12 (7), 645, 2022 | 11 | 2022 |
| 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 | 7 | 2017 |
Gary SiuzdakProfessor and Director, Center for Metabolomics, The Scripps Research InstituteПідтверджена електронна адреса в scripps.edu
