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 | 916 | 2018 |
Metabolic oxidation regulates embryonic stem cell differentiation O Yanes, J Clark, DM Wong, GJ Patti, A Sanchez-Ruiz, HP Benton, ... Nature chemical biology 6 (6), 411-417, 2010 | 577 | 2010 |
Interactive XCMS Online: simplifying advanced metabolomic data processing and subsequent statistical analyses H Gowda, J Ivanisevic, CH Johnson, ME Kurczy, HP Benton, D Rinehart, ... Analytical chemistry 86 (14), 6931-6939, 2014 | 422 | 2014 |
XCMS2: Processing Tandem Mass Spectrometry Data for Metabolite Identification and Structural Characterization HP Benton, DM Wong, SA Trauger, G Siuzdak Analytical chemistry 80 (16), 6382-6389, 2008 | 310 | 2008 |
Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online EM Forsberg, T Huan, D Rinehart, HP Benton, B Warth, B Hilmers, ... Nature protocols 13 (4), 633-651, 2018 | 244 | 2018 |
Correction of mass calibration gaps in liquid chromatography–mass spectrometry metabolomics data HP Benton, EJ Want, TMD Ebbels Bioinformatics 26 (19), 2488-2489, 2010 | 219 | 2010 |
Autonomous metabolomics for rapid metabolite identification in global profiling HP Benton, J Ivanisevic, NG Mahieu, ME Kurczy, CH Johnson, L Franco, ... Analytical chemistry 87 (2), 884-891, 2015 | 194 | 2015 |
Systems biology guided by XCMS Online metabolomics T Huan, EM Forsberg, D Rinehart, CH Johnson, J Ivanisevic, HP Benton, ... Nature methods 14 (5), 461-462, 2017 | 192 | 2017 |
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 | 174 | 2019 |
Annotation: a computational solution for streamlining metabolomics analysis X Domingo-Almenara, JR Montenegro-Burke, HP Benton, G Siuzdak Analytical chemistry 90 (1), 480, 2018 | 155 | 2018 |
Thermal degradation of small molecules: a global metabolomic investigation M Fang, J Ivanisevic, HP Benton, CH Johnson, GJ Patti, LT Hoang, ... Analytical chemistry 87 (21), 10935-10941, 2015 | 150 | 2015 |
Bioinformatics: the next frontier of metabolomics CH Johnson, J Ivanisevic, HP Benton, G Siuzdak Analytical Chemistry 87 (1), 147-156, 2015 | 147 | 2015 |
METLIN MS2 molecular standards database: a broad chemical and biological resource J Xue, C Guijas, HP Benton, B Warth, G Siuzdak Nature methods 17 (10), 953-954, 2020 | 136 | 2020 |
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 | 128 | 2018 |
Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data S Barnes, HP Benton, K Casazza, SJ Cooper, X Cui, X Du, J Engler, ... Journal of Mass Spectrometry 51 (7), 461-475, 2016 | 116 | 2016 |
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 | 114 | 2017 |
Metabolic drift in the aging brain J Ivanisevic, KL Stauch, M Petrascheck, HP Benton, AA Epstein, M Fang, ... Aging (Albany NY) 8 (5), 1000, 2016 | 106 | 2016 |
Autonomous METLIN-guided in-source fragment annotation for untargeted metabolomics X Domingo-Almenara, JR Montenegro-Burke, C Guijas, ELW Majumder, ... Analytical chemistry 91 (5), 3246-3253, 2019 | 99 | 2019 |
Global metabolomics reveals metabolic dysregulation in ischemic retinopathy LP Paris, CH Johnson, E Aguilar, Y Usui, K Cho, LT Hoang, D Feitelberg, ... Metabolomics 12, 1-10, 2016 | 97 | 2016 |
Brain region mapping using global metabolomics J Ivanisevic, AA Epstein, ME Kurczy, PH Benton, W Uritboonthai, HS Fox, ... Chemistry & biology 21 (11), 1575-1584, 2014 | 83 | 2014 |