| Rise of deep learning for genomic, proteomic, and metabolomic data integration in precision medicine D Grapov, J Fahrmann, K Wanichthanarak, S Khoomrung Omics: a journal of integrative biology 22 (10), 630-636, 2018 | 207 | 2018 |
| Genomic, proteomic, and metabolomic data integration strategies K Wanichthanarak, JF Fahrmann, D Grapov Biomarker insights 10, BMI. S29511, 2015 | 154 | 2015 |
| Type 2 diabetes associated changes in the plasma non-esterified fatty acids, oxylipins and endocannabinoids D Grapov, SH Adams, TL Pedersen, WT Garvey, JW Newman PloS one 7 (11), e48852, 2012 | 152 | 2012 |
| Metabolomics and transcriptomics identify pathway differences between visceral and subcutaneous adipose tissue in colorectal cancer patients: the ColoCare study DB Liesenfeld, D Grapov, JF Fahrmann, M Salou, D Scherer, R Toth, ... The American journal of clinical nutrition 102 (2), 433-443, 2015 | 141 | 2015 |
| MetaMapR: pathway independent metabolomic network analysis incorporating unknowns D Grapov, K Wanichthanarak, O Fiehn Bioinformatics 31 (16), 2757-2760, 2015 | 125 | 2015 |
| The urinary metabolomics profile of an Italian autistic children population and their unaffected siblings A Noto, V Fanos, L Barberini, D Grapov, C Fattuoni, M Zaffanello, ... The Journal of Maternal-Fetal & Neonatal Medicine 27 (sup2), 46-52, 2014 | 117 | 2014 |
| LC–MS metabolomics of psoriasis patients reveals disease severity-dependent increases in circulating amino acids that are ameliorated by anti-TNFα treatment MA Kamleh, SG Snowden, D Grapov, GJ Blackburn, DG Watson, N Xu, ... Journal of proteome research 14 (1), 557-566, 2015 | 107 | 2015 |
| Deep metabolome: Applications of deep learning in metabolomics Y Pomyen, K Wanichthanarak, P Poungsombat, J Fahrmann, D Grapov, ... Computational and Structural Biotechnology Journal 18, 2818-2825, 2020 | 99 | 2020 |
| Human milk secretory immunoglobulin a and lactoferrin N-glycans are altered in women with gestational diabetes mellitus H Jincui, G Dmitry, L Carlito, GJ Bruce The Journal of nutrition 143 (12), 1906-1912, 2013 | 99 | 2013 |
| Metabox: A toolbox for metabolomic data analysis, interpretation and integrative exploration K Wanichthanarak, S Fan, D Grapov, DK Barupal, O Fiehn PloS one 12 (1), e0171046, 2017 | 97 | 2017 |
| Metabolomic markers of altered nucleotide metabolism in early stage adenocarcinoma WR Wikoff, D Grapov, JF Fahrmann, B DeFelice, WN Rom, HI Pass, K Kim, ... Cancer prevention research 8 (5), 410-418, 2015 | 90 | 2015 |
| Metabolomics in psoriatic disease: pilot study reveals metabolite differences in psoriasis and psoriatic arthritis AW Armstrong, J Wu, MA Johnson, D Grapov, B Azizi, J Dhillon, O Fiehn F1000Research 3, 2014 | 75 | 2014 |
| Omega-6 and omega-3 oxylipins are implicated in soybean oil-induced obesity in mice P Deol, J Fahrmann, J Yang, JR Evans, A Rizo, D Grapov, M Salemi, ... Scientific reports 7 (1), 12488, 2017 | 72 | 2017 |
| Integrated metabolomics and proteomics highlight altered nicotinamide and polyamine pathways in lung adenocarcinoma JF Fahrmann, D Grapov, K Wanichthanarak, BC DeFelice, MR Salemi, ... Carcinogenesis 38 (3), 271-280, 2017 | 67 | 2017 |
| Metabolic changes associated with methionine stress sensitivity in MDA-MB-468 breast cancer cells SL Borrego, J Fahrmann, R Datta, C Stringari, D Grapov, M Zeller, Y Chen, ... Cancer & metabolism 4, 1-17, 2016 | 66 | 2016 |
| Systemic alterations in the metabolome of diabetic NOD mice delineate increased oxidative stress accompanied by reduced inflammation and hypertriglyceremia J Fahrmann, D Grapov, J Yang, B Hammock, O Fiehn, GI Bell, M Hara American Journal of Physiology-Endocrinology and Metabolism 308 (11), E978-E989, 2015 | 56 | 2015 |
| Review of emerging metabolomic tools and resources: 2015–2016 BB Misra, JF Fahrmann, D Grapov Electrophoresis 38 (18), 2257-2274, 2017 | 55 | 2017 |
| Improved metabolic health alters host metabolism in parallel with changes in systemic xeno-metabolites of gut origin C Campbell, D Grapov, O Fiehn, CJ Chandler, DJ Burnett, EC Souza, ... PloS one 9 (1), e84260, 2014 | 51 | 2014 |
| Urinary metabolomics (GC-MS) reveals that low and high birth weight infants share elevated inositol concentrations at birth L Barberini, A Noto, C Fattuoni, D Grapov, A Casanova, G Fenu, ... The Journal of Maternal-Fetal & Neonatal Medicine 27 (sup2), 20-26, 2014 | 50 | 2014 |
| Serum phosphatidylethanolamine levels distinguish benign from malignant solitary pulmonary nodules and represent a potential diagnostic biomarker for lung cancer JF Fahrmann, D Grapov, BC DeFelice, S Taylor, K Kim, K Kelly, WR Wikoff, ... Cancer Biomarkers 16 (4), 609-617, 2016 | 47 | 2016 |
Oliver FiehnUC DavisVerified email at ucdavis.edu
