| Year |
Citation |
Score |
| 2022 |
McDonald JG, Ejsing CS, Kopczynski D, Holčapek M, Aoki J, Arita M, Arita M, Baker ES, Bertrand-Michel J, Bowden JA, Brügger B, Ellis SR, Fedorova M, Griffiths WJ, Han X, ... ... Ulmer CZ, et al. Introducing the Lipidomics Minimal Reporting Checklist. Nature Metabolism. PMID 35934691 DOI: 10.1038/s42255-022-00628-3 |
0.673 |
|
| 2022 |
Lippa KA, Aristizabal-Henao JJ, Beger RD, Bowden JA, Broeckling C, Beecher C, Clay Davis W, Dunn WB, Flores R, Goodacre R, Gouveia GJ, Harms AC, Hartung T, Jones CM, Lewis MR, ... ... Ulmer CZ, et al. Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC). Metabolomics : Official Journal of the Metabolomic Society. 18: 24. PMID 35397018 DOI: 10.1007/s11306-021-01848-6 |
0.501 |
|
| 2020 |
Ulmer CZ, Koelmel JP, Jones CM, Garrett TJ, Aristizabal-Henao JJ, Vesper HW, Bowden JA. A Review of Efforts to Improve Lipid Stability during Sample Preparation and Standardization Efforts to Ensure Accuracy in the Reporting of Lipid Measurements. Lipids. PMID 32519378 DOI: 10.1002/Lipd.12263 |
0.768 |
|
| 2020 |
Koelmel JP, Napolitano MP, Ulmer CZ, Vasiliou V, Garrett TJ, Yost RA, Prasad MNV, Godri Pollitt KJ, Bowden JA. Environmental lipidomics: understanding the response of organisms and ecosystems to a changing world. Metabolomics : Official Journal of the Metabolomic Society. 16: 56. PMID 32307636 DOI: 10.1007/S11306-020-01665-3 |
0.707 |
|
| 2019 |
Koelmel JP, Cochran JA, Ulmer CZ, Levy AJ, Patterson RE, Olsen BC, Yost RA, Bowden JA, Garrett TJ. Software tool for internal standard based normalization of lipids, and effect of data-processing strategies on resulting values. Bmc Bioinformatics. 20: 217. PMID 31035918 DOI: 10.1186/S12859-019-2803-8 |
0.802 |
|
| 2019 |
Koelmel JP, Ulmer CZ, Fogelson S, Jones CM, Botha H, Bangma JT, Guillette TC, Luus-Powell WJ, Sara JR, Smit WJ, Albert K, Miller HA, Guillette MP, Olsen BC, Cochran JA, et al. Lipidomics for wildlife disease etiology and biomarker discovery: a case study of pansteatitis outbreak in South Africa. Metabolomics : Official Journal of the Metabolomic Society. 15: 38. PMID 30838461 DOI: 10.1007/S11306-019-1490-9 |
0.761 |
|
| 2019 |
Temkin AM, Bowers RR, Ulmer CZ, Penta K, Bowden JA, Nyland J, Baatz JE, Spyropoulos DD. Increased adiposity, inflammation, metabolic disruption and dyslipidemia in adult male offspring of DOSS treated C57BL/6 dams. Scientific Reports. 9: 1530. PMID 30728429 DOI: 10.1038/S41598-018-38383-9 |
0.524 |
|
| 2018 |
Bowden JA, Ulmer CZ, Jones CM, Koelmel JP, Yost RA. NIST lipidomics workflow questionnaire: an assessment of community-wide methodologies and perspectives. Metabolomics : Official Journal of the Metabolomic Society. 14: 53. PMID 30830346 DOI: 10.1007/S11306-018-1340-1 |
0.725 |
|
| 2018 |
Ulmer CZ, Jones CM, Yost RA, Garrett TJ, Bowden JA. Optimization of Folch, Bligh-Dyer, and Matyash sample-to-extraction solvent ratios for human plasma-based lipidomics studies. Analytica Chimica Acta. 1037: 351-357. PMID 30292311 DOI: 10.1016/J.Aca.2018.08.004 |
0.69 |
|
| 2018 |
Koelmel JP, Jones CM, Ulmer CZ, Garrett TJ, Yost RA, Schock TB, Bowden JA. Examining heat treatment for stabilization of the lipidome. Bioanalysis. PMID 29451398 DOI: 10.4155/Bio-2017-0209 |
0.752 |
|
| 2017 |
Ulmer CZ, Ragland JM, Koelmel JP, Heckert A, Jones CM, Garrett T, Yost RA, Bowden JA. LipidQC: Method Validation Tool for Visual Comparison to SRM 1950 Using NIST Interlaboratory Comparison Exercise Lipid Consensus Mean Estimate Values. Analytical Chemistry. PMID 29148710 DOI: 10.1021/Acs.Analchem.7B04042 |
0.786 |
|
| 2017 |
Bowden JA, Heckert A, Ulmer CZ, Jones CM, Koelmel JP, Abdullah L, Ahonen L, Alnouti Y, Armando A, Asara JM, Bamba T, Barr JR, Bergquist J, Borchers CH, Brandsma J, et al. Harmonizing Lipidomics: NIST Interlaboratory Comparison Exercise for Lipidomics using Standard Reference Material 1950 Metabolites in Frozen Human Plasma. Journal of Lipid Research. PMID 28986437 DOI: 10.1194/Jlr.M079012 |
0.767 |
|
| 2017 |
Koelmel JP, Kroeger NM, Ulmer CZ, Bowden JA, Patterson RE, Cochran JA, Beecher CWW, Garrett TJ, Yost RA. LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data. Bmc Bioinformatics. 18: 331. PMID 28693421 DOI: 10.1186/S12859-017-1744-3 |
0.795 |
|
| 2017 |
Ulmer CZ, Patterson RE, Koelmel JP, Garrett TJ, Yost RA. A Robust Lipidomics Workflow for Mammalian Cells, Plasma, and Tissue Using Liquid-Chromatography High-Resolution Tandem Mass Spectrometry. Methods in Molecular Biology (Clifton, N.J.). 1609: 91-106. PMID 28660577 DOI: 10.1007/978-1-4939-6996-8_10 |
0.77 |
|
| 2017 |
Koelmel JP, Ulmer CZ, Jones CM, Yost RA, Bowden JA. Corrigendum to "Common cases of improper lipid annotation using high-resolution tandem mass spectrometry data and corresponding limitations in biological interpretation" [Biochim. Biophys. Acta 1862(8) (2017) 766-770]. Biochimica Et Biophysica Acta. PMID 28648965 DOI: 10.1016/J.Bbalip.2017.06.013 |
0.786 |
|
| 2017 |
Koelmel JP, Kroeger NM, Gill EL, Ulmer CZ, Bowden JA, Patterson RE, Yost RA, Garrett TJ. Expanding Lipidome Coverage Using LC-MS/MS Data-Dependent Acquisition with Automated Exclusion List Generation. Journal of the American Society For Mass Spectrometry. PMID 28265968 DOI: 10.1007/S13361-017-1608-0 |
0.763 |
|
| 2017 |
Koelmel JP, Ulmer CZ, Jones CM, Yost RA, Bowden JA. Common cases of improper lipid annotation using high-resolution tandem mass spectrometry data and corresponding limitations in biological interpretation. Biochimica Et Biophysica Acta. PMID 28263877 DOI: 10.1016/J.Bbalip.2017.02.016 |
0.786 |
|
| 2017 |
Ulmer CZ, Koelmel JP, Ragland JM, Garrett TJ, Bowden JA. LipidPioneer : A Comprehensive User-Generated Exact Mass Template for Lipidomics. Journal of the American Society For Mass Spectrometry. PMID 28074328 DOI: 10.1007/S13361-016-1579-6 |
0.784 |
|
| 2015 |
Ulmer CZ, Yost RA, Chen J, Mathews CE, Garrett TJ. Liquid Chromatography-Mass Spectrometry Metabolic and Lipidomic Sample Preparation Workflow for Suspension-Cultured Mammalian Cells using Jurkat T lymphocyte Cells. Journal of Proteomics & Bioinformatics. 8: 126-132. PMID 26401069 DOI: 10.4172/Jpb.1000360 |
0.598 |
|
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