BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Evans AM, O'Donovan C, Playdon M, Beecher C, Beger RD, Bowden JA, Broadhurst D, Clish CB, Dasari S, Dunn WB, Griffin JL, Hartung T, Hsu PC, Huan T, Jans J, Jones CM, Kachman M, Kleensang A, Lewis MR, Monge ME, Mosley JD, Taylor E, Tayyari F, Theodoridis G, Torta F, Ubhi BK, Vuckovic D; Metabolomics Quality Assurance, Quality Control Consortium (mQACC). Dissemination and analysis of the quality assurance (QA) and quality control (QC) practices of LC-MS based untargeted metabolomics practitioners. Metabolomics 2020;16:113. [PMID: 33044703 DOI: 10.1007/s11306-020-01728-5] [Cited by in Crossref: 22] [Cited by in F6Publishing: 25] [Article Influence: 7.3] [Reference Citation Analysis]
Number Citing Articles
1 Olivares-caro L, Nova-baza D, Radojkovic C, Bustamante L, Duran D, Mennickent D, Melin V, Contreras D, Perez AJ, Mardones C. Berberis microphylla G. Forst Intake Reduces the Cardiovascular Disease Plasmatic Markers Associated with a High-Fat Diet in a Mice Model. Antioxidants 2023;12:304. [DOI: 10.3390/antiox12020304] [Reference Citation Analysis]
2 Manzi M, Zabalegui N, Monge ME. Postoperative Metabolic Phenoreversion in Clear Cell Renal Cell Carcinoma. J Proteome Res 2023;22:1-15. [PMID: 36484409 DOI: 10.1021/acs.jproteome.2c00293] [Reference Citation Analysis]
3 Noerman S, Landberg R. Blood metabolite profiles linking dietary patterns with health—Toward precision nutrition. J Intern Med 2022. [DOI: 10.1111/joim.13596] [Reference Citation Analysis]
4 Gonda S, Szűcs Z, Plaszkó T, Cziáky Z, Kiss-szikszai A, Sinka D, Bácskay I, Vasas G. Quality-controlled LC-ESI-MS food metabolomics of fenugreek (Trigonella foenum-graecum) sprouts: insights into changes in primary and specialized metabolites. Food Research International 2022. [DOI: 10.1016/j.foodres.2022.112347] [Reference Citation Analysis]
5 da Silva Oliveira JP, de Oliveira RT, Guedes AL, da Costa Oliveira M, Macedo AF. Metabolomic studies of anthocyanins in fruits by means of a liquid chromatography coupled to mass spectrometry workflow. Current Plant Biology 2022;32:100260. [DOI: 10.1016/j.cpb.2022.100260] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Zhang N, Zhang P, Chen Q, Zhou K, Liu Y, Wang H, Xie Y, Ren L, Hou W, Yang J, Yu Y, Zheng Y, Shi L. Quartet metabolite reference materials for assessing inter-laboratory reliability and data integration of metabolomic profiling.. [DOI: 10.1101/2022.11.01.514762] [Reference Citation Analysis]
7 Dmitrenko A, Reid M, Zamboni N. A system suitability testing platform for untargeted, high-resolution mass spectrometry. Front Mol Biosci 2022;9:1026184. [DOI: 10.3389/fmolb.2022.1026184] [Reference Citation Analysis]
8 Kirwan JA, Gika H, Beger RD, Bearden D, Dunn WB, Goodacre R, Theodoridis G, Witting M, Yu LR, Wilson ID; metabolomics Quality Assurance and Quality Control Consortium (mQACC). Quality assurance and quality control reporting in untargeted metabolic phenotyping: mQACC recommendations for analytical quality management. Metabolomics 2022;18:70. [PMID: 36029375 DOI: 10.1007/s11306-022-01926-3] [Reference Citation Analysis]
9 Plaszkó T, Szűcs Z, Cziáky Z, Ács-szabó L, Csoma H, Géczi L, Vasas G, Gonda S. Correlations Between the Metabolome and the Endophytic Fungal Metagenome Suggests Importance of Various Metabolite Classes in Community Assembly in Horseradish (Armoracia rusticana, Brassicaceae) Roots. Front Plant Sci 2022;13:921008. [DOI: 10.3389/fpls.2022.921008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Chakraborty D, Sharma N, Kour S, Sodhi SS, Gupta MK, Lee SJ, Son YO. Applications of Omics Technology for Livestock Selection and Improvement. Front Genet 2022;13:774113. [DOI: 10.3389/fgene.2022.774113] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Rey-Stolle F, Dudzik D, Gonzalez-Riano C, Fernández-García M, Alonso-Herranz V, Rojo D, Barbas C, García A. Low and high resolution gas chromatography-mass spectrometry for untargeted metabolomics: A tutorial. Anal Chim Acta 2022;1210:339043. [PMID: 35595356 DOI: 10.1016/j.aca.2021.339043] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
12 Chen C, Lee D, Yu J, Lin Y, Lin T. Recent advances in LC‐MS‐based metabolomics for clinical biomarker discovery. Mass Spectrometry Reviews. [DOI: 10.1002/mas.21785] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Vitale CM, Lommen A, Huber C, Wagner K, Garlito Molina B, Nijssen R, Price EJ, Blokland M, van Tricht F, Mol HGJ, Krauss M, Debrauwer L, Pardo O, Leon N, Klanova J, Antignac JP. Harmonized Quality Assurance/Quality Control Provisions for Nontargeted Measurement of Urinary Pesticide Biomarkers in the HBM4EU Multisite SPECIMEn Study. Anal Chem 2022. [PMID: 35616234 DOI: 10.1021/acs.analchem.2c00061] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Frigerio G, Moruzzi C, Mercadante R, Schymanski EL, Fustinoni S. Development and Application of an LC-MS/MS Untargeted Exposomics Method with a Separated Pooled Quality Control Strategy. Molecules 2022;27:2580. [PMID: 35458780 DOI: 10.3390/molecules27082580] [Reference Citation Analysis]
15 Carmen B. Metabolomics in environmental toxicology: applications and challenges. Trends in Environmental Analytical Chemistry 2022. [DOI: 10.1016/j.teac.2022.e00161] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Kodra D, Pousinis P, Vorkas PA, Kademoglou K, Liapikos T, Pechlivanis A, Virgiliou C, Wilson ID, Gika H, Theodoridis G. Is Current Practice Adhering to Guidelines Proposed for Metabolite Identification in LC-MS Untargeted Metabolomics? A Meta-Analysis of the Literature. J Proteome Res 2021. [PMID: 34928621 DOI: 10.1021/acs.jproteome.1c00841] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
17 Anklam E, Bahl MI, Ball R, Beger RD, Cohen J, Fitzpatrick S, Girard P, Halamoda-Kenzaoui B, Hinton D, Hirose A, Hoeveler A, Honma M, Hugas M, Ishida S, Kass GE, Kojima H, Krefting I, Liachenko S, Liu Y, Masters S, Marx U, McCarthy T, Mercer T, Patri A, Pelaez C, Pirmohamed M, Platz S, Ribeiro AJ, Rodricks JV, Rusyn I, Salek RM, Schoonjans R, Silva P, Svendsen CN, Sumner S, Sung K, Tagle D, Tong L, Tong W, Eijnden-van-Raaij JVD, Vary N, Wang T, Waterton J, Wang M, Wen H, Wishart D, Yuan Y, Slikker W Jr. Emerging technologies and their impact on regulatory science. Exp Biol Med (Maywood) 2021;:15353702211052280. [PMID: 34783606 DOI: 10.1177/15353702211052280] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
18 Dudzik D, Macioszek S, Struck-lewicka W, Kordalewska M, Buszewska-forajta M, Waszczuk-jankowska M, Wawrzyniak R, Artymowicz M, Raczak-gutknecht J, Siluk D, Markuszewski MJ. Perspectives and challenges in extracellular vesicles untargeted metabolomics analysis. TrAC Trends in Analytical Chemistry 2021;143:116382. [DOI: 10.1016/j.trac.2021.116382] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
19 Saoi M, Britz-McKibbin P. New Advances in Tissue Metabolomics: A Review. Metabolites 2021;11:672. [PMID: 34677387 DOI: 10.3390/metabo11100672] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 7.0] [Reference Citation Analysis]
20 da Silva KM, Iturrospe E, Bars C, Knapen D, Van Cruchten S, Covaci A, van Nuijs ALN. Mass Spectrometry-Based Zebrafish Toxicometabolomics: A Review of Analytical and Data Quality Challenges. Metabolites 2021;11:635. [PMID: 34564451 DOI: 10.3390/metabo11090635] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
21 Chaby LE, Lasseter HC, Contrepois K, Salek RM, Turck CW, Thompson A, Vaughan T, Haas M, Jeromin A. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021;11:609. [PMID: 34564425 DOI: 10.3390/metabo11090609] [Reference Citation Analysis]
22 Castelli FA, Rosati G, Moguet C, Fuentes C, Marrugo-Ramírez J, Lefebvre T, Volland H, Merkoçi A, Simon S, Fenaille F, Junot C. Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests. Anal Bioanal Chem 2021. [PMID: 34432105 DOI: 10.1007/s00216-021-03586-z] [Cited by in Crossref: 10] [Cited by in F6Publishing: 13] [Article Influence: 5.0] [Reference Citation Analysis]
23 Aristizabal-Henao JJ, Lemas DJ, Griffin EK, Costa KA, Camacho C, Bowden JA. Metabolomic Profiling of Biological Reference Materials using a Multiplatform High-Resolution Mass Spectrometric Approach. J Am Soc Mass Spectrom 2021. [PMID: 34388338 DOI: 10.1021/jasms.1c00194] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
24 Maroli AS, Powers R. Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics. NMR in Biomedicine. [DOI: 10.1002/nbm.4594] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
25 Odenkirk MT, Reif DM, Baker ES. Multiomic Big Data Analysis Challenges: Increasing Confidence in the Interpretation of Artificial Intelligence Assessments. Anal Chem 2021;93:7763-73. [PMID: 34029068 DOI: 10.1021/acs.analchem.0c04850] [Cited by in Crossref: 1] [Cited by in F6Publishing: 10] [Article Influence: 0.5] [Reference Citation Analysis]
26 Riquelme G, Zabalegui N, Marchi P, Jones CM, Monge ME. A Python-Based Pipeline for Preprocessing LC-MS Data for Untargeted Metabolomics Workflows. Metabolites 2020;10:E416. [PMID: 33081373 DOI: 10.3390/metabo10100416] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]