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For: Everett JR. NMR-based pharmacometabonomics: A new paradigm for personalised or precision medicine. Prog Nucl Magn Reson Spectrosc 2017;102-103:1-14. [PMID: 29157489 DOI: 10.1016/j.pnmrs.2017.04.003] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 2.6] [Reference Citation Analysis]
Number Citing Articles
1 Theillet F, Luchinat E. In-cell NMR: Why and how? Progress in Nuclear Magnetic Resonance Spectroscopy 2022. [DOI: 10.1016/j.pnmrs.2022.04.002] [Reference Citation Analysis]
2 Haslauer KE, Schmitt-Kopplin P, Heinzmann SS. Data Processing Optimization in Untargeted Metabolomics of Urine Using Voigt Lineshape Model Non-Linear Regression Analysis. Metabolites 2021;11:285. [PMID: 33947160 DOI: 10.3390/metabo11050285] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Vignoli A, Ghini V, Meoni G, Licari C, Takis PG, Tenori L, Turano P, Luchinat C. High-Throughput Metabolomics by 1D NMR. Angew Chem Int Ed Engl. 2019;58:968-994. [PMID: 29999221 DOI: 10.1002/anie.201804736] [Cited by in Crossref: 101] [Cited by in F6Publishing: 82] [Article Influence: 25.3] [Reference Citation Analysis]
4 de Tullio P, Leenders J, Vega de Ceniga M, Chakfé N, Kolh PH. Metabolomics as an Innovative Tool for a Personalised Approach to Vascular Disease. Eur J Vasc Endovasc Surg 2019;57:329-30. [PMID: 30718034 DOI: 10.1016/j.ejvs.2019.01.003] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
5 Ghini V, Laera L, Fantechi B, Monte FD, Benelli M, McCartney A, Leonardo T, Luchinat C, Pozzessere D. Metabolomics to Assess Response to Immune Checkpoint Inhibitors in Patients with Non-Small-Cell Lung Cancer. Cancers (Basel) 2020;12:E3574. [PMID: 33265926 DOI: 10.3390/cancers12123574] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
6 Molloy B, Mullin L, King A, Gethings LA, Plumb RS, Wilson ID. The Pharmacometabodynamics of Gefitinib after Intravenous Administration to Mice: A Preliminary UPLC-IM-MS Study. Metabolites 2021;11:379. [PMID: 34208076 DOI: 10.3390/metabo11060379] [Reference Citation Analysis]
7 Letertre MPM, Giraudeau P, de Tullio P. Nuclear Magnetic Resonance Spectroscopy in Clinical Metabolomics and Personalized Medicine: Current Challenges and Perspectives. Front Mol Biosci 2021;8:698337. [PMID: 34616770 DOI: 10.3389/fmolb.2021.698337] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Fu J, Zhang Y, Liu J, Lian X, Tang J, Zhu F. Pharmacometabonomics: data processing and statistical analysis. Brief Bioinform 2021:bbab138. [PMID: 33866355 DOI: 10.1093/bib/bbab138] [Reference Citation Analysis]
9 Bingol K. Recent Advances in Targeted and Untargeted Metabolomics by NMR and MS/NMR Methods. High Throughput 2018;7:E9. [PMID: 29670016 DOI: 10.3390/ht7020009] [Cited by in Crossref: 58] [Cited by in F6Publishing: 47] [Article Influence: 14.5] [Reference Citation Analysis]
10 Ruhland E, Bund C, Outilaft H, Piotto M, Namer IJ. A metabolic database for biomedical studies of biopsy specimens by high-resolution magic angle spinning nuclear MR: a qualitative and quantitative tool. Magn Reson Med 2019;82:62-83. [PMID: 30847981 DOI: 10.1002/mrm.27696] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
11 Zhang P, Zhang W, Lang Y, Qu Y, Chu F, Chen J, Cui L. Mass spectrometry-based metabolomics for tuberculosis meningitis. Clin Chim Acta 2018;483:57-63. [PMID: 29678632 DOI: 10.1016/j.cca.2018.04.022] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
12 Vignoli A, Ghini V, Meoni G, Licari C, Takis PG, Tenori L, Turano P, Luchinat C. Hochdurchsatz‐Metabolomik mit 1D‐NMR. Angew Chem 2018;131:980-1007. [DOI: 10.1002/ange.201804736] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]