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Cited by in F6Publishing
For: Zhang Y, Qiu L, Wang Y, Qin X, Li Z. High-throughput and high-sensitivity quantitative analysis of serum unsaturated fatty acids by chip-based nanoelectrospray ionization-Fourier transform ion cyclotron resonance mass spectrometry: early stage diagnostic biomarkers of pancreatic cancer. Analyst 2014;139:1697-706. [PMID: 24551873 DOI: 10.1039/c3an02130k] [Cited by in Crossref: 18] [Cited by in F6Publishing: 11] [Article Influence: 2.6] [Reference Citation Analysis]
Number Citing Articles
1 Zhang Y, He C, Qiu L, Wang Y, Qin X, Liu Y, Li Z. Serum Unsaturated Free Fatty Acids: A Potential Biomarker Panel for Early-Stage Detection of Colorectal Cancer. J Cancer. 2016;7:477-483. [PMID: 26918062 DOI: 10.7150/jca.13870] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 4.4] [Reference Citation Analysis]
2 Guo Y, Ren J, Li X, Liu X, Liu N, Wang Y, Li Z. Simultaneous Quantification of Serum Multi-Phospholipids as Potential Biomarkers for Differentiating Different Pathophysiological states of lung, stomach, intestine, and pancreas. J Cancer. 2017;8:2191-2204. [PMID: 28819421 DOI: 10.7150/jca.19128] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
3 Southam AD, Lange A, Al-Salhi R, Hill EM, Tyler CR, Viant MR. Distinguishing between the metabolome and xenobiotic exposome in environmental field samples analysed by direct-infusion mass spectrometry based metabolomics and lipidomics. Metabolomics 2014;10:1050-8. [PMID: 25374485 DOI: 10.1007/s11306-014-0693-3] [Cited by in Crossref: 22] [Cited by in F6Publishing: 14] [Article Influence: 3.1] [Reference Citation Analysis]
4 Long NP, Yoon SJ, Anh NH, Nghi TD, Lim DK, Hong YJ, Hong SS, Kwon SW. A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer. Metabolomics 2018;14:109. [PMID: 30830397 DOI: 10.1007/s11306-018-1404-2] [Cited by in Crossref: 25] [Cited by in F6Publishing: 20] [Article Influence: 8.3] [Reference Citation Analysis]
5 Kirwan JA, Weber RJ, Broadhurst DI, Viant MR. Direct infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control. Sci Data 2014;1:140012. [PMID: 25977770 DOI: 10.1038/sdata.2014.12] [Cited by in Crossref: 81] [Cited by in F6Publishing: 70] [Article Influence: 11.6] [Reference Citation Analysis]
6 Chekmeneva E, Dos Santos Correia G, Chan Q, Wijeyesekera A, Tin A, Young JH, Elliott P, Nicholson JK, Holmes E. Optimization and Application of Direct Infusion Nanoelectrospray HRMS Method for Large-Scale Urinary Metabolic Phenotyping in Molecular Epidemiology. J Proteome Res 2017;16:1646-58. [PMID: 28245357 DOI: 10.1021/acs.jproteome.6b01003] [Cited by in Crossref: 26] [Cited by in F6Publishing: 22] [Article Influence: 6.5] [Reference Citation Analysis]
7 Calanzani N, Druce PE, Snudden C, Milley KM, Boscott R, Behiyat D, Saji S, Martinez-Gutierrez J, Oberoi J, Funston G, Messenger M, Emery J, Walter FM. Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Upper Gastrointestinal Cancers: A Systematic Review. Adv Ther 2021;38:793-834. [PMID: 33306189 DOI: 10.1007/s12325-020-01571-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
8 Zhang Y, He C, Qiu L, Wang Y, Zhang L, Qin X, Liu Y, Zhang D, Li Z. Serum unsaturated free Fatty acids: potential biomarkers for early detection and disease progression monitoring of non-small cell lung cancer. J Cancer 2014;5:706-14. [PMID: 25258652 DOI: 10.7150/jca.9787] [Cited by in Crossref: 11] [Cited by in F6Publishing: 15] [Article Influence: 1.6] [Reference Citation Analysis]
9 Zhang Y, Qiu L, He C, Wang Y, Liu Y, Zhang D, Li Z. Serum Unsaturated Free Fatty Acids: A Potential Biomarker Panel for Differentiating Benign Thyroid Diseases from Thyroid Cancer. J Cancer 2015;6:1276-81. [PMID: 26640588 DOI: 10.7150/jca.12433] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
10 Mitchell JM, Fan TW, Lane AN, Moseley HN. Development and in silico evaluation of large-scale metabolite identification methods using functional group detection for metabolomics. Front Genet 2014;5:237. [PMID: 25120557 DOI: 10.3389/fgene.2014.00237] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 1.6] [Reference Citation Analysis]
11 González-Domínguez R, Sayago A, Fernández-Recamales Á. Direct infusion mass spectrometry for metabolomic phenotyping of diseases. Bioanalysis 2017;9:131-48. [PMID: 27921460 DOI: 10.4155/bio-2016-0202] [Cited by in Crossref: 51] [Cited by in F6Publishing: 40] [Article Influence: 12.8] [Reference Citation Analysis]