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Cited by in F6Publishing
For: Guan S, Jia B, Chao K, Zhu X, Tang J, Li M, Wu L, Xing L, Liu K, Zhang L, Wang X, Gao X, Huang M. UPLC–QTOF-MS-Based Plasma Lipidomic Profiling Reveals Biomarkers for Inflammatory Bowel Disease Diagnosis. J Proteome Res 2020;19:600-9. [DOI: 10.1021/acs.jproteome.9b00440] [Cited by in Crossref: 7] [Cited by in F6Publishing: 16] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Wang A, Shi M, Xing J, Liu S, Liu Z, Song F. Treatment effects of Radix ginseng-Schisandra chinensis herb pair on Alzheimer’s disease: an investigation of MS-based metabolomics investigation. Journal of Pharmaceutical and Biomedical Analysis 2022. [DOI: 10.1016/j.jpba.2022.115007] [Reference Citation Analysis]
2 Zhang L, Hu Y, An Y, Wang Q, Liu J, Wang G. The Changes of Lipidomic Profiles Reveal Therapeutic Effects of Exenatide in Patients With Type 2 Diabetes. Front Endocrinol 2022;13:677202. [DOI: 10.3389/fendo.2022.677202] [Reference Citation Analysis]
3 Zhang X, Hu B, Sun G, Zheng J, Hu H, Yang H, Cheng X, Lin A, Liu H. Plasma metabolomic profiles reveal regulatory effect of chitosan oligosaccharides on loperamide-induced constipation in mice. Journal of Pharmaceutical and Biomedical Analysis 2022;211:114590. [DOI: 10.1016/j.jpba.2022.114590] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Guan S, Liu K, Liu Z, Zhou L, Jia B, Wang Z, Nie Y, Zhang X. UPLC-Q-TOF/MS-Based Plasma and Urine Metabolomics Contribute to the Diagnosis of Sepsis. J Proteome Res 2021. [PMID: 34941272 DOI: 10.1021/acs.jproteome.1c00777] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Tsai JS, Wang SY, Chang CH, Chen CY, Wen CJ, Chen GY, Kuo CH, Tseng YJ, Chen CY. Identification of traumatic acid as a potential plasma biomarker for sarcopenia using a metabolomics-based approach. J Cachexia Sarcopenia Muscle 2021. [PMID: 34939349 DOI: 10.1002/jcsm.12895] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
6 Ma X, Xu T, Qian M, Zhang Y, Yang Z, Han X. Faecal microbiota transplantation alleviates early-life antibiotic-induced gut microbiota dysbiosis and mucosa injuries in a neonatal piglet model. Microbiol Res 2021;255:126942. [PMID: 34915267 DOI: 10.1016/j.micres.2021.126942] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
7 Zhu T, Xue Q, Liu Y, Xu Y, Xiong C, Lu J, Yang H, Zhang Q, Huang Y. Analysis of Intestinal Microflora and Metabolites From Mice With DSS-Induced IBD Treated With Schistosoma Soluble Egg Antigen. Front Cell Dev Biol 2021;9:777218. [PMID: 34858992 DOI: 10.3389/fcell.2021.777218] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
8 Luo Y, Wang Y, Ma Y, Wang P, Zhong J, Chu Y. Augmented Renal Clearance: What Have We Known and What Will We Do? Front Pharmacol 2021;12:723731. [PMID: 34795579 DOI: 10.3389/fphar.2021.723731] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
9 Lee EG, Yoon YC, Yoon J, Lee SJ, Oh YK, Kwon SW. Systematic Review of Recent Lipidomics Approaches Toward Inflammatory Bowel Disease. Biomol Ther (Seoul) 2021;29:582-95. [PMID: 34565718 DOI: 10.4062/biomolther.2021.125] [Reference Citation Analysis]
10 Tanaka I, Furukawa T, Morise M. The current issues and future perspective of artificial intelligence for developing new treatment strategy in non-small cell lung cancer: harmonization of molecular cancer biology and artificial intelligence. Cancer Cell Int 2021;21:454. [PMID: 34446006 DOI: 10.1186/s12935-021-02165-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
11 Bjerrum JT, Wang YL, Seidelin JB, Nielsen OH. IBD metabonomics predicts phenotype, disease course, and treatment response. EBioMedicine 2021;71:103551. [PMID: 34419930 DOI: 10.1016/j.ebiom.2021.103551] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
12 Li R, Yang L, Guan S, Lin M, Lai H, Liu K, Liu Z, Zhang X. UPLC-MS-Based Serum Metabolic Profiling Reveals Potential Biomarkers for Predicting Propofol Responsiveness in Females. J Proteome Res 2021. [PMID: 34384217 DOI: 10.1021/acs.jproteome.1c00554] [Reference Citation Analysis]
13 Liu K, Jia B, Zhou L, Xing L, Wu L, Li Y, Lu J, Zhang L, Guan S. Ultraperformance Liquid Chromatography Coupled with Quadrupole Time-of-Flight Mass Spectrometry-Based Metabolomics and Lipidomics Identify Biomarkers for Efficacy Evaluation of Mesalazine in a Dextran Sulfate Sodium-Induced Ulcerative Colitis Mouse Model. J Proteome Res 2021;20:1371-81. [PMID: 33356298 DOI: 10.1021/acs.jproteome.0c00757] [Cited by in Crossref: 2] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
14 Zhu F, Song D, Chen H, Tang Q, Huo S, Liu X, Chen K. A Lipidome Map of the Silkworm Bombyx mori: Influences of Viral Infection. J Proteome Res 2021;20:695-703. [PMID: 33175548 DOI: 10.1021/acs.jproteome.0c00608] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
15 Liu S, Pi Z, Liu Z, Song F, Liu S. Fecal metabolomics based on mass spectrometry to investigate the mechanism of qishen granules against isoproterenol‐induced chronic heart failure in rats. J Sep Sci 2020;43:4305-13. [DOI: 10.1002/jssc.202000622] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
16 Horta D, Moreno-Torres M, Ramírez-Lázaro MJ, Lario S, Kuligowski J, Sanjuan-Herráez JD, Quintas G, Villoria A, Calvet X. Analysis of the Association between Fatigue and the Plasma Lipidomic Profile of Inflammatory Bowel Disease Patients. J Proteome Res 2021;20:381-92. [PMID: 32969224 DOI: 10.1021/acs.jproteome.0c00462] [Cited by in F6Publishing: 4] [Reference Citation Analysis]