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Cited by in F6Publishing
For: Bajaj JS, Acharya C, Sikaroodi M, Gillevet PM, Thacker LR. Cost-effectiveness of integrating gut microbiota analysis into hospitalisation prediction in cirrhosis. GastroHep 2020;2:79-86. [PMID: 33071650 DOI: 10.1002/ygh2.390] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Reuter B, Bajaj JS. Microbiome: Emerging Concepts in Patients with Chronic Liver Disease.Clin Liver Dis. 2020;24:493-520. [PMID: 32620285 DOI: 10.1016/j.cld.2020.04.006] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
2 Leske M, Bottacini F, Afli H, Andrade BGN. BiGAMi: Bi-Objective Genetic Algorithm Fitness Function for Feature Selection on Microbiome Datasets. MPs 2022;5:42. [DOI: 10.3390/mps5030042] [Reference Citation Analysis]
3 Borroni D. Clinical Metagenomic Next-Generation Sequencing has the Potential to Reduce Costs in the Management of Microbial Keratitis Patients. Cornea 2021;40:e14. [PMID: 33782271 DOI: 10.1097/ICO.0000000000002719] [Reference Citation Analysis]
4 Acharya C, Bajaj JS. Chronic Liver Diseases and the Microbiome-Translating Our Knowledge of Gut Microbiota to Management of Chronic Liver Disease. Gastroenterology 2021;160:556-72. [PMID: 33253686 DOI: 10.1053/j.gastro.2020.10.056] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]