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For: Yang C, Han L, Li P, Ding Y, Zhu Y, Huang Z, Dan X, Shi Y, Kang X. Characterization and Duodenal Transcriptome Analysis of Chinese Beef Cattle With Divergent Feed Efficiency Using RNA-Seq. Front Genet 2021;12:741878. [PMID: 34675965 DOI: 10.3389/fgene.2021.741878] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhou X, Ma Y, Yang C, Zhao Z, Ding Y, Zhang Y, Wang P, Zhao L, Li C, Su Z, Wang X, Ming W, Zeng L, Kang X. Rumen and Fecal Microbiota Characteristics of Qinchuan Cattle with Divergent Residual Feed Intake. Microorganisms 2023;11:358. [DOI: 10.3390/microorganisms11020358] [Reference Citation Analysis]
2 Cheng X, Li X, Liu Y, Ma Y, Zhang R, Zhang Y, Fan C, Qu L, Ning Z. DNA methylome and transcriptome identified Key genes and pathways involved in Speckled Eggshell formation in aged laying hens. BMC Genomics 2023;24:31. [PMID: 36658492 DOI: 10.1186/s12864-022-09100-8] [Reference Citation Analysis]
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4 Wang X, Wang J, Raza SHA, Deng J, Ma J, Qu X, Yu S, Zhang D, Alshammari AM, Almohaimeed HM, Zan L. Identification of the hub genes related to adipose tissue metabolism of bovine. Front Vet Sci 2022;9. [DOI: 10.3389/fvets.2022.1014286] [Reference Citation Analysis]
5 Ogawa S, Darhan H, Suzuki K. Genetic and genomic analysis of oxygen consumption in mice. J Anim Breed Genet 2022. [PMID: 35608337 DOI: 10.1111/jbg.12721] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
6 Kaewsatuan P, Poompramun C, Kubota S, Yongsawatdigul J, Molee W, Uimari P, Molee A. Comparative proteomics revealed duodenal metabolic function associated with feed efficiency in slow-growing chicken. Poultry Science 2022. [DOI: 10.1016/j.psj.2022.101824] [Reference Citation Analysis]
7 Ogawa S, Darhan H, Suzuki K. Genetic and genomic analysis of oxygen consumption in mice.. [DOI: 10.1101/2022.02.05.479269] [Reference Citation Analysis]