Chen, Y.; Ye, X.; Zhang, X.; Guo, Z.; Chen, W.; Pan, Z.; Zhang, Z.; Li, B.; Wang, H.; Yao, J.
Combination of Evidence from Bibliometrics and Bioinformatics Analysis Identifies miR-21 as a Potential Therapeutical Target for Diabetes. Metabolites 2024, 14, 403.
https://doi.org/10.3390/metabo14080403
AMA Style
Chen Y, Ye X, Zhang X, Guo Z, Chen W, Pan Z, Zhang Z, Li B, Wang H, Yao J.
Combination of Evidence from Bibliometrics and Bioinformatics Analysis Identifies miR-21 as a Potential Therapeutical Target for Diabetes. Metabolites. 2024; 14(8):403.
https://doi.org/10.3390/metabo14080403
Chicago/Turabian Style
Chen, Yiqing, Xuan Ye, Xiao Zhang, Zilin Guo, Wei Chen, Zihan Pan, Zengjie Zhang, Bing Li, Hongyun Wang, and Jianhua Yao.
2024. "Combination of Evidence from Bibliometrics and Bioinformatics Analysis Identifies miR-21 as a Potential Therapeutical Target for Diabetes" Metabolites 14, no. 8: 403.
https://doi.org/10.3390/metabo14080403
APA Style
Chen, Y., Ye, X., Zhang, X., Guo, Z., Chen, W., Pan, Z., Zhang, Z., Li, B., Wang, H., & Yao, J.
(2024). Combination of Evidence from Bibliometrics and Bioinformatics Analysis Identifies miR-21 as a Potential Therapeutical Target for Diabetes. Metabolites, 14(8), 403.
https://doi.org/10.3390/metabo14080403
