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Cited by in F6Publishing
For: Lu T, Forgetta V, Yu OHY, Mokry L, Gregory M, Thanassoulis G, Greenwood CMT, Richards JB. Polygenic risk for coronary heart disease acts through atherosclerosis in type 2 diabetes. Cardiovasc Diabetol 2020;19:12. [PMID: 32000781 DOI: 10.1186/s12933-020-0988-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Hassan S, Najabat Ali M, Ghafoor B. An appraisal of polymers of DES technology and their impact on drug release kinetics. International Journal of Polymeric Materials and Polymeric Biomaterials. [DOI: 10.1080/00914037.2022.2090941] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Su J, Li Z, Huang M, Wang Y, Yang T, Ma M, Ni T, Pan G, Lai Z, Li C, Li L, Yu C. Triglyceride glucose index for the detection of the severity of coronary artery disease in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China. Cardiovasc Diabetol 2022;21. [DOI: 10.1186/s12933-022-01523-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
3 Morieri ML, Lamacchia O, Manzato E, Giaccari A, Avogardo A; Lipid-Lowering-Relevance Study Group. Physicians' misperceived cardiovascular risk and therapeutic inertia as determinants of low LDL-cholesterol targets achievement in diabetes. Cardiovasc Diabetol 2022;21:57. [PMID: 35473579 DOI: 10.1186/s12933-022-01495-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Li J, Ding J, Zhi DU, Gu K, Wang H, De Molon RS. Identification of Type 2 Diabetes Based on a Ten-Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm. BioMed Research International 2022;2022:1-15. [DOI: 10.1155/2022/1230761] [Reference Citation Analysis]
5 Neumann JT, Riaz M, Bakshi A, Polekhina G, Thao LTP, Nelson MR, Woods RL, Abraham G, Inouye M, Reid CM, Tonkin AM, McNeil J, Lacaze P. Prognostic Value of a Polygenic Risk Score for Coronary Heart Disease in Individuals Aged 70 Years and Older. Circ Genom Precis Med 2022;15:e003429. [PMID: 34949098 DOI: 10.1161/CIRCGEN.121.003429] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Jiao Y, Wang J, Yang X, Shen M, Xue H, Guo J, Dong W, Chen Y, Xi Q, Fu Z. Evaluation of the prognostic ability of serum uric acid for elderly acute coronary syndrome patients with diabetes mellitus: a prospective cohort study. J Zhejiang Univ Sci B 2021;22:856-65. [PMID: 34636188 DOI: 10.1631/jzus.B2000637] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Liang T, Liang A, Zhang X, Wang Q, Wu H, He J, Jin T. The association study between CYP20A1, CYP4F2, CYP2D6 gene polymorphisms and coronary heart disease risk in the Han population in southern China. Genes Genomics 2021. [PMID: 34302632 DOI: 10.1007/s13258-021-01125-9] [Reference Citation Analysis]
8 Chen H, Gao F, Bao Y, Zheng J, Sun L, Tang W, Zou J, Shi Y. Blimp-1 inhibits Th9 cell differentiation and attenuates diabetic coronary heart disease. Int Immunopharmacol 2021;95:107510. [PMID: 33706054 DOI: 10.1016/j.intimp.2021.107510] [Reference Citation Analysis]