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For: Nayor M, Brown KJ, Vasan RS. The Molecular Basis of Predicting Atherosclerotic Cardiovascular Disease Risk. Circ Res 2021;128:287-303. [PMID: 33476202 DOI: 10.1161/CIRCRESAHA.120.315890] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 13.0] [Reference Citation Analysis]
Number Citing Articles
1 Reed E, Fellows A, Lu R, Rienks M, Schmidt L, Yin X, Duregotti E, Brandt M, Krasemann S, Hartmann K, Barallobre-Barreiro J, Addison O, Cuello F, Hansen A, Mayr M. Extracellular Matrix Profiling and Disease Modelling in Engineered Vascular Smooth Muscle Cell Tissues. Matrix Biol Plus 2022;16:100122. [PMID: 36193159 DOI: 10.1016/j.mbplus.2022.100122] [Reference Citation Analysis]
2 Bendridi N, Selmi A, Balcerczyk A, Pirola L. Ketone Bodies as Metabolites and Signalling Molecules at the Crossroad between Inflammation and Epigenetic Control of Cardiometabolic Disorders. IJMS 2022;23:14564. [DOI: 10.3390/ijms232314564] [Reference Citation Analysis]
3 Sultan S, Khan SU, Holden K, Abbas A, Zaman U, Naeem S, Rehman KU. Reducing The Threshold of Primary Prevention of Cardiovascular Disease to 10% Over 10 Years: The Implications of Altered Intensity ‘Statin’ Therapy Guidance. Current Problems in Cardiology 2022. [DOI: 10.1016/j.cpcardiol.2022.101486] [Reference Citation Analysis]
4 Zhou F, Li K, Yang K. Adipose-Derived Stem Cell Exosomes and Related microRNAs in Atherosclerotic Cardiovascular Disease. J Cardiovasc Transl Res 2022. [PMID: 36223051 DOI: 10.1007/s12265-022-10329-7] [Reference Citation Analysis]
5 Zhi W, Liu Y, Wang X, Zhang H. Recent advances of traditional Chinese medicine for the prevention and treatment of atherosclerosis. J Ethnopharmacol 2022;:115749. [PMID: 36181983 DOI: 10.1016/j.jep.2022.115749] [Reference Citation Analysis]
6 Li Q, Huang Z, Pang Z, Wang Q, Gao J, Chen J, Wang Z, Tan H, Li S, Xu F, Chen J, Liu M, Weng X, Yang H, Song Y, Qian J, Ge J. Targeted delivery of platelet membrane modified extracellular vesicles into atherosclerotic plaque to regress atherosclerosis. Chemical Engineering Journal 2022. [DOI: 10.1016/j.cej.2022.138992] [Reference Citation Analysis]
7 Petrucci G, Rizzi A, Hatem D, Tosti G, Rocca B, Pitocco D. Role of Oxidative Stress in the Pathogenesis of Atherothrombotic Diseases. Antioxidants 2022;11:1408. [DOI: 10.3390/antiox11071408] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Wan Z, Li X, Sun J, Li X, Liu Z, Dong H, Zhou Q, Qiu H, Xu J, Yang T, Wang W, Ou Y. Peripheral Blood Transcripts Predict Preoperative Obstructive Total Anomalous Pulmonary Venous Connection. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.892000] [Reference Citation Analysis]
9 Zolnikova OY, Reshetova MS, Ivanova MN, Ivashkin VT. Metabolomic profiles as a new understanding of disease processes. Rossijskij žurnal gastroènterologii, gepatologii, koloproktologii 2022;32:46-52. [DOI: 10.22416/1382-4376-2022-32-1-46-52] [Reference Citation Analysis]
10 Yang Y, Yi X, Cai Y, Zhang Y, Xu Z. Immune-Associated Gene Signatures and Subtypes to Predict the Progression of Atherosclerotic Plaques Based on Machine Learning. Front Pharmacol 2022;13:865624. [PMID: 35559253 DOI: 10.3389/fphar.2022.865624] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Zhang M, Xie Z, Long H, Ren K, Hou L, Wang Y, Xu X, Lei W, Yang Z, Ahmed S, Zhang H, Zhao G. Current advances in the imaging of atherosclerotic vulnerable plaque using nanoparticles. Materials Today Bio 2022. [DOI: 10.1016/j.mtbio.2022.100236] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Janjusevic M, Fluca AL, Gagno G, Pierri A, Padoan L, Sorrentino A, Beltrami AP, Sinagra G, Aleksova A. Old and Novel Therapeutic Approaches in the Management of Hyperglycemia, an Important Risk Factor for Atherosclerosis. Int J Mol Sci 2022;23:2336. [PMID: 35216451 DOI: 10.3390/ijms23042336] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Izundegui DG, Nayor M. Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms. Curr Diab Rep 2022. [PMID: 35113332 DOI: 10.1007/s11892-022-01449-0] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
14 Grosso G, Godos J, Currenti W, Micek A, Falzone L, Libra M, Giampieri F, Forbes-Hernández TY, Quiles JL, Battino M, La Vignera S, Galvano F. The Effect of Dietary Polyphenols on Vascular Health and Hypertension: Current Evidence and Mechanisms of Action. Nutrients 2022;14:545. [PMID: 35276904 DOI: 10.3390/nu14030545] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 13.0] [Reference Citation Analysis]
15 Fernandes Silva L, Vangipurapu J, Laakso M. The "Common Soil Hypothesis" Revisited-Risk Factors for Type 2 Diabetes and Cardiovascular Disease. Metabolites 2021;11:691. [PMID: 34677406 DOI: 10.3390/metabo11100691] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]