Mika Kähönen

Medicine & Life Sciences

1. Blood Pressure 100%
2. Genome-Wide Association Study 89%
3. Atherosclerosis 79%
4. Inbred SHR Rats 78%
5. Genes 61%
6. Genome 61%
7. Hypertension 58%
8. Carotid Intima-Media Thickness 58%
9. Meta-Analysis 52%
10. Atherosclerotic Plaques 51%
11. Population 45%
12. Coronary Artery Disease 44%
13. DNA Methylation 43%
14. Body Mass Index 43%
15. Single Nucleotide Polymorphism 39%
16. Quinapril 37%
17. Calcium 37%
18. Lipids 36%
19. Pulse Wave Analysis 36%
20. Inbred WKY Rats 35%
21. Cohort Studies 35%
22. Endothelium 35%
23. Vascular Stiffness 34%
24. Exercise 34%
25. Blood Vessels 32%
26. Cardiovascular Diseases 31%
27. Genetic Loci 30%
28. Metabolomics 30%
29. Vascular Resistance 30%
30. Cognition 29%
31. Health 29%
32. Obesity 29%
33. Heart Rate 29%
34. Smoking 29%
35. Methylation 28%
36. Quantitative Trait Loci 28%
37. Mendelian Randomization Analysis 28%
38. Coronary Disease 27%
39. Epigenomics 27%
40. Young Adult 26%
41. Hemodynamics 25%
42. Serum 25%
43. Gene Expression 25%
44. Carotid Arteries 24%
45. Adiposity 24%
46. Biomarkers 24%
47. Phenotype 23%
48. Metabolic Syndrome 23%
49. Cholesterol 23%
50. Acetylcholine 23%