Christina-Alexandra Schulz

Medicine & Life Sciences

1. Kidney 100%
2. Diet 93%
3. Genome-Wide Association Study 91%
4. Genetic Loci 80%
5. Type 2 Diabetes Mellitus 76%
6. Genetic Predisposition to Disease 75%
7. Mendelian Randomization Analysis 68%
8. Meta-Analysis 68%
9. Chronic Renal Insufficiency 67%
10. Glomerular Filtration Rate 65%
11. Incidence 63%
12. Dyslipidemias 60%
13. Single Nucleotide Polymorphism 57%
14. Lipids 52%
15. Triglycerides 49%
16. Genes 47%
17. Exome 47%
18. Carbohydrates 41%
19. Fasting 40%
20. Fats 40%
21. LDL Cholesterol 40%
22. Genome 38%
23. Random Allocation 38%
24. Birth Weight 37%
25. Neoplasms 36%
26. fibroblast growth factor 21 34%
27. Food 33%
28. proenkephalin 32%
29. Cardiovascular Diseases 32%
30. Melatonin MT2 Receptor 31%
31. Leisure Activities 29%
32. Sugar-Sweetened Beverages 29%
33. Cholesterol 27%
34. Confidence Intervals 27%
35. Urokinase Plasminogen Activator Receptors 27%
36. Population 27%
37. Body Mass Index 27%
38. Albuminuria 25%
39. Glucose 25%
40. HDL Cholesterol 24%
41. Coenzyme A 24%
42. Catalogs 24%
43. Complement C3 24%
44. Diabetic Nephropathies 24%
45. Cohort Studies 24%
46. Dietary Fats 23%
47. Obesity 23%
48. Hypertriglyceridemia 22%
49. Gestational Diabetes 22%
50. Aortic Valve Stenosis 21%