Medicine & Life Sciences

1. Skin 100%
2. Melanoma 95%
3. Mycosis Fungoides 83%
4. Squamous Cell Carcinoma 76%
5. Granuloma Annulare 69%
6. Skin Neoplasms 69%
7. Dermatologists 66%
8. Inositol Polyphosphate 5-Phosphatases 65%
9. Deep Learning 56%
10. Lichen Planus 54%
11. Phase III Clinical Trials 49%
12. Diabetes Mellitus 49%
13. Neoplasms 48%
14. Therapeutics 44%
15. Photochemotherapy 44%
16. Transplant Recipients 38%
17. Survival 37%
18. Tongue Diseases 37%
19. Subcutaneous panniculitis-like T-cell lymphoma 35%
20. Lichenoid Eruptions 35%
21. Pityriasis Rubra Pilaris 34%
22. Necrobiosis Lipoidica 34%
23. Dermatitis 33%
24. secukinumab 33%
25. Lymphomatoid Papulosis 32%
26. hypericin 32%
27. INCB018424 32%
28. Artificial Intelligence 31%
29. pazopanib 30%
30. Sinus Histiocytosis 30%
31. Professional Practice Gaps 30%
32. Dermatology 30%
33. Pseudolymphoma 30%
34. Coccidioidomycosis 30%
35. Panniculitis 29%
36. Castleman Disease 29%
37. Bronchiolitis Obliterans 28%
38. Rituximab 28%
39. Safety 27%
40. Bullous Pemphigoid 26%
41. Sulfasalazine 26%
42. Cutaneous T-Cell Lymphoma 26%
43. Raynaud Disease 26%
44. Pemphigus 26%
45. Exfoliative Dermatitis 25%
46. Lymphoproliferative Disorders 24%
47. Calcitonin Gene-Related Peptide 24%
48. Pathology 23%
49. Basal Cell Carcinoma 23%
50. Chemoprevention 23%