Antonella Fidanza

Medicine & Life Sciences

1. Pluripotent Stem Cells 100%
2. Induced Pluripotent Stem Cells 76%
3. Macrophages 71%
4. Hematopoietic Stem Cells 65%
5. Cell Tracking 35%
6. Single-Cell Analysis 34%
7. Hematopoietic System 33%
8. Erythrocytes 29%
9. Machine Learning 28%
10. Islands 27%
11. Cell Line 26%
12. Transcription Factors 24%
13. Transcriptional Activation 23%
14. Monocytes 21%
15. Gene Expression 20%
16. Human Embryonic Stem Cells 20%
17. Maintenance 19%
18. Erythroid Cells 18%
19. In Vitro Techniques 17%
20. Biomarkers 16%
21. Cell Lineage 15%
22. erythroid Kruppel-like factor 14%
23. Blood Transfusion 13%
24. Phenotype 12%
25. Scanning Transmission Electron Microscopy 11%
26. Breast Neoplasms 10%
27. Globins 10%
28. Endometrial Neoplasms 8%
29. Interleukin-33 8%
30. Transgenes 8%
31. Therapeutics 8%
32. Interleukin-4 8%
33. Erythroblasts 8%
34. Neoplasms 8%
35. Transcriptome 8%
36. Germ Layers 8%
37. Interleukin-10 7%
38. Cell- and Tissue-Based Therapy 7%
39. Plasmids 6%
40. Genetic Techniques 6%
41. Transfusion Reaction 6%
42. Cell Cycle 6%
43. Cell Survival 6%
44. Reporter Genes 6%
45. Erythrocyte Transfusion 6%
46. Fetal Blood 6%
47. Mouse Embryonic Stem Cells 5%
48. Hematopoietic Stem Cell Transplantation 5%
49. Hepatocytes 5%
50. RNA Sequence Analysis 5%