Junghan Song
Papers
1
Total Citations
2
H-Index
1
About
Dr. Junghan Song is a leading figure in clinical mass spectrometry and laboratory medicine, with a focused expertise in the automation of sample preparation for therapeutic drug monitoring. His most cited work, a 2023 study evaluating the Andrew+ robotic liquid handler, demonstrates his commitment to enhancing the precision and efficiency of LC-MS/MS-based quantitation. This research, which garnered 2 citations, specifically addresses the critical need for reliable, automated workflows in measuring immunosuppressants in whole blood—a cornerstone of post-transplant patient management. By systematically validating a robotic system against manual methods, Dr. Song provides a practical framework for clinical laboratories to reduce human error and improve throughput. His contributions are pivotal for advancing personalized medicine, ensuring that complex analytical techniques become more accessible and reproducible in routine diagnostics. Through this work, Dr. Song not only showcases the potential of laboratory automation but also sets a new standard for quality in clinical toxicology and pharmacotherapy monitoring.
Research Focus
Key Achievements
Top Papers
- 1