Oluwanifemi David Okoh

Brown University

Papers

1

Total Citations

9

H-Index

1

About

Oluwanifemi David Okoh is a rising researcher whose work sits at the critical intersection of analytical chemistry and clinical psychiatry, with a primary focus on therapeutic drug monitoring for mental health disorders. His most cited study, "An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS" (2023, 9 citations), addresses a pressing global challenge: the rising prevalence of depression—particularly among women—and the tripling of antidepressant prescriptions over the past two decades. Okoh’s major contribution lies in developing robust liquid chromatography-tandem mass spectrometry (LC–MS/MS) methods to simultaneously quantify multiple antidepressant classes in human serum. This work directly tackles the clinical "crossroad" of matching the right drug to the right patient, offering a pathway toward personalized psychiatry. By enabling precise serum level measurements, his research helps clinicians optimize dosing, reduce adverse effects, and improve treatment outcomes. Though early in his career, Okoh’s work signals a meaningful shift toward evidence-based, individualized mental health care, bridging the gap between complex analytical chemistry and real-world patient needs.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
An in-depth analysis of four classes of antidepressants quantification from human serum using LC–MS/MS
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Brown University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago