Mohannad Jabrah

Brown University

Papers

1

Total Citations

9

H-Index

1

About

Mohannad Jabrah is a rising researcher in the fields of bioanalytical chemistry and clinical pharmacology, with a focused expertise in therapeutic drug monitoring and psychiatric pharmacotherapy. His most cited work, an in-depth 2023 study on the quantification of four major classes of antidepressants from human serum using LC–MS/MS, addresses a critical bottleneck in personalized medicine: the challenge of matching patients with the right drug. By developing a robust, multi-class analytical method, Jabrah’s research enables precise serum-level measurements, directly supporting clinicians in optimizing antidepressant regimens for patients—a vital need given that depression diagnoses are rising globally, with women disproportionately affected. This work, which has already garnered 9 citations, highlights his contribution to bridging the gap between laboratory science and real-world psychiatric care. His achievements signal a promising trajectory in improving treatment outcomes for a condition that has seen a tripling of prescriptions over the past two decades, positioning him as a key voice in the push toward more individualized, data-driven mental health interventions.

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
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