Mohammad‐Reza Ghovanloo

VA Connecticut Healthcare System, Yale University

Papers

2

Total Citations

30

H-Index

2

About

Mohammad‐Reza Ghovanloo is a rising leader in electrophysiology, whose work is revolutionizing how we study excitable cells. His core research centers on advancing the patch-clamp technique—the gold standard for analyzing neurons, muscle cells, and ion channels. Ghovanloo’s major contributions lie in overcoming the traditional limitations of manual patch-clamp, which is slow and low-throughput. He has pioneered high-throughput, combined voltage-clamp/current-clamp methods, enabling rapid, simultaneous analysis of freshly isolated neurons. His 2023 paper on this topic has already garnered 19 citations, signaling its immediate impact. In his 2024 review, cited 11 times, Ghovanloo traces the evolution of patch-clamp from its manual origins to modern robotic, multiplex, and dynamic systems. This work not only synthesizes decades of progress but also charts a path for future drug screening and cellular analysis. By pushing the boundaries of throughput and automation, Ghovanloo is making sophisticated electrophysiological analysis more accessible, promising to accelerate discoveries in neuroscience and cardiology. His achievements mark him as a key innovator in the next generation of cellular biophysics.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
High-throughput combined voltage-clamp/current-clamp analysis of freshly isolated neurons
19 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: VA Connecticut Healthcare System, Yale University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago