Min Su Kang

McGill University

Papers

1

Total Citations

13

H-Index

1

About

Min Su Kang is a leading researcher in preclinical neuroimaging and translational neuroscience, with a focus on developing advanced methodologies for studying non-human primate models of brain disease. His most cited work, "Co-registration of Imaging Modalities (MRI, CT and PET) to Perform Frameless Stereotaxic Robotic Injections in the Common Marmoset" (2021, 13 citations), represents a significant technical contribution to the field. This paper introduces a novel frameless stereotaxic robotic injection system that integrates multimodal imaging—MRI, CT, and PET—to achieve precise, minimally invasive targeting in the common marmoset brain. By enabling accurate delivery of therapeutics or tracers without the need for traditional stereotaxic frames, Kang’s work enhances the reproducibility and translational relevance of preclinical studies, particularly for neurodegenerative and neuropsychiatric disorders. His research bridges engineering and neuroscience, offering a scalable tool for longitudinal imaging and intervention studies. With growing citation impact, Kang’s contributions are shaping the future of precision neurobiology, providing a foundation for more ethical and effective animal models in brain research.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Co-registration of Imaging Modalities (MRI, CT and PET) to Perform Frameless Stereotaxic Robotic Injections in the Common Marmoset
13 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: McGill University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago