Papers

11

Total Citations

290

H-Index

9

About

Mikhail Repin is a leading researcher in radiation biodosimetry, specializing in the automation of cytogenetic assays for rapid, large-scale assessment of radiation exposure following nuclear or radiological emergencies. His work centers on the development and refinement of the Rapid Automated Biodosimetry Tool (RABiT) platform, a groundbreaking robotic system that has transformed how scientists measure radiation doses in human populations. Repin's most significant contributions include automating the cytokinesis-block micronucleus (CBMN) assay and the dicentric chromosome assay (DCA), two gold-standard methods for radiation triage. By integrating imaging flow cytometry, high-throughput robotics, and custom software, he has dramatically reduced the time and labor required for biodosimetry testing while maintaining clinical accuracy using minimal blood samples — as little as a fingerstick's worth. His 2019 paper on automated triage biodosimetry has garnered 54 citations, reflecting its broad influence on the field. Spanning nearly two decades, from RABiT's inception in 2005 through the third-generation RABiT-III system in 2024, Repin's body of work demonstrates sustained innovation. His research has been instrumental in preparing global health infrastructure for mass-casualty radiological events, making high-throughput biodosimetry practically deployable even at non-specialized facilities.

Research Focus

Key Achievements

9
H-Index
11
Papers
290
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Automated Triage Radiation Biodosimetry: Integrating Imaging Flow Cytometry with High-Throughput Robotics to Perform the Cytokinesis-Block Micronucleus Assay
54 citations · 2019
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: Medical Radiological Research Center, Columbia University Irving Medical Center, Columbia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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