Uma Subramanian
Papers
2
Total Citations
60
H-Index
2
About
Uma Subramanian is a leading figure in the development of high-throughput biodosimetry, specializing in the automation of cytogenetic assays for rapid radiation exposure assessment. Her work directly addresses the critical challenge of triaging large populations following a radiological mass casualty event. Subramanian’s most influential contribution is her pioneering research on sample tracking and management within automated cytogenetic laboratories, as detailed in her highly cited 2007 paper (45 citations). This foundational work established the protocols for processing and managing biological samples at scale, transforming classical, labor-intensive cytogenetic assays into efficient, automated systems. Her subsequent 2015 study (15 citations) further refined these high-throughput methodologies, solidifying her role in advancing the functional evolution of biodosimetry. By integrating robotics and informatics into traditional chromosome aberration analysis, Subramanian has significantly improved the speed and accuracy of radiation dose estimation, making mass casualty response more feasible. Her work remains essential reading for researchers in radiation biology, emergency preparedness, and automated laboratory systems.
Research Focus
Key Achievements
Top Papers
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