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Yun Hee Baek

Researcher at Chungbuk National University

Publications -  61
Citations -  2011

Yun Hee Baek is an academic researcher from Chungbuk National University. The author has contributed to research in topics: Virus & Influenza A virus. The author has an hindex of 22, co-authored 53 publications receiving 1614 citations.

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Development of a reverse transcription-loop-mediated isothermal amplification as a rapid early-detection method for novel SARS-CoV-2.

TL;DR: The developed RT-LAMP assay is simple to perform, less expensive, time-efficient, and can be used in clinical laboratories for preliminary detection of SARS-CoV-2 in suspected patients and may contribute to the public health responses and disease control, especially in the areas with limited laboratory capacities.
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Environmental Contamination and Viral Shedding in MERS Patients During MERS-CoV Outbreak in South Korea

TL;DR: Viable Middle East Respiratory Syndrome coronavirus could be isolated from the environment surfaces and respiratory specimens from clinically recovered patients and sufficient isolation period are essential for MERS-CoV control.
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The Polymerase Acidic Protein Gene of Influenza A Virus Contributes to Pathogenicity in a Mouse Model

TL;DR: This is the first study that the isoleucine residue at position 97 in PA plays a key role in enhanced virulence in mice and is implicated in the adaptation of avian influenza viruses to mammalian hosts.
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Rapid and simple colorimetric detection of multiple influenza viruses infecting humans using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform

TL;DR: Results of this study suggest that the multiplex RT-LAMP assay may provide a rapid, sensitive, cost-effective, and reliable diagnostic method for identifying recent influenza viruses infecting humans, especially in locations without access to large platforms or sophisticated equipment.
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One-Pot Reverse Transcriptional Loop-Mediated Isothermal Amplification (RT-LAMP) for Detecting MERS-CoV.

TL;DR: This sensitive, specific and feasible method provides a large-scale technical support in emergencies, and is also applied as a sample-to-detection module in Point of Care Testing devices.