kuan rong chan - Infectious Diseases

Author Information

Kuan Rong Chan is a prominent researcher affiliated with the Emerging Infectious Diseases Program at Duke-NUS Medical School in Singapore. With a focus on infectious diseases, Kuan Rong Chan has contributed significantly to understanding viral infections and their implications on human health. His research is especially relevant in the context of contemporary viral challenges, such as COVID-19 and flavivirus infections.

Research Contributions

Kuan Rong Chan has made substantial contributions to the field of infectious diseases, with an emphasis on the cellular and metabolic responses to viral infections. His recent work includes developing protocols for assessing cellular bioenergetics in flavivirus-infected cells and exploring the metabolic dysregulation associated with Zika virus infection and its impact on fetal development. Additionally, Chan has extensively studied the immune response mechanisms in COVID-19, including the role of mast cell activation and inflammasomes in disease severity. His research also extends to developing tools for correcting gene name errors and analyzing genetic variations in virus strains.

Aliases

There are no aliases provided for Kuan Rong Chan in the given data.

Publication and Citation Metrics

Metric	Value
Total Citation Count	980
h-index	19
Total Paper Count	54

Publications:

A protocol to assess cellular bioenergetics in flavivirus-infected cells

DOI: 10.1016/j.xpro.2022.101297

Year: 2022

Signatures of mast cell activation are associated with severe COVID-19

DOI: 10.1101/2021.05.31.21255594

Year: 2021

Dysregulated metabolism underpins Zika-virus-infection-associated impairment in fetal development

DOI: 10.1016/j.celrep.2021.110118

Year: 2021

Faculty Opinions recommendation of Inflammasomes are activated in response to SARS-CoV-2 infection and are associated with COVID-19 severity in patients.

DOI: 10.3410/f.739125275.793590758

Year: 2021

Faculty Opinions recommendation of Epigenome-wide association study of COVID-19 severity with respiratory failure

DOI: 10.3410/f.739946715.793584757

Year: 2021

Gene Updater: A Streamlit web tool that autocorrects and updates for Excel misidentified gene names

DOI: 10.21203/rs.3.rs-1146062/v1

Year: 2021

Faculty Opinions recommendation of SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution.

DOI: 10.3410/f.739133437.793582195

Year: 2021

Animal Coronavirus Diseases: Parallels with COVID-19 in Humans

DOI: 10.3390/v13081507

Year: 2021

Faculty Opinions recommendation of Systems vaccinology of the BNT162b2 mRNA vaccine in humans.

DOI: 10.3410/f.740455961.793587111

Year: 2021

Phylodynamic analysis and spike protein mutations in porcine deltacoronavirus with a new variant introduction in Taiwan

DOI: 10.1093/ve/veab096

Year: 2021

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