Kay Choong See

89 papers and 1.5k indexed citations i.

About

Kay Choong See is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Kay Choong See has authored 89 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 27 papers in Pulmonary and Respiratory Medicine and 24 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Kay Choong See’s work include Sepsis Diagnosis and Treatment (22 papers), Respiratory Support and Mechanisms (13 papers) and Ultrasound in Clinical Applications (11 papers). Kay Choong See is often cited by papers focused on Sepsis Diagnosis and Treatment (22 papers), Respiratory Support and Mechanisms (13 papers) and Ultrasound in Clinical Applications (11 papers). Kay Choong See collaborates with scholars based in Singapore, United States and United Kingdom. Kay Choong See's co-authors include Jason Phua, Tow Keang Lim, Amartya Mukhopadhyay, David C. Christiani, Adeline Tan, Mengling Feng, Venetia Ong, Juvel Taculod, Chee Kiang Tay and Kang Hoe Lee and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kay Choong See i

Fields of papers citing papers by Kay Choong See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay Choong See. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kay Choong See. The network helps show where Kay Choong See may publish in the future.

Countries citing papers authored by Kay Choong See

Since Specialization
Citations

This map shows the geographic impact of Kay Choong See's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kay Choong See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Choong See more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025