Kee Seng Chia

134 papers and 5.0k indexed citations i.

About

Kee Seng Chia is a scholar working on Oncology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kee Seng Chia has authored 134 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 29 papers in Genetics and 24 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kee Seng Chia’s work include Global Cancer Incidence and Screening (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Genetic Associations and Epidemiology (13 papers). Kee Seng Chia is often cited by papers focused on Global Cancer Incidence and Screening (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Genetic Associations and Epidemiology (13 papers). Kee Seng Chia collaborates with scholars based in Singapore, Sweden and United States. Kee Seng Chia's co-authors include E Shyong Tai, Chuen Seng Tan, Chee Seng Ku, Yudi Pawitan, David Koh, En Yun Loy, Suok Kai Chew, Agus Salim, Tien Yin Wong and Seang‐Mei Saw and has published in prestigious journals such as The Lancet, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Kee Seng Chia i

Fields of papers citing papers by Kee Seng Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee Seng Chia. 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 Kee Seng Chia. The network helps show where Kee Seng Chia may publish in the future.

Countries citing papers authored by Kee Seng Chia

Since Specialization
Citations

This map shows the geographic impact of Kee Seng Chia'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 Kee Seng Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee Seng Chia 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