Kam Wa Chan

46 papers and 960 indexed citations i.

About

Kam Wa Chan is a scholar working on Nephrology, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kam Wa Chan has authored 46 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nephrology, 17 papers in Complementary and alternative medicine and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kam Wa Chan’s work include Chronic Kidney Disease and Diabetes (10 papers), Traditional Chinese Medicine Studies (8 papers) and Ginkgo biloba and Cashew Applications (6 papers). Kam Wa Chan is often cited by papers focused on Chronic Kidney Disease and Diabetes (10 papers), Traditional Chinese Medicine Studies (8 papers) and Ginkgo biloba and Cashew Applications (6 papers). Kam Wa Chan collaborates with scholars based in Hong Kong, China and United States. Kam Wa Chan's co-authors include Sydney C.W. Tang, Vivian Taam Wong, Kar Neng Lai, Wai Han Yiu, Gabriel Wai‐Kwok Yip, Leata Y.C. Yeung, John E. Sanderson, Kam S. Woo, Kenneth Raymond and Skiva Chan and has published in prestigious journals such as Journal of the American College of Cardiology, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Co-authorship network of co-authors of Kam Wa Chan i

Fields of papers citing papers by Kam Wa Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam Wa Chan. 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 Kam Wa Chan. The network helps show where Kam Wa Chan may publish in the future.

Countries citing papers authored by Kam Wa Chan

Since Specialization
Citations

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