Kam Wa Chan
-
- Traditional Chinese Medicine Studies 9
- Ginkgo biloba and Cashew Applications 6
- Complementary and Alternative Medicine Studies 4
- Traditional Chinese Medicine Analysis 3
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes 9
- Renal Diseases and Glomerulopathies 6
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 3
- Pharmacology top 5%
- Co-authors
- Sydney TangVivian Taam WongKar Neng LaiWai Han YiuLoretta Y.Y. ChanSkiva ChanKam S. WooJohn E. Sanderson
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American College of Cardiology (1 paper)Kidney International (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Kam Wa Chan
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 123
- Complementary and alternative medicine 191
- Nephrology 138
- Infectious Diseases 198
- Pharmacology 89
- Cardiology and Cardiovascular Medicine 184
Countries citing papers authored by Kam Wa Chan
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).
Fields of papers citing papers by Kam Wa Chan
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.
Co-authorship network
The 25 scholars most cited alongside Kam Wa Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 14 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 10 | |
| 17 | 2018 | 52 | |
| 18 | 2016 | 18 | |
| 19 | 1999 | 142 | |
| 20 | 1992 | 32 |
About Kam Wa Chan
Kam Wa Chan is a scholar working on Complementary and alternative medicine, Nephrology and Pharmacology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (9 papers), Traditional Chinese Medicine Studies (9 papers), COVID-19 Clinical Research Studies (6 papers), Renal Diseases and Glomerulopathies (6 papers), Ginkgo biloba and Cashew Applications (6 papers), Complementary and Alternative Medicine Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Complementary and alternative medicine (191 citations), Nephrology (138 citations) and Infectious Diseases (198 citations). Kam Wa Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Sydney Tang, Vivian Taam Wong, Kar Neng Lai, Wai Han Yiu, Loretta Y.Y. Chan, Skiva Chan, Kam S. Woo, John E. Sanderson, Leata Y.C. Yeung and Kenneth Raymond. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Kidney International.
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.