Thomas Y. K. Chan
- Cardiology and Cardiovascular Medicine top 5%
- Pharmacology top 1%
- Complementary and alternative medicine top 1%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Julia CritchleyBrian TomlinsonJuliana C.N. ChanRaymond WongGregory ChengClive S. CockramRobert P. YoungKam S. Woo
- Topics
- Poisoning and overdose treatments (13 papers)Plant-based Medicinal Research (8 papers)Pharmacovigilance and Adverse Drug Reactions (6 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Thomas Y. K. Chan
66 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Cardiology and Cardiovascular Medicine 416
- Pharmacology 367
- Complementary and alternative medicine 332
- Molecular Biology 254
- Endocrinology, Diabetes and Metabolism 182
Countries citing papers authored by Thomas Y. K. Chan
This map shows the geographic impact of Thomas Y. K. 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 Thomas Y. K. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Y. K. Chan more than expected).
Fields of papers citing papers by Thomas Y. K. Chan
This network shows the impact of papers produced by Thomas Y. K. 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 Thomas Y. K. Chan. The network helps show where Thomas Y. K. Chan may publish in the future.
Co-authorship network of co-authors of Thomas Y. K. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Y. K. Chan. A scholar is included among the top collaborators of Thomas Y. K. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Y. K. Chan. Thomas Y. K. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 75 | |
| 2 | 25 | |
| 3 | 5 | |
| 4 | 49 | |
| 5 | 37 | |
| 6 | 37 | |
| 7 | 46 | |
| 8 | 24 | |
| 9 | 101 | |
| 10 | 32 | |
| 11 | 18 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | Hospital admissions due to acute poisoning in the New Territories, Hong Kong. | 12 |
| 15 | Disease profiles in Chinese in Hong Kong: an analysis of the primary diagnoses in 561 acute hospital medical admissions. | 7 |
| 16 | 3 | |
| 17 | Disease profiles in Chinese in Hong Kong : an analysis of the primary diagnoses in 561 acute hospital medical admissions. | 3 |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 17 |
About Thomas Y. K. Chan
Thomas Y. K. Chan is a scholar working on Toxicology, Emergency Medicine and Complementary and alternative medicine, having authored 66 papers that have together received 1.7k indexed citations. Recurring topics across this work include Poisoning and overdose treatments (13 papers), Plant-based Medicinal Research (8 papers) and Pharmacovigilance and Adverse Drug Reactions (6 papers). The work is most often cited by research in Pharmacology (367 citations), Complementary and alternative medicine (332 citations) and Geriatrics and Gerontology (122 citations). Thomas Y. K. Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Julia Critchley, Brian Tomlinson, Juliana C.N. Chan, Raymond Wong, Gregory Cheng, Clive S. Cockram, Robert P. Young, Kam S. Woo, Paul Pui‐Hay But and G. Neil Thomas. Their work appears in journals such as Obesity Reviews, Metabolism and Age and Ageing.
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.