Albert Kam Ming Chan
- Sociology and Political Science top 10%
- Clinical Psychology top 10%
- Health top 10%
- Communication top 10%
- General Health Professions
- Co-authors
- Gavin M. JoyntAnna LeeJenny W. RudolphChristopher P NicksonChi Wai CheungGordon ChoiAllan H. K. YuenWilfred W. F. Lau
- Topics
- Simulation-Based Education in Healthcare (6 papers)COVID-19 and Mental Health (4 papers)COVID-19 and healthcare impacts (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCritical Care MedicineMedicine
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Albert Kam Ming Chan
13 papers receiving 505 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Sociology and Political Science 180
- Clinical Psychology 114
- Health 76
- Communication 73
- General Health Professions 65
Countries citing papers authored by Albert Kam Ming Chan
This map shows the geographic impact of Albert Kam Ming 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 Albert Kam Ming Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Kam Ming Chan more than expected).
Fields of papers citing papers by Albert Kam Ming Chan
This network shows the impact of papers produced by Albert Kam Ming 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 Albert Kam Ming Chan. The network helps show where Albert Kam Ming Chan may publish in the future.
Co-authorship network of co-authors of Albert Kam Ming Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Albert Kam Ming Chan. A scholar is included among the top collaborators of Albert Kam Ming 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 Albert Kam Ming Chan. Albert Kam Ming 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 | 0 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 26 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | Social media for rapid knowledge dissemination: early experience from the | 318 |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 22 | |
| 16 | 81 |
About Albert Kam Ming Chan
Albert Kam Ming Chan is a scholar working on Research and Theory, Emergency Medical Services and Applied Psychology, having authored 16 papers that have together received 524 indexed citations. Recurring topics across this work include Simulation-Based Education in Healthcare (6 papers), COVID-19 and Mental Health (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Communication (73 citations), Anesthesiology and Pain Medicine (55 citations) and Health (76 citations). Albert Kam Ming Chan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gavin M. Joynt, Anna Lee, Jenny W. Rudolph, Christopher P Nickson, Chi Wai Cheung, Gordon Choi, Allan H. K. Yuen, Wilfred W. F. Lau, Jae Park and Anna N. N. Hui. Their work appears in journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and Medicine.
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.