Y. Chan
Impact in
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies
- Astronomical and nuclear sciences
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
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- COVID-19 epidemiological studies 3
-
- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Aleksandra B. Djurišić (3 shared papers)Ho‐Keung Ng (3 shared papers)Wai Sang Poon (3 shared papers)Changshu Ke (1 shared paper)R.G. Stokstad (4 shared papers)I. Tserruya (3 shared papers)S. Wald (3 shared papers)C W Lam (2 shared papers)
- Journals
- Journal of Medical Microbiology (3 papers)Cells Tissues Organs (3 papers)Vaccine (2 papers)Human Vaccines & Immunotherapeutics (2 papers)Physical Review Letters (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Y. Chan
46 papers receiving 948 citations
Peers
Comparison fields: 5 of 131
- Nuclear and High Energy Physics 210
- Modeling and Simulation 62
- Radiation 102
- Clinical Biochemistry 55
- Neurology 118
Countries citing papers authored by Y. Chan
This map shows the geographic impact of Y. 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 Y. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Chan more than expected).
Fields of papers citing papers by Y. Chan
This network shows the impact of papers produced by Y. 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 Y. Chan. The network helps show where Y. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 131 | |
| 2 | 1983 | 109 | |
| 3 | 2002 | 83 | |
| 4 | 1997 | 78 | |
| 5 | 2020 | 76 | |
| 6 | 1996 | 45 | |
| 7 | 2018 | 36 | |
| 8 | 1983 | 36 | |
| 9 | 2003 | 33 | |
| 10 | 2013 | 23 | |
| 11 | 1985 | 22 | |
| 12 | 1989 | 21 | |
| 13 | 1990 | 21 | |
| 14 | 1991 | 19 | |
| 15 | Pentoxifylline in the treatment of acute ischaemic stroke--a reappraisal in Chinese stroke patients. | 1993 | 19 |
| 16 | 2021 | 18 | |
| 17 | 2018 | 18 | |
| 18 | 2018 | 15 | |
| 19 | 1996 | 14 | |
| 20 | 2020 | 11 |
About Y. Chan
Y. Chan is a scholar working on Modeling and Simulation, Infectious Diseases, Nuclear and High Energy Physics, Neurology and Endocrinology, having authored 49 papers that have together received 986 indexed citations. Recurring topics across this work include Nuclear physics research studies (5 papers), Semiconductor Quantum Structures and Devices (3 papers), Respiratory viral infections research (3 papers), Retinal Development and Disorders (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Atomic and Molecular Physics (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (210 citations), Modeling and Simulation (62 citations), Radiation (102 citations), Clinical Biochemistry (55 citations) and Neurology (118 citations). Y. Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Aleksandra B. Djurišić, Ho‐Keung Ng, Wai Sang Poon, Changshu Ke, R.G. Stokstad, I. Tserruya, S. Wald, C W Lam, L. G. Sobotka and G. Guarino. Their work appears in journals such as Journal of Medical Microbiology, Cells Tissues Organs, Vaccine, Human Vaccines & Immunotherapeutics and Physical Review Letters.
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.