Daniel Leung
Impact in
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- Vaccine Coverage and Hesitancy
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
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- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 4
- Genetics 6
- Blood disorders and treatments 2
- Co-authors
- YL Lau (15 shared papers)Jaime S. Rosa Duque (11 shared papers)Wilfred Hing Sang Wong (6 shared papers)Hung‐Kwan So (3 shared papers)Patrick Ip (2 shared papers)Gilbert T. Chua (4 shared papers)Mike Yat Wah Kwan (2 shared papers)K. Tadesse (4 shared papers)
In The Last Decade
Daniel Leung
20 papers receiving 174 citations
Peers
Comparison fields: 5 of 64
- Health 44
- Infectious Diseases 96
- Modeling and Simulation 7
- Neurology 22
- Microbiology 8
Countries citing papers authored by Daniel Leung
This map shows the geographic impact of Daniel Leung'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 Daniel Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Leung more than expected).
Fields of papers citing papers by Daniel Leung
This network shows the impact of papers produced by Daniel Leung. 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 Daniel Leung. The network helps show where Daniel Leung may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Leung, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2022 | 28 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 17 | |
| 5 | 1975 | 12 | |
| 6 | 1987 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 1992 | 7 | |
| 11 | 1988 | 3 | |
| 12 | 1991 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 1992 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Daniel Leung
Daniel Leung is a scholar working on Infectious Diseases, Genetics, Health, Epidemiology and Immunology, having authored 22 papers that have together received 177 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Vaccine Coverage and Hesitancy (5 papers), COVID-19 Clinical Research Studies (4 papers), Respiratory viral infections research (3 papers), Nutritional Studies and Diet (2 papers), Blood disorders and treatments (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Health (44 citations), Infectious Diseases (96 citations), Modeling and Simulation (7 citations), Neurology (22 citations) and Microbiology (8 citations). Daniel Leung has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include YL Lau, Jaime S. Rosa Duque, Wilfred Hing Sang Wong, Hung‐Kwan So, Patrick Ip, Gilbert T. Chua, Mike Yat Wah Kwan, K. Tadesse, David Davies and Ka Man Yip. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Journal of Pediatric Gastroenterology and Nutrition, Frontiers in Pediatrics, Vaccine and Frontiers in Immunology.
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.