Char Leung
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
-
- Long-Term Effects of COVID-19 4
- Peripheral Neuropathies and Disorders 3
- Co-authors
- Li Su (6 shared papers)László Kónya (1 shared paper)Karina Mary de Paiva (2 shared papers)Ana Cristina Simões e Silva (5 shared papers)Patrícia Haas (1 shared paper)Pak‐Leung Ho (1 shared paper)Eduardo A. Oliveira (2 shared papers)Siddharth Sridhar (1 shared paper)
- Journals
- Reviews in Medical Virology (2 papers)Human Vaccines & Immunotherapeutics (2 papers)Pacific Rim Property Research Journal (1 paper)Pediatric Pulmonology (1 paper)Pediatric Allergy and Immunology (1 paper)
- Partner nations
- United KingdomAustraliaBrazil
In The Last Decade
Char Leung
17 papers receiving 431 citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 65
- Infectious Diseases 174
- Neurology 80
- Obstetrics and Gynecology 36
- Critical Care and Intensive Care Medicine 15
Countries citing papers authored by Char Leung
This map shows the geographic impact of Char 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 Char Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Char Leung more than expected).
Fields of papers citing papers by Char Leung
This network shows the impact of papers produced by Char 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 Char Leung. The network helps show where Char Leung may publish in the future.
Co-authors
The 10 scholars most cited alongside Char 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 172 | |
| 2 | 2020 | 108 | |
| 3 | 2020 | 64 | |
| 4 | 2024 | 22 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2022 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2026 | 0 |
About Char Leung
Char Leung is a scholar working on Infectious Diseases, Neurology, Epidemiology, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 24 papers that have together received 443 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (4 papers), COVID-19 Impact on Reproduction (4 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 and healthcare impacts (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Modeling and Simulation (65 citations), Infectious Diseases (174 citations), Neurology (80 citations), Obstetrics and Gynecology (36 citations) and Critical Care and Intensive Care Medicine (15 citations). Char Leung has collaborated with scholars based in United Kingdom, Australia and Brazil. Frequent co-authors include Li Su, László Kónya, Karina Mary de Paiva, Ana Cristina Simões e Silva, Patrícia Haas, Pak‐Leung Ho, Eduardo A. Oliveira, Siddharth Sridhar, Munehito Machida and Jeremy Howick. Their work appears in journals such as Reviews in Medical Virology, Human Vaccines & Immunotherapeutics, Pacific Rim Property Research Journal, Pediatric Pulmonology and Pediatric Allergy and 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.