Leo L. M. Poon
- Infectious Diseases top 0.01%
- SARS-CoV-2 and COVID-19 Research 125
- Viral gastroenteritis research and epidemiology 72
- SARS-CoV-2 detection and testing 52
- COVID-19 Clinical Research Studies 34
- Modeling and Simulation top 0.02%
- Animal Science and Zoology top 0.01%
- Animal Virus Infections Studies 60
- Epidemiology top 0.05%
- Influenza Virus Research Studies 115
- Respiratory viral infections research 67
- Agronomy and Crop Science top 0.05%
- Animal Disease Management and Epidemiology 50
- Co-authors
- Malik PeirisYi GuanKwok‐Yung YuenJohn M. NichollsKwok Hung ChanAlexander E. GorbalenyaJohn ZiebuhrDaniel K. W. Chu
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Leo L. M. Poon
300 papers receiving 40.0k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Infectious Diseases 27.8k
- Modeling and Simulation 3.8k
- Animal Science and Zoology 6.9k
- Epidemiology 10.7k
- Agronomy and Crop Science 3.0k
Countries citing papers authored by Leo L. M. Poon
This map shows the geographic impact of Leo L. M. Poon'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 Leo L. M. Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo L. M. Poon more than expected).
Fields of papers citing papers by Leo L. M. Poon
This network shows the impact of papers produced by Leo L. M. Poon. 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 Leo L. M. Poon. The network helps show where Leo L. M. Poon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leo L. M. Poon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 16 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 3 | |
| 6 | The episodic resurgence of highly pathogenic avian influenza H5 virusbreakdown → | 2023 | 143 |
| 7 | 2022 | 10 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 103 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 102 | |
| 15 | 2020 | 168 | |
| 16 | 2020 | 16 | |
| 17 | 2019 | 8 | |
| 18 | 2018 | 14 | |
| 19 | 2017 | 2 | |
| 20 | 2006 | 256 |
About Leo L. M. Poon
Leo L. M. Poon is a scholar working on Infectious Diseases, Animal Science and Zoology and Agronomy and Crop Science, having authored 303 papers that have together received 41.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (125 papers), Influenza Virus Research Studies (115 papers), Viral gastroenteritis research and epidemiology (72 papers), Respiratory viral infections research (67 papers), Animal Virus Infections Studies (60 papers), SARS-CoV-2 detection and testing (52 papers), Animal Disease Management and Epidemiology (50 papers) and COVID-19 Clinical Research Studies (34 papers). The work is most often cited by research in Infectious Diseases (27.8k citations), Modeling and Simulation (3.8k citations) and Animal Science and Zoology (6.9k citations). Leo L. M. Poon has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Malik Peiris, Yi Guan, Kwok‐Yung Yuen, John M. Nicholls, Kwok Hung Chan, Alexander E. Gorbalenya, John Ziebuhr, Daniel K. W. Chu, Christian Drosten and Ralph S. Baric. Their work appears in journals such as Nature, Science and Cell.
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.