Malik Peiris
- Infectious Diseases top 0.01%
- SARS-CoV-2 and COVID-19 Research 218
- Viral gastroenteritis research and epidemiology 155
- COVID-19 Clinical Research Studies 76
- Modeling and Simulation top 0.01%
- COVID-19 epidemiological studies 98
- Agronomy and Crop Science top 0.01%
- Animal Disease Management and Epidemiology 186
- Epidemiology top 0.01%
- Influenza Virus Research Studies 472
- Respiratory viral infections research 293
- Animal Science and Zoology top 0.01%
- Animal Virus Infections Studies 97
- Co-authors
- Yi GuanLeo L. M. PoonKwok‐Yung YuenJohn M. NichollsRobert G. WebsterGavin J. D. SmithKwok Hung ChanDaniel K. W. Chu
- Journals
- Emerging infectious diseases (69 papers)Journal of Virology (64 papers)The Journal of Infectious Diseases (40 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Malik Peiris
835 papers receiving 72.6k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Infectious Diseases 41.9k
- Modeling and Simulation 7.5k
- Agronomy and Crop Science 12.9k
- Epidemiology 35.8k
- Animal Science and Zoology 8.8k
Countries citing papers authored by Malik Peiris
This map shows the geographic impact of Malik Peiris'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 Malik Peiris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malik Peiris more than expected).
Fields of papers citing papers by Malik Peiris
This network shows the impact of papers produced by Malik Peiris. 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 Malik Peiris. The network helps show where Malik Peiris may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Malik Peiris, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 23 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 91 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 102 | |
| 14 | 2019 | 8 | |
| 15 | 2017 | 2 | |
| 16 | Interferon dysregulation and virus-induced cell death in avian influenza H5N1 virus infections. | 2012 | 8 |
| 17 | Association of a single nucleotide polymorphism in the CD209 (DC-SIGN) promoter with SARS severity. | 2010 | 19 |
| 18 | 2006 | 256 | |
| 19 | 1986 | 34 | |
| 20 | 1985 | 54 |
About Malik Peiris
Malik Peiris is a scholar working on Infectious Diseases, Modeling and Simulation and Agronomy and Crop Science, having authored 854 papers that have together received 75.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (472 papers), Respiratory viral infections research (293 papers), SARS-CoV-2 and COVID-19 Research (218 papers), Animal Disease Management and Epidemiology (186 papers), Viral gastroenteritis research and epidemiology (155 papers), COVID-19 epidemiological studies (98 papers), Animal Virus Infections Studies (97 papers) and COVID-19 Clinical Research Studies (76 papers). The work is most often cited by research in Infectious Diseases (41.9k citations), Modeling and Simulation (7.5k citations) and Agronomy and Crop Science (12.9k citations). Malik Peiris has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yi Guan, Leo L. M. Poon, Kwok‐Yung Yuen, John M. Nicholls, Robert G. Webster, Gavin J. D. Smith, Kwok Hung Chan, Daniel K. W. Chu, Benjamin J. Cowling and Chung Yan Cheung. Their work appears in journals such as Emerging infectious diseases, Journal of Virology, The Journal of Infectious Diseases, PLoS ONE and Clinical Infectious Diseases.
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.