Michael Li
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
Papers in
-
- COVID-19 epidemiological studies 12
-
- SARS-CoV-2 and COVID-19 Research 7
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 detection and testing 2
- COVID-19 Clinical Research Studies 2
- Co-authors
- Jonathan Dushoff (11 shared papers)Benjamin M. Bolker (8 shared papers)David J. D. Earn (9 shared papers)David Champredon (5 shared papers)Nicholas H. Ogden (2 shared papers)Gary Van Domselaar (2 shared papers)Sarah P. Otto (2 shared papers)Caroline Colijn (3 shared papers)
- Journals
- BMC Public Health (2 papers)Epidemics (2 papers)Infectious Disease Modelling (1 paper)JAMA Network Open (1 paper)Current Biology (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Michael Li
23 papers receiving 607 citations
Michael Li's Hit Papers
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 222
- Infectious Diseases 343
- Health 39
- Public Health, Environmental and Occupational Health 71
- Virology 10
Countries citing papers authored by Michael Li
This map shows the geographic impact of Michael Li'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 Michael Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Li more than expected).
Fields of papers citing papers by Michael Li
This network shows the impact of papers produced by Michael Li. 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 Michael Li. The network helps show where Michael Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Li, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The origins and potential future of SARS-CoV-2 variants of concern in the evolving COVID-19 pandemic Hit paper breakdown → | 2021 | 216 |
| 2 | 2020 | 76 | |
| 3 | 2022 | 70 | |
| 4 | 2020 | 44 | |
| 5 | 2017 | 36 | |
| 6 | 2018 | 26 | |
| 7 | 2010 | 22 | |
| 8 | 2017 | 21 | |
| 9 | 2018 | 17 | |
| 10 | 1996 | 16 | |
| 11 | 2017 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2010 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2019 | 6 | |
| 18 | 2019 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Michael Li
Michael Li is a scholar working on Modeling and Simulation, Infectious Diseases, Surgery, Epidemiology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 618 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Outbreaks Research (3 papers), Influenza Virus Research Studies (2 papers), Agricultural risk and resilience (2 papers), SARS-CoV-2 detection and testing (2 papers), Vaccine Coverage and Hesitancy (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (222 citations), Infectious Diseases (343 citations), Health (39 citations), Public Health, Environmental and Occupational Health (71 citations) and Virology (10 citations). Michael Li has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Jonathan Dushoff, Benjamin M. Bolker, David J. D. Earn, David Champredon, Nicholas H. Ogden, Gary Van Domselaar, Sarah P. Otto, Caroline Colijn, Samir Mechai and Troy Day. Their work appears in journals such as BMC Public Health, Epidemics, Infectious Disease Modelling, JAMA Network Open and Current Biology.
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.