Maggie Li
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Virology top 10%
- Poxvirus research and outbreaks
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- SARS-CoV-2 detection and testing 5
- HIV/AIDS Research and Interventions 2
- COVID-19 Clinical Research Studies 2
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Andrew Pekosz (8 shared papers)Valentin Parvu (1 shared paper)Jeffrey C Andrews (1 shared paper)Yukari C. Manabe (1 shared paper)Devin S. Gary (1 shared paper)Salma Kodsi (1 shared paper)Charles K. Cooper (1 shared paper)C. Paul Morris (4 shared papers)
- Journals
- Clinical Infectious Diseases (3 papers)Frontiers in Immunology (1 paper)Science Advances (1 paper)AIDS and Behavior (1 paper)Academic Medicine (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Maggie Li
16 papers receiving 446 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 348
- Virology 43
- Modeling and Simulation 37
- Epidemiology 87
- Health 19
Countries citing papers authored by Maggie Li
This map shows the geographic impact of Maggie 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 Maggie Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maggie Li more than expected).
Fields of papers citing papers by Maggie Li
This network shows the impact of papers produced by Maggie 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 Maggie Li. The network helps show where Maggie Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Maggie 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 156 | |
| 2 | 2021 | 90 | |
| 3 | 2022 | 76 | |
| 4 | 2022 | 32 | |
| 5 | 2010 | 25 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | Demand for Health Insurance by Military Retirees | 2015 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2010 | 0 | |
| 20 | 2021 | 0 |
About Maggie Li
Maggie Li is a scholar working on Infectious Diseases, General Health Professions, Molecular Biology, Virology and Psychiatry and Mental health, having authored 21 papers that have together received 451 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), SARS-CoV-2 detection and testing (5 papers), HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), COVID-19 Clinical Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Herpesvirus Infections and Treatments (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Infectious Diseases (348 citations), Virology (43 citations), Modeling and Simulation (37 citations), Epidemiology (87 citations) and Health (19 citations). Maggie Li has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Andrew Pekosz, Valentin Parvu, Jeffrey C Andrews, Yukari C. Manabe, Devin S. Gary, Salma Kodsi, Charles K. Cooper, C. Paul Morris, Heba H. Mostafa and Eili Klein. Their work appears in journals such as Clinical Infectious Diseases, Frontiers in Immunology, Science Advances, AIDS and Behavior and Academic Medicine.
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.