Cheryl Lin
Impact in
- Health top 1%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Health 8
- Vaccine Coverage and Hesitancy 8
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 2
- Co-authors
- Pikuei Tu (18 shared papers)Leslie M. Beitsch (1 shared paper)Jewel Mullen (3 shared papers)Hayden Barry Bosworth (2 shared papers)Leah L. Zullig (2 shared papers)DaiWai Olson (5 shared papers)Gregg Fonarow (5 shared papers)Lee H. Schwamm (5 shared papers)
- Journals
- Vaccines (7 papers)Journal of Personalized Medicine (2 papers)Journal of the American Heart Association (2 papers)Breast Cancer Research and Treatment (2 papers)Journal of Global Health (2 papers)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Cheryl Lin
31 papers receiving 1.5k citations
Cheryl Lin's Hit Papers
Peers
Comparison fields: 5 of 124
- Health 684
- Modeling and Simulation 165
- Family Practice 51
- Infectious Diseases 317
- Internal Medicine 39
Countries citing papers authored by Cheryl Lin
This map shows the geographic impact of Cheryl Lin'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 Cheryl Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheryl Lin more than expected).
Fields of papers citing papers by Cheryl Lin
This network shows the impact of papers produced by Cheryl Lin. 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 Cheryl Lin. The network helps show where Cheryl Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheryl Lin, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Confidence and Receptivity for COVID-19 Vaccines: A Rapid Systematic Review Hit paper breakdown → | 2020 | 637 |
| 2 | 2012 | 211 | |
| 3 | 2021 | 124 | |
| 4 | 2017 | 119 | |
| 5 | 2020 | 112 | |
| 6 | 2012 | 42 | |
| 7 | 2018 | 36 | |
| 8 | 2012 | 32 | |
| 9 | 2020 | 27 | |
| 10 | 2011 | 26 | |
| 11 | 2011 | 25 | |
| 12 | 2021 | 23 | |
| 13 | 2019 | 21 | |
| 14 | 2022 | 18 | |
| 15 | 2022 | 18 | |
| 16 | 2019 | 16 | |
| 17 | 2012 | 15 | |
| 18 | 2015 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2020 | 12 |
About Cheryl Lin
Cheryl Lin is a scholar working on Health, Infectious Diseases, Epidemiology, Family Practice and Cognitive Neuroscience, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), Acute Ischemic Stroke Management (5 papers), Misinformation and Its Impacts (5 papers), Psychology of Moral and Emotional Judgment (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 epidemiological studies (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Health (684 citations), Modeling and Simulation (165 citations), Family Practice (51 citations), Infectious Diseases (317 citations) and Internal Medicine (39 citations). Cheryl Lin has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Pikuei Tu, Leslie M. Beitsch, Jewel Mullen, Hayden Barry Bosworth, Leah L. Zullig, DaiWai Olson, Gregg Fonarow, Lee H. Schwamm, Eric David Peterson and Rachel Ellen Clark. Their work appears in journals such as Vaccines, Journal of Personalized Medicine, Journal of the American Heart Association, Breast Cancer Research and Treatment and Journal of Global Health.
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.