Ryan C. Lee
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Vaccine Coverage and Hesitancy
Papers in
- Health 6
- Vaccine Coverage and Hesitancy 6
-
- COVID-19 epidemiological studies 3
- Co-authors
- Janna B. Oetting (2 shared papers)Jennifer Beth Unger (24 shared papers)Daniel W. Soto (18 shared papers)Denise B. Flaherty (1 shared paper)Christian Bizer (1 shared paper)Emmanuel Pietriga (1 shared paper)Howard Hu (7 shared papers)Lily FitzGibbon (1 shared paper)
- Journals
- Preventive Medicine Reports (3 papers)Journal of American College Health (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)BMC Public Health (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Ryan C. Lee
32 papers receiving 290 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 25
- Health 34
- General Decision Sciences 9
- Developmental and Educational Psychology 42
- Modeling and Simulation 13
Countries citing papers authored by Ryan C. Lee
This map shows the geographic impact of Ryan C. Lee'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 Ryan C. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan C. Lee more than expected).
Fields of papers citing papers by Ryan C. Lee
This network shows the impact of papers produced by Ryan C. Lee. 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 Ryan C. Lee. The network helps show where Ryan C. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan C. Lee, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 46 | |
| 2 | 2020 | 31 | |
| 3 | 2019 | 29 | |
| 4 | Fresnel - A Browser-Independent Presentation Vocabulary for RDF | 2005 | 21 |
| 5 | 2013 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2023 | 14 | |
| 9 | 2014 | 12 | |
| 10 | 2014 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Ryan C. Lee
Ryan C. Lee is a scholar working on Health, Modeling and Simulation, Clinical Psychology, Infectious Diseases and Health Informatics, having authored 40 papers that have together received 303 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (6 papers), Racial and Ethnic Identity Research (5 papers), Smoking Behavior and Cessation (4 papers), Long-Term Effects of COVID-19 (3 papers), Substance Abuse Treatment and Outcomes (3 papers), COVID-19 and Mental Health (3 papers), SARS-CoV-2 detection and testing (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Health Informatics (25 citations), Health (34 citations), General Decision Sciences (9 citations), Developmental and Educational Psychology (42 citations) and Modeling and Simulation (13 citations). Ryan C. Lee has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Janna B. Oetting, Jennifer Beth Unger, Daniel W. Soto, Denise B. Flaherty, Christian Bizer, Emmanuel Pietriga, Howard Hu, Lily FitzGibbon, Henrike Moll and Andrew J. Hung. Their work appears in journals such as Preventive Medicine Reports, Journal of American College Health, Scientific Reports, PLoS ONE and BMC Public 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.