Wan Yang
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
- Epidemiology 33
- Influenza Virus Research Studies 20
- Data-Driven Disease Surveillance 9
- Virology and Viral Diseases 6
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- COVID-19 epidemiological studies 31
- Co-authors
- Jeffrey Shaman (28 shared papers)Sen Pei (6 shared papers)Linsey C. Marr (5 shared papers)Yimeng Song (1 shared paper)Бин Чэн (1 shared paper)Ruiyun Li (1 shared paper)Subbiah Elankumaran (2 shared papers)Alicia Karspeck (4 shared papers)
- Journals
- PLoS Computational Biology (10 papers)Journal of The Royal Society Interface (7 papers)Influenza and Other Respiratory Viruses (4 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Communications (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Wan Yang
68 papers receiving 5.6k citations
Wan Yang's Hit Papers
Peers
Comparison fields: 5 of 180
- Modeling and Simulation 2.4k
- Infectious Diseases 1.8k
- Epidemiology 1.5k
- General Dentistry 56
- Pulmonary and Respiratory Medicine 658
Countries citing papers authored by Wan Yang
This map shows the geographic impact of Wan Yang'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 Wan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Yang more than expected).
Fields of papers citing papers by Wan Yang
This network shows the impact of papers produced by Wan Yang. 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 Wan Yang. The network helps show where Wan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan Yang, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) Hit paper breakdown → | 2020 | 2325 |
| 2 | 2016 | 280 | |
| 3 | 2013 | 228 | |
| 4 | 2012 | 226 | |
| 5 | 2011 | 213 | |
| 6 | 2011 | 200 | |
| 7 | 2012 | 162 | |
| 8 | 2014 | 143 | |
| 9 | 2015 | 115 | |
| 10 | 2020 | 115 | |
| 11 | 2018 | 108 | |
| 12 | 2010 | 93 | |
| 13 | Seasonal trends in COVID-19 cases, hospitalizations, and mortality in the United States and Europe Hit paper breakdown → | 2023 | 86 |
| 14 | 2015 | 84 | |
| 15 | 2022 | 77 | |
| 16 | 2014 | 72 | |
| 17 | 2014 | 68 | |
| 18 | 2019 | 67 | |
| 19 | 2018 | 64 | |
| 20 | 2009 | 58 |
About Wan Yang
Wan Yang is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Global and Planetary Change and Oncology, having authored 72 papers that have together received 5.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (31 papers), Influenza Virus Research Studies (20 papers), Data-Driven Disease Surveillance (9 papers), Viral gastroenteritis research and epidemiology (7 papers), Climate variability and models (7 papers), Virology and Viral Diseases (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Infection Control and Ventilation (5 papers). The work is most often cited by research in Modeling and Simulation (2.4k citations), Infectious Diseases (1.8k citations), Epidemiology (1.5k citations), General Dentistry (56 citations) and Pulmonary and Respiratory Medicine (658 citations). Wan Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jeffrey Shaman, Sen Pei, Linsey C. Marr, Yimeng Song, Бин Чэн, Ruiyun Li, Subbiah Elankumaran, Alicia Karspeck, Sasikiran Kandula and Marc Lipsitch. Their work appears in journals such as PLoS Computational Biology, Journal of The Royal Society Interface, Influenza and Other Respiratory Viruses, Proceedings of the National Academy of Sciences and Nature Communications.
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.