Lan Yi
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Outbreaks Research 2
- SARS-CoV-2 detection and testing 1
- Viral Infections and Vectors 1
- Viral gastroenteritis research and epidemiology 1
- COVID-19 Clinical Research Studies 1
-
- COVID-19 epidemiological studies 5
- Co-authors
- Marco Ajelli (4 shared papers)Hongjie Yu (6 shared papers)Yan Wang (1 shared paper)Kaiyuan Sun (3 shared papers)Hengcong Liu (3 shared papers)Zhaomin Feng (1 shared paper)Cécile Viboud (1 shared paper)Quanyi Wang (2 shared papers)
- Journals
- China CDC Weekly (2 papers)Infectious Disease Modelling (1 paper)Clinical Microbiology and Infection (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lan Yi
4 papers receiving 22 citations
Peers
Comparison fields: 5 of 12
- Modeling and Simulation 18
- Infectious Diseases 14
- Health 4
- Epidemiology 7
- Clinical Psychology 2
Countries citing papers authored by Lan Yi
This map shows the geographic impact of Lan Yi'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 Lan Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Yi more than expected).
Fields of papers citing papers by Lan Yi
This network shows the impact of papers produced by Lan Yi. 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 Lan Yi. The network helps show where Lan Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 11 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2025 | 0 |
About Lan Yi
Lan Yi is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Organic Chemistry and Surgery, having authored 6 papers that have together received 23 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Outbreaks Research (2 papers), SARS-CoV-2 detection and testing (1 paper), Respiratory viral infections research (1 paper), Viral Infections and Vectors (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Modeling and Simulation (18 citations), Infectious Diseases (14 citations), Health (4 citations), Epidemiology (7 citations) and Clinical Psychology (2 citations). Lan Yi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Marco Ajelli, Hongjie Yu, Yan Wang, Kaiyuan Sun, Hengcong Liu, Zhaomin Feng, Cécile Viboud, Quanyi Wang, Helen Y. Chu and Ziyan Liu. Their work appears in journals such as China CDC Weekly, Infectious Disease Modelling, Clinical Microbiology and Infection, Proceedings of the National Academy of Sciences and BMC 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.