Yanni Lai
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- interferon and immune responses 3
- Immune Response and Inflammation 3
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Vectors 2
- Co-authors
- Xiaohong Liu (11 shared papers)Tiantian Han (6 shared papers)Geng Li (7 shared papers)Peiwen Zhou (2 shared papers)Zonghui Li (2 shared papers)Yaohua Fan (3 shared papers)Wenbiao Wang (1 shared paper)Pan Pan (1 shared paper)
- Journals
- Frontiers in Pharmacology (4 papers)Frontiers in Microbiology (3 papers)Journal of Medical Virology (2 papers)The Anatomical Record (1 paper)PeerJ (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yanni Lai
20 papers receiving 1.6k citations
Yanni Lai's Hit Papers
Peers
Comparison fields: 5 of 131
- Infectious Diseases 868
- Neurology 299
- Modeling and Simulation 69
- Pharmacology 91
- Complementary and alternative medicine 80
Countries citing papers authored by Yanni Lai
This map shows the geographic impact of Yanni Lai'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 Yanni Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanni Lai more than expected).
Fields of papers citing papers by Yanni Lai
This network shows the impact of papers produced by Yanni Lai. 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 Yanni Lai. The network helps show where Yanni Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanni Lai, 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 | Coronavirus infections and immune responses Hit paper breakdown → | 2020 | 1356 |
| 2 | 2016 | 90 | |
| 3 | 2020 | 37 | |
| 4 | 2021 | 34 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 22 | |
| 7 | 2014 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2019 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2016 | 1 |
About Yanni Lai
Yanni Lai is a scholar working on Immunology, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Molecular Biology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Influenza Virus Research Studies (3 papers), Immune Response and Inflammation (3 papers), Mosquito-borne diseases and control (2 papers), Computational Drug Discovery Methods (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infections and Vectors (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Infectious Diseases (868 citations), Neurology (299 citations), Modeling and Simulation (69 citations), Pharmacology (91 citations) and Complementary and alternative medicine (80 citations). Yanni Lai has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiaohong Liu, Tiantian Han, Geng Li, Peiwen Zhou, Zonghui Li, Yaohua Fan, Wenbiao Wang, Pan Pan, Dingwen Hu and Jianguo Wu. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Microbiology, Journal of Medical Virology, The Anatomical Record and PeerJ.
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.