Lin‐Lei Chen
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 17
- SARS-CoV-2 detection and testing 9
- COVID-19 Clinical Research Studies 7
- Viral gastroenteritis research and epidemiology 2
-
- Influenza Virus Research Studies 6
- Respiratory viral infections research 5
- Co-authors
- Kwok‐Yung Yuen (22 shared papers)Kelvin Kai‐Wang To (24 shared papers)Kwok‐Hung Chan (15 shared papers)Lu Lu (9 shared papers)Jonathan Daniel Ip (9 shared papers)Wan-Mui Chan (6 shared papers)Allen Wing‐Ho Chu (6 shared papers)Honglin Chen (7 shared papers)
In The Last Decade
Lin‐Lei Chen
26 papers receiving 718 citations
Lin‐Lei Chen's Hit Papers
Peers
Comparison fields: 5 of 78
- Infectious Diseases 538
- Modeling and Simulation 21
- Animal Science and Zoology 44
- Neurology 57
- Obstetrics and Gynecology 21
Countries citing papers authored by Lin‐Lei Chen
This map shows the geographic impact of Lin‐Lei Chen'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 Lin‐Lei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Lei Chen more than expected).
Fields of papers citing papers by Lin‐Lei Chen
This network shows the impact of papers produced by Lin‐Lei Chen. 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 Lin‐Lei Chen. The network helps show where Lin‐Lei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin‐Lei Chen, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2 Omicron variant shows less efficient replication and fusion activity when compared with Delta variant in TMPRSS2-expressed cells Hit paper breakdown → | 2021 | 266 |
| 2 | 2020 | 95 | |
| 3 | 2022 | 50 | |
| 4 | 2020 | 49 | |
| 5 | 2022 | 43 | |
| 6 | 2021 | 40 | |
| 7 | 2022 | 29 | |
| 8 | 2009 | 23 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2023 | 4 |
About Lin‐Lei Chen
Lin‐Lei Chen is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Immunology and Neurology, having authored 26 papers that have together received 725 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), SARS-CoV-2 detection and testing (9 papers), COVID-19 Clinical Research Studies (7 papers), Influenza Virus Research Studies (6 papers), Respiratory viral infections research (5 papers), Immunotherapy and Immune Responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (538 citations), Modeling and Simulation (21 citations), Animal Science and Zoology (44 citations), Neurology (57 citations) and Obstetrics and Gynecology (21 citations). Lin‐Lei Chen has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Kwok‐Yung Yuen, Kelvin Kai‐Wang To, Kwok‐Hung Chan, Lu Lu, Jonathan Daniel Ip, Wan-Mui Chan, Allen Wing‐Ho Chu, Honglin Chen, Dong‐Yan Jin and Hanjun Zhao. Their work appears in journals such as Emerging Microbes & Infections, Vaccines, iScience, Cell Host & Microbe and Epidemiology and Infection.
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.