Weiwei Gai
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Viral Infections and Vectors 9
- Viral Infections and Outbreaks Research 8
- SARS-CoV-2 and COVID-19 Research 6
-
- Extracellular vesicles in disease 3
- Co-authors
- Xuexing Zheng (17 shared papers)Xianzhu Xia (16 shared papers)Songtao Yang (9 shared papers)Hualei Wang (12 shared papers)Yongkun Zhao (12 shared papers)Chong Wang (6 shared papers)Na Feng (8 shared papers)Hang Chi (5 shared papers)
- Journals
- Antiviral Research (2 papers)Virus Genes (2 papers)Colloids and Surfaces B Biointerfaces (2 papers)Oncotarget (2 papers)Microbial Pathogenesis (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Weiwei Gai
28 papers receiving 573 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 328
- Animal Science and Zoology 112
- Virology 49
- Microbiology 28
- Immunology 91
Countries citing papers authored by Weiwei Gai
This map shows the geographic impact of Weiwei Gai'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 Weiwei Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Gai more than expected).
Fields of papers citing papers by Weiwei Gai
This network shows the impact of papers produced by Weiwei Gai. 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 Weiwei Gai. The network helps show where Weiwei Gai may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Gai, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 109 | |
| 2 | 2016 | 78 | |
| 3 | 2017 | 49 | |
| 4 | 2010 | 33 | |
| 5 | 2020 | 30 | |
| 6 | 2016 | 26 | |
| 7 | 2013 | 25 | |
| 8 | 2008 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2014 | 20 | |
| 13 | 2021 | 15 | |
| 14 | 2009 | 14 | |
| 15 | 2011 | 13 | |
| 16 | 2017 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2014 | 7 |
About Weiwei Gai
Weiwei Gai is a scholar working on Infectious Diseases, Molecular Biology, Virology, Genetics and Animal Science and Zoology, having authored 29 papers that have together received 590 indexed citations. Recurring topics across this work include Viral Infections and Vectors (9 papers), Viral Infections and Outbreaks Research (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Animal Virus Infections Studies (5 papers), Virus-based gene therapy research (5 papers), Rabies epidemiology and control (5 papers), Extracellular vesicles in disease (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Infectious Diseases (328 citations), Animal Science and Zoology (112 citations), Virology (49 citations), Microbiology (28 citations) and Immunology (91 citations). Weiwei Gai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xuexing Zheng, Xianzhu Xia, Songtao Yang, Hualei Wang, Yongkun Zhao, Chong Wang, Na Feng, Hang Chi, Tiecheng Wang and Yuwei Gao. Their work appears in journals such as Antiviral Research, Virus Genes, Colloids and Surfaces B Biointerfaces, Oncotarget and Microbial Pathogenesis.
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.