Junjie Zai
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in ⓘ
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Outbreaks Research 4
- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 3
-
- Animal Virus Infections Studies 4
- Co-authors
- Xingguang Li (7 shared papers)Xiaofang Zhao (2 shared papers)Wei Wang (2 shared papers)Wei Ji (1 shared paper)Antoine Chaillon (4 shared papers)Yi Li (2 shared papers)Qing Nie (2 shared papers)Qiang Zhao (1 shared paper)
- Journals
- Journal of Medical Virology (3 papers)Scientific Reports (2 papers)Vaccine (2 papers)Virus Research (1 paper)Journal of Virology (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Junjie Zai
11 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 261
- Infectious Diseases 965
- Animal Science and Zoology 154
- Virology 67
- Neurology 149
Countries citing papers authored by Junjie Zai
This map shows the geographic impact of Junjie Zai'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 Junjie Zai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjie Zai more than expected).
Fields of papers citing papers by Junjie Zai
This network shows the impact of papers produced by Junjie Zai. 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 Junjie Zai. The network helps show where Junjie Zai may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjie Zai, 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 | Cross‐species transmission of the newly identified coronavirus 2019‐nCoV Hit paper breakdown → | 2020 | 655 |
| 2 | 2020 | 300 | |
| 3 | 2020 | 219 | |
| 4 | 2020 | 63 | |
| 5 | 2020 | 36 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2016 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2016 | 1 |
About Junjie Zai
Junjie Zai is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Virology and Genetics, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Animal Virus Infections Studies (4 papers), Viral Infections and Outbreaks Research (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Vectors (3 papers), Complex Network Analysis Techniques (1 paper), HIV Research and Treatment (1 paper) and Poxvirus research and outbreaks (1 paper). The work is most often cited by research in Modeling and Simulation (261 citations), Infectious Diseases (965 citations), Animal Science and Zoology (154 citations), Virology (67 citations) and Neurology (149 citations). Junjie Zai has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Xingguang Li, Xiaofang Zhao, Wei Wang, Wei Ji, Antoine Chaillon, Yi Li, Qing Nie, Qiang Zhao, Brian Foley and Qiang Zhao. Their work appears in journals such as Journal of Medical Virology, Scientific Reports, Vaccine, Virus Research and Journal of Virology.
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.