Ailing Dai
Impact in
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
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- Animal Virus Infections Studies 20
-
- Viral gastroenteritis research and epidemiology 12
- Co-authors
- Jiankui Liu (16 shared papers)Chunhua Wei (15 shared papers)Xiao-Yan Yang (7 shared papers)Manlin Luo (9 shared papers)Haichong Wu (5 shared papers)Kangfeng Jiang (4 shared papers)Xiaoyan Yang (4 shared papers)Xia Zhou (4 shared papers)
- Journals
- Transboundary and Emerging Diseases (4 papers)Archives of Virology (3 papers)Infection Genetics and Evolution (2 papers)PeerJ (2 papers)Scientific Reports (1 paper)
- Partner nations
- China
In The Last Decade
Ailing Dai
23 papers receiving 660 citations
Peers
Comparison fields: 5 of 61
- Animal Science and Zoology 432
- Infectious Diseases 325
- Genetics 265
- Agronomy and Crop Science 91
- Immunology 96
Countries citing papers authored by Ailing Dai
This map shows the geographic impact of Ailing Dai'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 Ailing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailing Dai more than expected).
Fields of papers citing papers by Ailing Dai
This network shows the impact of papers produced by Ailing Dai. 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 Ailing Dai. The network helps show where Ailing Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailing Dai, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 62 | |
| 2 | 2018 | 56 | |
| 3 | 2019 | 55 | |
| 4 | 2018 | 48 | |
| 5 | 2018 | 46 | |
| 6 | 2022 | 41 | |
| 7 | 2019 | 39 | |
| 8 | 2019 | 39 | |
| 9 | 2021 | 38 | |
| 10 | 2013 | 34 | |
| 11 | 2018 | 33 | |
| 12 | 2020 | 29 | |
| 13 | 2013 | 25 | |
| 14 | 2016 | 25 | |
| 15 | 2017 | 22 | |
| 16 | 2017 | 15 | |
| 17 | 2019 | 15 | |
| 18 | 2021 | 12 | |
| 19 | 2015 | 10 | |
| 20 | 2022 | 5 |
About Ailing Dai
Ailing Dai is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine and Plant Science, having authored 25 papers that have together received 664 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (20 papers), Viral gastroenteritis research and epidemiology (12 papers), Virus-based gene therapy research (10 papers), Viral Infections and Immunology Research (7 papers), Plant Virus Research Studies (3 papers), Microbial infections and disease research (2 papers), Reproductive System and Pregnancy (2 papers) and Reproductive Physiology in Livestock (2 papers). The work is most often cited by research in Animal Science and Zoology (432 citations), Infectious Diseases (325 citations), Genetics (265 citations), Agronomy and Crop Science (91 citations) and Immunology (96 citations). Ailing Dai has collaborated with scholars based in China. Frequent co-authors include Jiankui Liu, Chunhua Wei, Xiao-Yan Yang, Manlin Luo, Haichong Wu, Kangfeng Jiang, Xiaoyan Yang, Xia Zhou, Jing Yang and Xingxing Chen. Their work appears in journals such as Transboundary and Emerging Diseases, Archives of Virology, Infection Genetics and Evolution, PeerJ and Scientific Reports.
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.