Kun Mei
Impact in
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
-
- Epigenetics and DNA Methylation 4
-
- Influenza Virus Research Studies 6
- Respiratory viral infections research 3
- Co-authors
- Rong Yang (3 shared papers)Xiaolan Yu (3 shared papers)Quanjiao Chen (3 shared papers)Lihua Zhao (2 shared papers)Zhimin Gao (2 shared papers)Yuhai Bi (1 shared paper)Weifeng Shi (1 shared paper)Di Liu (1 shared paper)
- Journals
- Frontiers in Veterinary Science (2 papers)Frontiers in Microbiology (2 papers)Veterinary Microbiology (2 papers)Journal of General Virology (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Kun Mei
27 papers receiving 339 citations
Peers
Comparison fields: 5 of 64
- Agronomy and Crop Science 75
- Infectious Diseases 102
- Animal Science and Zoology 58
- Epidemiology 117
- Genetics 84
Countries citing papers authored by Kun Mei
This map shows the geographic impact of Kun Mei'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 Kun Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Mei more than expected).
Fields of papers citing papers by Kun Mei
This network shows the impact of papers produced by Kun Mei. 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 Kun Mei. The network helps show where Kun Mei may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Mei, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 76 | |
| 2 | 2014 | 46 | |
| 3 | 2014 | 34 | |
| 4 | 2024 | 23 | |
| 5 | 2015 | 15 | |
| 6 | 2023 | 13 | |
| 7 | 2004 | 13 | |
| 8 | 2017 | 13 | |
| 9 | 2024 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2010 | 11 | |
| 12 | 2017 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2020 | 5 |
About Kun Mei
Kun Mei is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Genetics and Animal Science and Zoology, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Influenza Virus Research Studies (6 papers), Animal Disease Management and Epidemiology (4 papers), Epigenetics and DNA Methylation (4 papers), Animal Virus Infections Studies (4 papers), Virus-based gene therapy research (4 papers), Alzheimer's disease research and treatments (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Agronomy and Crop Science (75 citations), Infectious Diseases (102 citations), Animal Science and Zoology (58 citations), Epidemiology (117 citations) and Genetics (84 citations). Kun Mei has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Rong Yang, Xiaolan Yu, Quanjiao Chen, Lihua Zhao, Zhimin Gao, Yuhai Bi, Weifeng Shi, Di Liu, Jianjun Chen and George F. Gao. Their work appears in journals such as Frontiers in Veterinary Science, Frontiers in Microbiology, Veterinary Microbiology, Journal of General Virology and Frontiers in Cellular and Infection Microbiology.
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.