Mingxia Sun
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
-
- Animal Virus Infections Studies 18
- Genetics 17
- Virus-based gene therapy research 16
- Co-authors
- Xuehui Cai (29 shared papers)Chen Li (8 shared papers)Zhi-Jun Tian (11 shared papers)Xiang Zhao Mao (8 shared papers)Tong-Yun Wang (10 shared papers)Yan‐Dong Tang (15 shared papers)Li Huang (6 shared papers)Pengpeng Li (4 shared papers)
- Journals
- Frontiers in Veterinary Science (5 papers)Archives of Virology (5 papers)Frontiers in Microbiology (4 papers)Viruses (4 papers)International Journal of Biological Macromolecules (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Mingxia Sun
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Animal Science and Zoology 240
- Infectious Diseases 299
- Epidemiology 337
- Virology 44
- Parasitology 59
Countries citing papers authored by Mingxia Sun
This map shows the geographic impact of Mingxia Sun'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 Mingxia Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Sun more than expected).
Fields of papers citing papers by Mingxia Sun
This network shows the impact of papers produced by Mingxia Sun. 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 Mingxia Sun. The network helps show where Mingxia Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxia Sun, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 124 | |
| 2 | 2012 | 74 | |
| 3 | 2013 | 73 | |
| 4 | 2021 | 64 | |
| 5 | 2016 | 62 | |
| 6 | 2013 | 60 | |
| 7 | 2015 | 49 | |
| 8 | 2015 | 44 | |
| 9 | 2021 | 42 | |
| 10 | 2017 | 41 | |
| 11 | 2021 | 41 | |
| 12 | 2020 | 41 | |
| 13 | 2017 | 36 | |
| 14 | 2020 | 35 | |
| 15 | 2016 | 34 | |
| 16 | 2012 | 34 | |
| 17 | 2012 | 31 | |
| 18 | 2022 | 27 | |
| 19 | 2020 | 24 | |
| 20 | 2022 | 22 |
About Mingxia Sun
Mingxia Sun is a scholar working on Animal Science and Zoology, Genetics, Epidemiology, Infectious Diseases and Molecular Biology, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (18 papers), Virus-based gene therapy research (16 papers), Herpesvirus Infections and Treatments (12 papers), Mosquito-borne diseases and control (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Immunology Research (7 papers), Plant Virus Research Studies (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Animal Science and Zoology (240 citations), Infectious Diseases (299 citations), Epidemiology (337 citations), Virology (44 citations) and Parasitology (59 citations). Mingxia Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xuehui Cai, Chen Li, Zhi-Jun Tian, Xiang Zhao Mao, Tong-Yun Wang, Yan‐Dong Tang, Li Huang, Pengpeng Li, Hassan Zackaria Ali Ishag and Tongqing An. Their work appears in journals such as Frontiers in Veterinary Science, Archives of Virology, Frontiers in Microbiology, Viruses and International Journal of Biological Macromolecules.
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.