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
-
- CRISPR and Genetic Engineering 5
- Epidemiology 19
- Herpesvirus Infections and Treatments 13
- Co-authors
- Xuehui Cai (30 shared papers)Zhi‐Jun Tian (12 shared papers)Chen Li (8 shared papers)Yan‐Dong Tang (16 shared papers)Xiang Mao (8 shared papers)Tong-Yun Wang (10 shared papers)Tongqing An (18 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
- ChinaAustraliaUnited States
In The Last Decade
Mingxia Sun
66 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Animal Science and Zoology 241
- Infectious Diseases 297
- Epidemiology 426
- Virology 49
- Parasitology 71
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 | 122 | |
| 2 | 2015 | 110 | |
| 3 | 2013 | 72 | |
| 4 | 2012 | 69 | |
| 5 | 2021 | 61 | |
| 6 | 2016 | 61 | |
| 7 | 2013 | 56 | |
| 8 | 2015 | 48 | |
| 9 | 2015 | 43 | |
| 10 | 2021 | 41 | |
| 11 | 2017 | 40 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 37 | |
| 14 | 2017 | 35 | |
| 15 | 2016 | 33 | |
| 16 | 2012 | 31 | |
| 17 | 2020 | 31 | |
| 18 | 2012 | 29 | |
| 19 | 2022 | 26 | |
| 20 | 2020 | 21 |
About Mingxia Sun
Mingxia Sun is a scholar working on Molecular Biology, Epidemiology, Animal Science and Zoology, Genetics and Plant Science, having authored 72 papers that have together received 1.3k 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 (13 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 (241 citations), Infectious Diseases (297 citations), Epidemiology (426 citations), Virology (49 citations) and Parasitology (71 citations). Mingxia Sun has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xuehui Cai, Zhi‐Jun Tian, Chen Li, Yan‐Dong Tang, Xiang Mao, Tong-Yun Wang, Tongqing An, Pengpeng Li, Li Huang and Hassan Zackaria Ali Ishag. 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.