Jun Xing
Impact in
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
-
- Viral gastroenteritis research and epidemiology
Papers in
-
- Animal Disease Management and Epidemiology 5
- Co-authors
- Michael J. Matunis (1 shared paper)Gideon Dreyfuss (1 shared paper)Lok Ting Lau (5 shared papers)Richard A. Collins (5 shared papers)Albert Cheung Hoi Yu (2 shared papers)Albert Cheung-Hoi Yu (3 shared papers)Natalie Dillon (1 shared paper)Jill Banks (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Genome Biology and Evolution (1 paper)Nucleic Acids Research (1 paper)Molecular Phylogenetics and Evolution (1 paper)Mitochondrial DNA Part B (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Xing
9 papers receiving 319 citations
Peers
Comparison fields: 5 of 56
- Agronomy and Crop Science 81
- Infectious Diseases 65
- Epidemiology 98
- Cardiology and Cardiovascular Medicine 52
- Molecular Biology 171
Countries citing papers authored by Jun Xing
This map shows the geographic impact of Jun Xing'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 Jun Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xing more than expected).
Fields of papers citing papers by Jun Xing
This network shows the impact of papers produced by Jun Xing. 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 Jun Xing. The network helps show where Jun Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xing, 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 | 1994 | 131 | |
| 2 | 2003 | 50 | |
| 3 | 2003 | 44 | |
| 4 | 2002 | 32 | |
| 5 | 2003 | 27 | |
| 6 | 2003 | 23 | |
| 7 | 2012 | 22 | |
| 8 | 2019 | 3 | |
| 9 | 2017 | 1 |
About Jun Xing
Jun Xing is a scholar working on Agronomy and Crop Science, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Infectious Diseases, having authored 9 papers that have together received 333 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (5 papers), Viral Infections and Immunology Research (3 papers), Influenza Virus Research Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Cancer-related molecular mechanisms research (2 papers), Animal Virus Infections Studies (1 paper), Estrogen and related hormone effects (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Agronomy and Crop Science (81 citations), Infectious Diseases (65 citations), Epidemiology (98 citations), Cardiology and Cardiovascular Medicine (52 citations) and Molecular Biology (171 citations). Jun Xing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael J. Matunis, Gideon Dreyfuss, Lok Ting Lau, Richard A. Collins, Albert Cheung Hoi Yu, Albert Cheung-Hoi Yu, Natalie Dillon, Jill Banks, Ian H. Brown and Yin‐Wan Wendy Fung. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genome Biology and Evolution, Nucleic Acids Research, Molecular Phylogenetics and Evolution and Mitochondrial DNA Part B.
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.