Jun Ge
Impact in
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
- Analytical Chemistry top 10%
- Petroleum Processing and Analysis
Papers in
-
- Insect Resistance and Genetics 9
- Viral Infectious Diseases and Gene Expression in Insects 9
- Immunology 13
- Aquaculture disease management and microbiota 10
- Invertebrate Immune Response Mechanisms 3
- Co-authors
- Chuan‐Xi Zhang (8 shared papers)Jinxian Yang (10 shared papers)James L. Stafford (3 shared papers)Miodrag Belosevic (3 shared papers)Rasika M. Harshey (3 shared papers)Tieying Song (9 shared papers)Xudong Tang (4 shared papers)Hai‐Jun Xu (4 shared papers)
- Journals
- Journal of Fish Diseases (3 papers)Insects (3 papers)Journal of General Virology (3 papers)Virus Genes (3 papers)BMC Plant Biology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Ge
41 papers receiving 522 citations
Peers
Comparison fields: 5 of 70
- Animal Science and Zoology 72
- Analytical Chemistry 66
- Insect Science 64
- Genetics 115
- Plant Science 146
Countries citing papers authored by Jun Ge
This map shows the geographic impact of Jun Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ge more than expected).
Fields of papers citing papers by Jun Ge
This network shows the impact of papers produced by Jun Ge. 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 Ge. The network helps show where Jun Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ge, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 67 | |
| 2 | 2012 | 37 | |
| 3 | 2008 | 34 | |
| 4 | 2021 | 32 | |
| 5 | 2012 | 31 | |
| 6 | 2014 | 26 | |
| 7 | 2008 | 25 | |
| 8 | 2022 | 24 | |
| 9 | 2016 | 20 | |
| 10 | 2013 | 20 | |
| 11 | 2008 | 19 | |
| 12 | 2010 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2011 | 13 | |
| 15 | 2008 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2015 | 11 | |
| 19 | 2008 | 10 | |
| 20 | 2014 | 10 |
About Jun Ge
Jun Ge is a scholar working on Molecular Biology, Immunology, Animal Science and Zoology, Plant Science and Genetics, having authored 46 papers that have together received 533 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (10 papers), Aquaculture disease management and microbiota (10 papers), Insect Resistance and Genetics (9 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Plant Stress Responses and Tolerance (5 papers), Entomopathogenic Microorganisms in Pest Control (5 papers), Virus-based gene therapy research (4 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Animal Science and Zoology (72 citations), Analytical Chemistry (66 citations), Insect Science (64 citations), Genetics (115 citations) and Plant Science (146 citations). Jun Ge has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chuan‐Xi Zhang, Jinxian Yang, James L. Stafford, Miodrag Belosevic, Rasika M. Harshey, Tieying Song, Xudong Tang, Hai‐Jun Xu, Jordan W. Hodgkinson and Xi Chen. Their work appears in journals such as Journal of Fish Diseases, Insects, Journal of General Virology, Virus Genes and BMC Plant Biology.
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.