Junwei Ge
Impact in
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
- Food Science top 2%
- Probiotics and Fermented Foods
Papers in
-
- Animal Virus Infections Studies 23
- Food Science 11
- Probiotics and Fermented Foods 11
- Co-authors
- Shanshan Gu (9 shared papers)Xingyang Cui (11 shared papers)Yunjia Shi (10 shared papers)Xin Yan (6 shared papers)Shanshan Wen (8 shared papers)Hongyan Chen (5 shared papers)Diqiu Liu (6 shared papers)Hongyan Chen (11 shared papers)
- Journals
- Frontiers in Microbiology (6 papers)International Journal of Biological Macromolecules (4 papers)Frontiers in Veterinary Science (3 papers)Archives of Virology (3 papers)Comparative Immunology Microbiology and Infectious Diseases (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Junwei Ge
66 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 59
- Animal Science and Zoology 366
- Food Science 248
- Immunology 136
- Endocrinology 17
- Molecular Medicine 25
Countries citing papers authored by Junwei Ge
This map shows the geographic impact of Junwei 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 Junwei Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Ge more than expected).
Fields of papers citing papers by Junwei Ge
This network shows the impact of papers produced by Junwei 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 Junwei Ge. The network helps show where Junwei Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 186 | |
| 2 | 2018 | 125 | |
| 3 | 2018 | 93 | |
| 4 | 2017 | 85 | |
| 5 | 2018 | 75 | |
| 6 | 2017 | 69 | |
| 7 | 2012 | 52 | |
| 8 | 2011 | 51 | |
| 9 | 2011 | 49 | |
| 10 | 2020 | 46 | |
| 11 | 2016 | 40 | |
| 12 | 2010 | 35 | |
| 13 | 2019 | 33 | |
| 14 | 2010 | 30 | |
| 15 | 2012 | 30 | |
| 16 | 2016 | 28 | |
| 17 | 2019 | 22 | |
| 18 | 2023 | 20 | |
| 19 | 2006 | 17 | |
| 20 | 2013 | 17 |
About Junwei Ge
Junwei Ge is a scholar working on Animal Science and Zoology, Food Science, Immunology, Endocrinology and Agronomy and Crop Science, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (23 papers), Probiotics and Fermented Foods (11 papers), Bacterial biofilms and quorum sensing (4 papers), Escherichia coli research studies (4 papers), Aquaculture disease management and microbiota (3 papers), Immunotherapy and Immune Responses (3 papers), Biosensors and Analytical Detection (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Animal Science and Zoology (366 citations), Food Science (248 citations), Immunology (136 citations), Endocrinology (17 citations) and Molecular Medicine (25 citations). Junwei Ge has collaborated with scholars based in China and United States. Frequent co-authors include Shanshan Gu, Xingyang Cui, Yunjia Shi, Xin Yan, Shanshan Wen, Hongyan Chen, Diqiu Liu, Hongyan Chen, Lili Zhao and Shuang Xia. Their work appears in journals such as Frontiers in Microbiology, International Journal of Biological Macromolecules, Frontiers in Veterinary Science, Archives of Virology and Comparative Immunology Microbiology and Infectious Diseases.
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.