Jianning Ge
Impact in
- Endocrinology top 1%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Immunology top 5%
- interferon and immune responses
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- Legionella and Acanthamoeba research 6
-
- Immune Response and Inflammation 3
- interferon and immune responses 2
- Co-authors
- Feng Shao (6 shared papers)Jae Ung Jung (9 shared papers)Qiming Liang (6 shared papers)Suan‐Sin Foo (3 shared papers)Weiqiang Chen (3 shared papers)Mary A. Rodgers (4 shared papers)Mude Shi (4 shared papers)Yi‐Nan Gong (2 shared papers)
- Journals
- Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)Nature Microbiology (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jianning Ge
14 papers receiving 1.7k citations
Jianning Ge's Hit Papers
Peers
Comparison fields: 5 of 90
- Endocrinology 360
- Immunology 559
- Infectious Diseases 444
- Public Health, Environmental and Occupational Health 528
- Virology 79
Countries citing papers authored by Jianning Ge
This map shows the geographic impact of Jianning 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 Jianning Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianning Ge more than expected).
Fields of papers citing papers by Jianning Ge
This network shows the impact of papers produced by Jianning 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 Jianning Ge. The network helps show where Jianning Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianning 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
| # | Work | ||
|---|---|---|---|
| 1 | Zika Virus NS4A and NS4B Proteins Deregulate Akt-mTOR Signaling in Human Fetal Neural Stem Cells to Inhibit Neurogenesis and Induce Autophagy Hit paper breakdown → | 2016 | 433 |
| 2 | 2014 | 320 | |
| 3 | 2011 | 174 | |
| 4 | 2009 | 144 | |
| 5 | 2017 | 134 | |
| 6 | 2012 | 102 | |
| 7 | 2012 | 84 | |
| 8 | 2013 | 74 | |
| 9 | 2013 | 68 | |
| 10 | 2011 | 63 | |
| 11 | 2015 | 28 | |
| 12 | 2014 | 26 | |
| 13 | 2024 | 20 | |
| 14 | 2015 | 14 |
About Jianning Ge
Jianning Ge is a scholar working on Endocrinology, Immunology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Mosquito-borne diseases and control (3 papers), Immune Response and Inflammation (3 papers), interferon and immune responses (2 papers), Viral Infections and Vectors (2 papers), Neonatal Health and Biochemistry (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Endocrinology (360 citations), Immunology (559 citations), Infectious Diseases (444 citations), Public Health, Environmental and Occupational Health (528 citations) and Virology (79 citations). Jianning Ge has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Feng Shao, Jae Ung Jung, Qiming Liang, Suan‐Sin Foo, Weiqiang Chen, Mary A. Rodgers, Mude Shi, Yi‐Nan Gong, Hao Xu and Jianxiong Zeng. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, PLoS ONE, Nature Microbiology and Cell Host & Microbe.
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.