Ju Sheng
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
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- Viral Infections and Immunology Research
Papers in
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- Viral Infections and Vectors 4
- Viral gastroenteritis research and epidemiology 4
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- Viral Infections and Immunology Research 4
- Co-authors
- Michael G. Rossmann (8 shared papers)Richard Kühn (3 shared papers)Pavel Plevka (3 shared papers)Michael S. Diamond (2 shared papers)Xinzheng Zhang (2 shared papers)Geng Meng (3 shared papers)Yue Liu (2 shared papers)Frank J. M. van Kuppeveld (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Journal of Virology (2 papers)Journal of Structural Biology (1 paper)Science (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Ju Sheng
13 papers receiving 736 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 370
- Cardiology and Cardiovascular Medicine 285
- Biochemistry 83
- Public Health, Environmental and Occupational Health 227
- Virology 25
Countries citing papers authored by Ju Sheng
This map shows the geographic impact of Ju Sheng'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 Ju Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Sheng more than expected).
Fields of papers citing papers by Ju Sheng
This network shows the impact of papers produced by Ju Sheng. 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 Ju Sheng. The network helps show where Ju Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Sheng, 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 | 2013 | 175 | |
| 2 | 2015 | 142 | |
| 3 | 2015 | 105 | |
| 4 | 2016 | 77 | |
| 5 | 2014 | 49 | |
| 6 | 2008 | 37 | |
| 7 | 2018 | 33 | |
| 8 | 2009 | 33 | |
| 9 | 2011 | 30 | |
| 10 | 2009 | 28 | |
| 11 | 2013 | 19 | |
| 12 | 2013 | 17 | |
| 13 | 2007 | 2 |
About Ju Sheng
Ju Sheng is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Molecular Biology and Epidemiology, having authored 13 papers that have together received 747 indexed citations. Recurring topics across this work include Viral Infections and Vectors (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Immunology Research (4 papers), Mosquito-borne diseases and control (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Insect symbiosis and bacterial influences (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Infectious Diseases (370 citations), Cardiology and Cardiovascular Medicine (285 citations), Biochemistry (83 citations), Public Health, Environmental and Occupational Health (227 citations) and Virology (25 citations). Ju Sheng has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Michael G. Rossmann, Richard Kühn, Pavel Plevka, Michael S. Diamond, Xinzheng Zhang, Geng Meng, Yue Liu, Frank J. M. van Kuppeveld, Jim Baggen and Hendrik Jan Thibaut. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Pharmacology and Experimental Therapeutics, Journal of Virology, Journal of Structural Biology and Science.
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.