Jing Shaw
Impact in
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
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- Viral Infections and Immunology Research
Papers in
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- Viral Infections and Immunology Research 10
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- Viral gastroenteritis research and epidemiology 8
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Cara C. Burns (10 shared papers)Olen M. Kew (8 shared papers)Raymond P. Campagnoli (3 shared papers)Annelet Vincent (3 shared papers)Jaume Jorba (6 shared papers)Jacqueline Quay (1 shared paper)Jane Iber (5 shared papers)Mark A. Pallansch (2 shared papers)
- Journals
- Journal of Virology (3 papers)Computational and Structural Biotechnology Journal (1 paper)Journal of Clinical Microbiology (1 paper)npj Vaccines (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United StatesNigeriaUganda
In The Last Decade
Jing Shaw
9 papers receiving 626 citations
Peers
Comparison fields: 5 of 40
- Infectious Diseases 332
- Cardiology and Cardiovascular Medicine 372
- Animal Science and Zoology 74
- Virology 25
- Agronomy and Crop Science 55
Countries citing papers authored by Jing Shaw
This map shows the geographic impact of Jing Shaw'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 Jing Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Shaw more than expected).
Fields of papers citing papers by Jing Shaw
This network shows the impact of papers produced by Jing Shaw. 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 Jing Shaw. The network helps show where Jing Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Shaw, 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 | 2006 | 208 | |
| 2 | 2009 | 132 | |
| 3 | 2011 | 96 | |
| 4 | 2011 | 70 | |
| 5 | 2020 | 70 | |
| 6 | 2016 | 54 | |
| 7 | 2018 | 14 | |
| 8 | 2017 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2016 | 0 |
About Jing Shaw
Jing Shaw is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Biology, Epidemiology and Ecology, having authored 10 papers that have together received 659 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), Viral gastroenteritis research and epidemiology (8 papers), RNA and protein synthesis mechanisms (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Respiratory viral infections research (2 papers), Plant Virus Research Studies (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Infectious Diseases (332 citations), Cardiology and Cardiovascular Medicine (372 citations), Animal Science and Zoology (74 citations), Virology (25 citations) and Agronomy and Crop Science (55 citations). Jing Shaw has collaborated with scholars based in United States, Nigeria and Uganda. Frequent co-authors include Cara C. Burns, Olen M. Kew, Raymond P. Campagnoli, Annelet Vincent, Jaume Jorba, Jacqueline Quay, Jane Iber, Mark A. Pallansch, Baba M and Festus Adu. Their work appears in journals such as Journal of Virology, Computational and Structural Biotechnology Journal, Journal of Clinical Microbiology, npj Vaccines and New England Journal of Medicine.
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.