Ning Chai
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Hepatitis B Virus Studies
- Reproductive Medicine top 5%
- Sperm and Testicular Function
Papers in
-
- Corneal Surgery and Treatments 8
-
- Hepatitis B Virus Studies 4
- Influenza Virus Research Studies 4
- Respiratory viral infections research 3
- Co-authors
- Paul Bates (2 shared papers)Eduardo Salido (2 shared papers)Pauline H. Yen (2 shared papers)John M. Taylor (4 shared papers)Lee R. Swem (4 shared papers)Émmanuelle Nicolas (2 shared papers)Ho Eun Chang (2 shared papers)James L. Riley (1 shared paper)
- Journals
- Journal of Virology (6 papers)Current Eye Research (4 papers)PLoS ONE (4 papers)Experimental Eye Research (2 papers)Nature Protocols (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Ning Chai
37 papers receiving 993 citations
Peers
Comparison fields: 5 of 100
- Epidemiology 446
- Reproductive Medicine 101
- Hepatology 87
- Infectious Diseases 164
- Immunology 158
Countries citing papers authored by Ning Chai
This map shows the geographic impact of Ning Chai'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 Ning Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Chai more than expected).
Fields of papers citing papers by Ning Chai
This network shows the impact of papers produced by Ning Chai. 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 Ning Chai. The network helps show where Ning Chai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Chai, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 139 | |
| 2 | 2003 | 94 | |
| 3 | 2006 | 89 | |
| 4 | 2008 | 84 | |
| 5 | 2016 | 76 | |
| 6 | 1997 | 70 | |
| 7 | 1997 | 69 | |
| 8 | 2020 | 63 | |
| 9 | 2017 | 50 | |
| 10 | 2014 | 38 | |
| 11 | 2014 | 35 | |
| 12 | 2015 | 34 | |
| 13 | 2008 | 25 | |
| 14 | 2014 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2007 | 18 | |
| 17 | 1996 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2007 | 9 | |
| 20 | 2009 | 9 |
About Ning Chai
Ning Chai is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Molecular Biology, Genetics and Infectious Diseases, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (8 papers), Hepatitis B Virus Studies (4 papers), Influenza Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Sexual Differentiation and Disorders (3 papers), Hepatitis C virus research (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Epidemiology (446 citations), Reproductive Medicine (101 citations), Hepatology (87 citations), Infectious Diseases (164 citations) and Immunology (158 citations). Ning Chai has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Paul Bates, Eduardo Salido, Pauline H. Yen, John M. Taylor, Lee R. Swem, Émmanuelle Nicolas, Ho Eun Chang, James L. Riley, Graham Simmons and Patrick J. Lupardus. Their work appears in journals such as Journal of Virology, Current Eye Research, PLoS ONE, Experimental Eye Research and Nature Protocols.
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.