Ning Chai

1.3k citations
42 papers · 991 · h-index 16

Impact in

  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Hepatitis B Virus Studies
    • Sperm and Testicular Function

Papers in

Ning Chai

37 papers receiving 967 citations

Peers

Ning Chai
Comparison fields: 5 of 103
  • Epidemiology 452
  • Reproductive Medicine 106
  • Hepatology 97
  • Infectious Diseases 172
  • Immunology 171
Replace Laure K. Case with:
Laure K. Case United States
Hillary D. White United States
Yumi Yamaguchi‐Kabata Japan
Stéphanie Beaucourt France
Kendall Krebs United States
Suzanne M. Scheaffer United States
William Walker United Kingdom
Martin Plante Canada
Cécile E. Malnou France
Ning Chai relative to Laure K. Case United States Laure K. Case's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ning Chai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ning Chai Line = papers co-authored together Ning Chai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013135
2 200392
3 200686
4 200882
5 201673
6 199767
7 199767
8 202060
9 201749
10 201435
11 201435
12 201532
13 200824
14 201419
15 200719
16 201617
17 199614
18 201713
19 20099
20 20079

About Ning Chai

Ning Chai is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 42 papers that have together received 991 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (13 papers), Corneal surgery and disorders (9 papers), Ocular Surface and Contact Lens (6 papers), Hepatitis B Virus Studies (4 papers), Influenza Virus Research Studies (4 papers), Sexual Differentiation and Disorders (3 papers), Respiratory viral infections research (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Epidemiology (452 citations), Reproductive Medicine (106 citations), Hepatology (97 citations), Infectious Diseases (172 citations) and Immunology (171 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, Min Xu, Patrick J. Lupardus and Summer Park. Their work appears in journals such as Journal of Virology, Current Eye Research, PLoS ONE, Experimental Eye Research and Nature Communications.

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.

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