Ai‐Ling Cheng
Impact in
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- Viral Infections and Immunology Research
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- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
Papers in
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- Viral Infections and Immunology Research 8
- Surgery 2
- Kawasaki Disease and Coronary Complications 2
- Co-authors
- Luan‐Yin Chang (12 shared papers)Li‐Min Huang (9 shared papers)Chun‐Yi Lu (8 shared papers)Pei‐Lan Shao (4 shared papers)Shu-Jen Yeh (2 shared papers)Chien-Chih Chang (2 shared papers)Ping‐Ing Lee (1 shared paper)Bor‐Luen Chiang (1 shared paper)
- Journals
- Journal of Microbiology Immunology and Infection (5 papers)Emerging infectious diseases (1 paper)Journal of Medical Virology (1 paper)Virology Journal (1 paper)PLoS ONE (1 paper)
- Partner nations
- TaiwanSouth Korea
In The Last Decade
Ai‐Ling Cheng
12 papers receiving 339 citations
Peers
Comparison fields: 5 of 40
- Cardiology and Cardiovascular Medicine 153
- Infectious Diseases 88
- Agronomy and Crop Science 49
- Surgery 163
- Obstetrics and Gynecology 21
Countries citing papers authored by Ai‐Ling Cheng
This map shows the geographic impact of Ai‐Ling Cheng'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 Ai‐Ling Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai‐Ling Cheng more than expected).
Fields of papers citing papers by Ai‐Ling Cheng
This network shows the impact of papers produced by Ai‐Ling Cheng. 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 Ai‐Ling Cheng. The network helps show where Ai‐Ling Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ai‐Ling Cheng, 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 | 2014 | 177 | |
| 2 | 2013 | 38 | |
| 3 | 2011 | 35 | |
| 4 | 2010 | 22 | |
| 5 | 2020 | 17 | |
| 6 | 2011 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2019 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 1 |
About Ai‐Ling Cheng
Ai‐Ling Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Epidemiology, Infectious Diseases and Economics and Econometrics, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Kawasaki Disease and Coronary Complications (2 papers), COVID-19 epidemiological studies (1 paper), Viral Infections and Vectors (1 paper), COVID-19 Pandemic Impacts (1 paper), Influenza Virus Research Studies (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (153 citations), Infectious Diseases (88 citations), Agronomy and Crop Science (49 citations), Surgery (163 citations) and Obstetrics and Gynecology (21 citations). Ai‐Ling Cheng has collaborated with scholars based in Taiwan and South Korea. Frequent co-authors include Luan‐Yin Chang, Li‐Min Huang, Chun‐Yi Lu, Pei‐Lan Shao, Shu-Jen Yeh, Chien-Chih Chang, Ping‐Ing Lee, Bor‐Luen Chiang, Ming‐Tai Lin and Mei‐Hwan Wu. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Emerging infectious diseases, Journal of Medical Virology, Virology Journal and PLoS ONE.
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.