Wai‐Yip Lam
Impact in
- Epidemiology top 10%
- Respiratory viral infections research
- Influenza Virus Research Studies
- Pneumonia and Respiratory Infections
- Hepatitis B Virus Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in ⓘ
- Epidemiology 10
- Influenza Virus Research Studies 4
- Pneumonia and Respiratory Infections 4
- Respiratory viral infections research 4
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- Molecular Biology Techniques and Applications 2
- RNA regulation and disease 2
- Co-authors
- Paul K.S. Chan (10 shared papers)Apple C. M. Yeung (5 shared papers)Joseph J.�Y. Sung (2 shared papers)Ida Miu‐Ting Chu (2 shared papers)Julian W. Tang (2 shared papers)Hing Yim Mok (1 shared paper)Margaret Ip (2 shared papers)Edward Wai‐Chi Chan (1 shared paper)
In The Last Decade
Wai‐Yip Lam
20 papers receiving 616 citations
Peers
Comparison fields: 5 of 89
- Epidemiology 376
- Modeling and Simulation 48
- Infectious Diseases 156
- Hepatology 44
- Immunology 90
Countries citing papers authored by Wai‐Yip Lam
This map shows the geographic impact of Wai‐Yip Lam'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 Wai‐Yip Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai‐Yip Lam more than expected).
Fields of papers citing papers by Wai‐Yip Lam
This network shows the impact of papers produced by Wai‐Yip Lam. 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 Wai‐Yip Lam. The network helps show where Wai‐Yip Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Wai‐Yip Lam, 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 | 2009 | 104 | |
| 2 | 2007 | 102 | |
| 3 | 2010 | 101 | |
| 4 | 2007 | 51 | |
| 5 | 2013 | 48 | |
| 6 | 2008 | 47 | |
| 7 | 2011 | 43 | |
| 8 | 1995 | 37 | |
| 9 | 2005 | 35 | |
| 10 | 2010 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 1996 | 12 | |
| 13 | 2014 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 1992 | 3 | |
| 16 | 1975 | 3 | |
| 17 | Metagenomics of tuberculosis infection in Hong Kong. | 2016 | 2 |
| 18 | Avian influenza A H5N1 infection on human cellular microRNA profile: identification of gene regulatory pathway. | 2014 | 2 |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Wai‐Yip Lam
Wai‐Yip Lam is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 632 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Pneumonia and Respiratory Infections (4 papers), Respiratory viral infections research (4 papers), MicroRNA in disease regulation (3 papers), Viral Infections and Immunology Research (3 papers), Molecular Biology Techniques and Applications (2 papers), RNA regulation and disease (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Epidemiology (376 citations), Modeling and Simulation (48 citations), Infectious Diseases (156 citations), Hepatology (44 citations) and Immunology (90 citations). Wai‐Yip Lam has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Paul K.S. Chan, Apple C. M. Yeung, Joseph J.�Y. Sung, Ida Miu‐Ting Chu, Julian W. Tang, Hing Yim Mok, Margaret Ip, Edward Wai‐Chi Chan, Mamie Hui and Stephen Kwok‐Wing Tsui. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Virology, Journal of Clinical Virology, Journal of Cellular Biochemistry and Written Language & Literacy.
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.