Wai‐Yip Lam
Impact in
- Epidemiology top 10%
- Respiratory viral infections research
- Influenza Virus Research Studies
- Pneumonia and Respiratory Infections
- Hepatitis B Virus Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 10
- Influenza Virus Research Studies 4
- Pneumonia and Respiratory Infections 3
- Respiratory viral infections research 2
- Hepatitis B Virus Studies 1
- 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)Stephen Kwok‐Wing Tsui (6 shared papers)
In The Last Decade
Wai‐Yip Lam
20 papers receiving 634 citations
Peers
Comparison fields: 5 of 85
- Epidemiology 353
- Infectious Diseases 118
- Modeling and Simulation 29
- Hepatology 30
- Immunology 72
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 | 108 | |
| 2 | 2007 | 107 | |
| 3 | 2010 | 105 | |
| 4 | 2008 | 53 | |
| 5 | 2007 | 52 | |
| 6 | 2013 | 48 | |
| 7 | 2011 | 43 | |
| 8 | 1995 | 38 | |
| 9 | 2005 | 36 | |
| 10 | 2010 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 1996 | 12 | |
| 13 | 2013 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 1975 | 5 | |
| 16 | 1992 | 3 | |
| 17 | Avian influenza A H5N1 infection on human cellular microRNA profile: identification of gene regulatory pathway. | 2014 | 2 |
| 18 | Metagenomics of tuberculosis infection in Hong Kong. | 2016 | 2 |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Wai‐Yip Lam
Wai‐Yip Lam is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 20 papers that have together received 658 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Pneumonia and Respiratory Infections (3 papers), MicroRNA in disease regulation (3 papers), Molecular Biology Techniques and Applications (2 papers), Respiratory viral infections research (2 papers), Viral Infections and Immunology Research (2 papers), RNA regulation and disease (2 papers) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Epidemiology (353 citations), Infectious Diseases (118 citations), Modeling and Simulation (29 citations), Hepatology (30 citations) and Immunology (72 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, Stephen Kwok‐Wing Tsui, Edward Wai‐Chi Chan and Mamie Hui. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Virology, Journal of Clinical Virology, Antiviral Therapy and FEBS Letters.
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.