Wai‐Yip Lam
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Hepatitis B Virus Studies
- Pneumonia and Respiratory Infections
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- Climate Change and Health Impacts
Papers in
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- Influenza Virus Research Studies 5
- Hepatitis B Virus Studies 2
- Respiratory viral infections research 2
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- Clostridium difficile and Clostridium perfringens research 1
- Tuberculosis Research and Epidemiology 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 Wei-Tze Tang (2 shared papers)Hing Yim Mok (1 shared paper)Margaret Ip (2 shared papers)Mamie Hui (1 shared paper)
In The Last Decade
Wai‐Yip Lam
15 papers receiving 621 citations
Peers
Comparison fields: 5 of 74
- Epidemiology 385
- Health, Toxicology and Mutagenesis 44
- Clinical Biochemistry 13
- Hepatology 22
- Cancer Research 27
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 | 2010 | 112 | |
| 2 | 2009 | 110 | |
| 3 | 2007 | 108 | |
| 4 | 2008 | 55 | |
| 5 | 2007 | 52 | |
| 6 | 2013 | 49 | |
| 7 | 2011 | 43 | |
| 8 | 2005 | 37 | |
| 9 | 1995 | 36 | |
| 10 | 2010 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 1996 | 12 | |
| 13 | 2014 | 9 | |
| 14 | 1992 | 3 | |
| 15 | Avian influenza A H5N1 infection on human cellular microRNA profile: identification of gene regulatory pathway. | 2014 | 2 |
| 16 | Metagenomics of tuberculosis infection in Hong Kong. | 2016 | 2 |
About Wai‐Yip Lam
Wai‐Yip Lam is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Pharmacology and Cancer Research, having authored 16 papers that have together received 657 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Hepatitis B Virus Studies (2 papers), Respiratory viral infections research (2 papers), RNA and protein synthesis mechanisms (1 paper), Polyomavirus and related diseases (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper), Phytochemistry and Bioactivity Studies (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Epidemiology (385 citations), Health, Toxicology and Mutagenesis (44 citations), Clinical Biochemistry (13 citations), Hepatology (22 citations) and Cancer Research (27 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 Wei-Tze Tang, Hing Yim Mok, Margaret Ip, Mamie Hui, Edward Wai‐Chi Chan and Stephen Kwok‐Wing Tsui. Their work appears in journals such as Journal of Clinical Virology, Journal of Medical Virology, BMC Microbiology, FEBS Letters and Genomics.
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.