Wah-kit Lam
Impact in
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- Neuroscience of respiration and sleep
- Physiology top 2%
- Obstructive Sleep Apnea Research
Papers in
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- Cystic Fibrosis Research Advances 3
- Lung Cancer Treatments and Mutations 3
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- Tuberculosis Research and Epidemiology 2
- Co-authors
- Msm Ip (13 shared papers)BING K. LAM (8 shared papers)KENNETH W. T. TSANG (7 shared papers)Hung‐Fat Tse (1 shared paper)Ian James Lauder (3 shared papers)Peter C. W. Fung (1 shared paper)Ling Zheng (1 shared paper)Ka‐Fai Chung (1 shared paper)
- Journals
- American Journal of Respiratory and Critical Care Medicine (4 papers)CHEST Journal (4 papers)Lung Cancer (2 papers)Journal of Thoracic Oncology (2 papers)Journal of the American Geriatrics Society (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Wah-kit Lam
24 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 85
- Endocrine and Autonomic Systems 575
- Physiology 1.2k
- Pulmonary and Respiratory Medicine 729
- Microbiology 15
- Cognitive Neuroscience 130
Countries citing papers authored by Wah-kit Lam
This map shows the geographic impact of Wah-kit 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 Wah-kit Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wah-kit Lam more than expected).
Fields of papers citing papers by Wah-kit Lam
This network shows the impact of papers produced by Wah-kit 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 Wah-kit Lam. The network helps show where Wah-kit Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Wah-kit 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 508 | |
| 2 | 2000 | 396 | |
| 3 | 2001 | 354 | |
| 4 | 1998 | 116 | |
| 5 | 2000 | 107 | |
| 6 | 2003 | 79 | |
| 7 | 1998 | 73 | |
| 8 | 2003 | 65 | |
| 9 | 1985 | 52 | |
| 10 | 2012 | 42 | |
| 11 | 1997 | 30 | |
| 12 | 2008 | 29 | |
| 13 | 2006 | 24 | |
| 14 | 2000 | 23 | |
| 15 | 1989 | 22 | |
| 16 | 2000 | 21 | |
| 17 | 2006 | 18 | |
| 18 | 1996 | 10 | |
| 19 | 2013 | 7 | |
| 20 | 1984 | 5 |
About Wah-kit Lam
Wah-kit Lam is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Physiology, Genetics and Surgery, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (4 papers), Cystic Fibrosis Research Advances (3 papers), Lung Cancer Treatments and Mutations (3 papers), Tuberculosis Research and Epidemiology (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Fungal Infections and Studies (1 paper), Actinomycetales infections and treatment (1 paper) and Congenital Diaphragmatic Hernia Studies (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (575 citations), Physiology (1.2k citations), Pulmonary and Respiratory Medicine (729 citations), Microbiology (15 citations) and Cognitive Neuroscience (130 citations). Wah-kit Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Msm Ip, BING K. LAM, KENNETH W. T. TSANG, Hung‐Fat Tse, Ian James Lauder, Peter C. W. Fung, Ling Zheng, Ka‐Fai Chung, Kenneth W.T. Tsang and Pak‐Leung Ho. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal, Lung Cancer, Journal of Thoracic Oncology and Journal of the American Geriatrics Society.
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.