Wah Kit Lam
- Pulmonary and Respiratory Medicine top 2%
- Physiology top 2%
- Infectious Diseases top 2%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Topics
- Cystic Fibrosis Research Advances (7 papers)Lung Cancer Treatments and Mutations (7 papers)Neonatal Respiratory Health Research (7 papers)
- Journals
- New England Journal of MedicineThe LancetAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Wah Kit Lam
47 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Pulmonary and Respiratory Medicine 1.2k
- Physiology 1.2k
- Infectious Diseases 796
- Endocrine and Autonomic Systems 746
- Molecular Biology 534
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-authorship network of co-authors of Wah Kit Lam
This figure shows the co-authorship network connecting the top 25 collaborators of Wah Kit Lam. A scholar is included among the top collaborators of Wah Kit Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wah Kit Lam. Wah Kit Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 18 | |
| 3 | 43 | |
| 4 | Mutational status of epidermal growth factor receptor is the only predictor of clinical response to gefitinib treatment in non-small cell lung cancer | 1 |
| 5 | Respiratory Medicine: An Asian Perspective | 5 |
| 6 | 11 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | 61 | |
| 10 | 160 | |
| 11 | 31 | |
| 12 | 19 | |
| 13 | 11 | |
| 14 | Obstructive Sleep Apnea Is Independently Associated with Insulin Resistancebreakdown → | 965 |
| 15 | 93 | |
| 16 | 6 | |
| 17 | 29 | |
| 18 | 14 | |
| 19 | 26 | |
| 20 | 10 |
About Wah Kit Lam
Wah Kit Lam is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Endocrine and Autonomic Systems, having authored 47 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Neonatal Respiratory Health Research (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (746 citations), Physiology (1.2k citations) and Infectious Diseases (796 citations). Wah Kit Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Msm Ip, Bing Lam, Kenneth W. Tsang, Matthew Ng, Karen S.L. Lam, G.C. Ooi, Moira Chan‐Yeung, Jcm Ho, Pak‐Leung Ho and Poon Chuen Wong. Their work appears in journals such as New England Journal of Medicine, The Lancet and American Journal of Respiratory and Critical Care Medicine.
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.