Wai Lam Lau
- Pediatrics, Perinatology and Child Health
- Obstetrics and Gynecology top 10%
- Epidemiology
- Hepatology
- Rheumatology
- Co-authors
- Wing Cheong LeungWai Kuen YungMimi Tin Yan SetoDaniel WongKa Wang CheungErnest Hung Yu NgAnita Sik Yau KanChin Peng Lee
- Topics
- Maternal and Perinatal Health Interventions (9 papers)Maternal and fetal healthcare (6 papers)Assisted Reproductive Technology and Twin Pregnancy (5 papers)
- Journals
- American Journal of Obstetrics and GynecologyClinical Gastroenterology and HepatologyInternational Journal of Gynecology & Obstetrics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wai Lam Lau
15 papers receiving 156 citations
Peers
Comparison fields: 5 of 29
- Pediatrics, Perinatology and Child Health 76
- Obstetrics and Gynecology 73
- Epidemiology 57
- Hepatology 49
- Rheumatology 25
Countries citing papers authored by Wai Lam Lau
This map shows the geographic impact of Wai Lam Lau'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 Lam Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Lam Lau more than expected).
Fields of papers citing papers by Wai Lam Lau
This network shows the impact of papers produced by Wai Lam Lau. 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 Lam Lau. The network helps show where Wai Lam Lau may publish in the future.
Co-authorship network of co-authors of Wai Lam Lau
This figure shows the co-authorship network connecting the top 25 collaborators of Wai Lam Lau. A scholar is included among the top collaborators of Wai Lam Lau 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 Wai Lam Lau. Wai Lam Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 38 | |
| 13 | 10 | |
| 14 | 32 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 25 | |
| 18 | 0 | |
| 19 | 11 |
About Wai Lam Lau
Wai Lam Lau is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Hepatology, having authored 19 papers that have together received 156 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (9 papers), Maternal and fetal healthcare (6 papers) and Assisted Reproductive Technology and Twin Pregnancy (5 papers). The work is most often cited by research in Obstetrics and Gynecology (73 citations), Hepatology (49 citations) and Pediatrics, Perinatology and Child Health (76 citations). Wai Lam Lau has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wing Cheong Leung, Wai Kuen Yung, Mimi Tin Yan Seto, Daniel Wong, Ka Wang Cheung, Ernest Hung Yu Ng, Anita Sik Yau Kan, Chin Peng Lee, Gerald B. Appel and Robert Chin. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Clinical Gastroenterology and Hepatology and International Journal of Gynecology & Obstetrics.
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.