Wwt Lam
Impact in
- Applied Psychology top 1%
- Oncology top 1%
- Cancer survivorship and care
- Global Cancer Incidence and Screening
Papers in
- Oncology 84
- Cancer survivorship and care 53
- Global Cancer Incidence and Screening 19
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- Patient-Provider Communication in Healthcare 35
- Co-authors
- Richard Fielding (88 shared papers)Qiuyan Liao (48 shared papers)Benjamin J. Cowling (24 shared papers)Miranda Chan (17 shared papers)Amy Or (18 shared papers)R Fielding (27 shared papers)GM Leung (18 shared papers)Ava Kwong (23 shared papers)
- Journals
- Psycho-Oncology (30 papers)PLoS ONE (8 papers)Journal of Clinical Oncology (5 papers)Vaccine (4 papers)Journal of Pain and Symptom Management (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Wwt Lam
211 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 183
- Applied Psychology 418
- Oncology 2.2k
- Modeling and Simulation 331
- Health 575
- General Health Professions 1.3k
Countries citing papers authored by Wwt Lam
This map shows the geographic impact of Wwt 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 Wwt Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wwt Lam more than expected).
Fields of papers citing papers by Wwt Lam
This network shows the impact of papers produced by Wwt 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 Wwt Lam. The network helps show where Wwt Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Wwt 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 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 301 | |
| 2 | 2008 | 300 | |
| 3 | 2010 | 220 | |
| 4 | 2009 | 174 | |
| 5 | 2011 | 168 | |
| 6 | 2014 | 160 | |
| 7 | 2020 | 147 | |
| 8 | 2010 | 138 | |
| 9 | 2020 | 128 | |
| 10 | 2011 | 126 | |
| 11 | 2002 | 118 | |
| 12 | 2010 | 109 | |
| 13 | 2012 | 97 | |
| 14 | 2013 | 93 | |
| 15 | 2005 | 86 | |
| 16 | 1997 | 85 | |
| 17 | 2007 | 78 | |
| 18 | 2012 | 78 | |
| 19 | 2013 | 78 | |
| 20 | 2003 | 77 |
About Wwt Lam
Wwt Lam is a scholar working on Oncology, General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health and Sociology and Political Science, having authored 223 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cancer survivorship and care (53 papers), Patient-Provider Communication in Healthcare (35 papers), Vaccine Coverage and Hesitancy (27 papers), Influenza Virus Research Studies (25 papers), Childhood Cancer Survivors' Quality of Life (25 papers), Family Support in Illness (22 papers), Palliative Care and End-of-Life Issues (21 papers) and Global Cancer Incidence and Screening (19 papers). The work is most often cited by research in Applied Psychology (418 citations), Oncology (2.2k citations), Modeling and Simulation (331 citations), Health (575 citations) and General Health Professions (1.3k citations). Wwt Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Richard Fielding, Qiuyan Liao, Benjamin J. Cowling, Miranda Chan, Amy Or, R Fielding, GM Leung, Ava Kwong, Dacita Suen and Diane Ng. Their work appears in journals such as Psycho-Oncology, PLoS ONE, Journal of Clinical Oncology, Vaccine and Journal of Pain and Symptom Management.
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.