Wwt Lam

8.3k citations
221 papers · 6.0k · h-index 41

Impact in

Papers in

    • Cancer survivorship and care 50
    • Global Cancer Incidence and Screening 11
    • Influenza Virus Research Studies 14
    • Cervical Cancer and HPV Research 11

Wwt Lam

211 papers receiving 5.8k citations

Peers

Wwt Lam
Comparison fields: 5 of 178
  • Oncology 1.7k
  • Applied Psychology 230
  • Health 347
  • Modeling and Simulation 178
  • Clinical Psychology 591
Replace Ian Olver with:
Ian Olver Australia
Richard Fielding Hong Kong
Howard K. Koh United States
Victoria L. Champion United States
H. Irene Hall United States
Mira L. Katz United States
Michael A. Diefenbach United States
Jennifer L. Hay United States
Alan C. Geller United States
Somnath Saha United States
Wwt Lam relative to Ian Olver Australia Ian Olver's profile →
Citations per field
00.5×8.5×
Ian Olver · 1×
Citations per year

Countries citing papers authored by Wwt Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wwt Lam Line = papers co-authored together Wwt Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013305
2 2008302
3 2010219
4 2009176
5 2011168
6 2014161
7 2020156
8 2020133
9 2011127
10 2002120
11 2010109
12 201299
13 201395
14 200587
15 199785
16 201279
17 201279
18 201378
19 200378
20 200778

About Wwt Lam

Wwt Lam is a scholar working on Oncology, Epidemiology, General Health Professions, Health and Public Health, Environmental and Occupational Health, having authored 221 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cancer survivorship and care (50 papers), Vaccine Coverage and Hesitancy (18 papers), Patient-Provider Communication in Healthcare (16 papers), Influenza Virus Research Studies (14 papers), Cervical Cancer and HPV Research (11 papers), Global Cancer Incidence and Screening (11 papers), Family Support in Illness (8 papers) and Animal Disease Management and Epidemiology (7 papers). The work is most often cited by research in Oncology (1.7k citations), Applied Psychology (230 citations), Health (347 citations), Modeling and Simulation (178 citations) and Clinical Psychology (591 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, Supportive Care in Cancer and Vaccine.

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.

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