Bryan Lau

10.2k citations
131 papers · 4.0k · 1 hit paper · h-index 33

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

Bryan Lau

125 papers receiving 3.9k citations

Bryan Lau's Hit Papers

Selection Bias Due to Loss to Follow Up in Cohort Studies 2015 · 299 citations
2990+3+7Years since publication50100150200250

Peers

Bryan Lau
Comparison fields: 5 of 157
  • Virology 772
  • Infectious Diseases 1.9k
  • Emergency Medicine 953
  • Epidemiology 1.6k
  • Hepatology 304
Replace David E. Shapiro with:
David E. Shapiro United States
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Ronald B. Geskus Netherlands
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Holly Janes United States
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Bryan Lau relative to David E. Shapiro United States David E. Shapiro's profile →
Citations per field
00.5×
David E. Shapiro · 1×
Citations per year

Countries citing papers authored by Bryan Lau

Since Specialization
Citations

This map shows the geographic impact of Bryan 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 Bryan Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Lau more than expected).

Fields of papers citing papers by Bryan Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan 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 Bryan Lau. The network helps show where Bryan Lau may publish in the future.

Co-authors

The 25 scholars most cited alongside Bryan Lau, 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 Bryan Lau Line = papers co-authored together Bryan Lau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Selection Bias Due to Loss to Follow Up in Cohort Studies
Hit paper breakdown →
2015299
2 2006259
3 2008198
4 2014174
5 2006168
6 2008166
7 2010148
8 2000135
9 201099
10 201296
11 201093
12 200693
13 202085
14 201884
15 201683
16 201570
17 201463
18 201062
19 201155
20 200748

About Bryan Lau

Bryan Lau is a scholar working on Infectious Diseases, Epidemiology, Virology, Emergency Medicine and Statistics and Probability, having authored 131 papers that have together received 4.0k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (71 papers), HIV, Drug Use, Sexual Risk (41 papers), HIV Research and Treatment (32 papers), HIV-related health complications and treatments (31 papers), Advanced Causal Inference Techniques (17 papers), HIV/AIDS drug development and treatment (16 papers), Viral-associated cancers and disorders (10 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Virology (772 citations), Infectious Diseases (1.9k citations), Emergency Medicine (953 citations), Epidemiology (1.6k citations) and Hepatology (304 citations). Bryan Lau has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Richard D. Moore, Geetanjali Chander, Stephen J. Gange, Catherine R. Lesko, Stephen R. Cole, Sonia Napravnik, Joseph J. Eron, Shruti H. Mehta, Chanelle J. Howe and Heidi E. Hutton. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS, AIDS and Behavior, Drug and Alcohol Dependence and American Journal of Epidemiology.

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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