J. Lau

9.9k citations
35 papers · 7.5k indexed · 1 hit paper · h-index 24

Impact in

Papers in

J. Lau

33 papers receiving 7.3k citations

Hit Papers

Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials 2011 · 5.5k citations
5.5k201120262016202110002.0k3.0k4.0k5.0k

Peers

J. Lau
Comparison fields: 5 of 195
  • Obstetrics and Gynecology 444
  • Statistics, Probability and Uncertainty 391
  • Otorhinolaryngology 192
  • Gastroenterology 203
  • Psychiatry and Mental health 533
Replace Εvangelos Εvangelou with:
Εvangelos Εvangelou Greece
Norma Terrin United States
Mark Helfand United States
Giovanni Apolone Italy
Chris Cameron Canada
Jeroen P. Jansen United States
Rongwei Fu United States
Joanna IntHout Netherlands
Yu‐Kang Tu Taiwan
Joel Singer Canada
J. Lau relative to Εvangelos Εvangelou Greece Εvangelos Εvangelou's profile →
Citations per field
00.5×1.5×2.4×
Εvangelos Εvangelou · 1×
Citations per year

Countries citing papers authored by J. Lau

Since Specialization
Citations

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

Fields of papers citing papers by J. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials
Hit paper breakdown →
20115544
3 200949
4 2007369
5 200729
6 200631
7 2006123
8 200541
9 200334
10 2002293
11
Management of clinically inapparent adrenal mass.
200218
12 200241
13 200128
14 199876
15 199886
16 199854
17 199738
18 199747
19 1997159
20 19901

About J. Lau

J. Lau is a scholar working on Otorhinolaryngology, Statistics, Probability and Uncertainty, Nephrology, Microbiology and Virology, having authored 35 papers that have together received 7.5k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Pneumonia and Respiratory Infections (4 papers), Sinusitis and nasal conditions (4 papers), Statistical Methods in Clinical Trials (3 papers), Dialysis and Renal Disease Management (3 papers), Child Nutrition and Feeding Issues (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (444 citations), Statistics, Probability and Uncertainty (391 citations), Otorhinolaryngology (192 citations), Gastroenterology (203 citations) and Psychiatry and Mental health (533 citations). J. Lau has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Christopher H. Schmid, John P. A. Ioannidis, Norma Terrin, Jonathan A C Sterne, Alex J. Sutton, Petra Macaskill, Jonathan J Deeks, David R. Jones, Sue Duval and Jennifer Tetzlaff. Their work appears in journals such as American Journal of Epidemiology, Cochrane Database of Systematic Reviews, Kidney International, Obesity Reviews and Clinical Infectious Diseases.

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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