Man Yu Wong

494 total citations
23 papers, 370 citations indexed

About

Man Yu Wong is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Man Yu Wong has authored 23 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Man Yu Wong's work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (5 papers). Man Yu Wong is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Statistical Methods and Inference (6 papers) and Statistical Methods in Clinical Trials (5 papers). Man Yu Wong collaborates with scholars based in Hong Kong, United Kingdom and China. Man Yu Wong's co-authors include Nicholas Day, N J Wareham, Gary Wong, Shiu Keung Tang, Christopher Wai Kei Lam, Nicholas J. Wareham, T. F. Fok, Jian’an Luan, P.C. Ng and David R. Cox and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biometrika and Statistics in Medicine.

In The Last Decade

Man Yu Wong

22 papers receiving 354 citations

Peers

Man Yu Wong
Comparison fields: 5 of 87
  • Pulmonary and Respiratory Medicine 95
  • Pediatrics, Perinatology and Child Health 79
  • Public Health, Environmental and Occupational Health 72
  • Physiology 47
  • Molecular Biology 46
Replace Katarina L. Matthes with:
Katarina L. Matthes Switzerland
Stanley Sciortino United States
Zahra Montazeri Canada
V. Rastogi India
J A Weatherall United Kingdom
Gareth Leung Canada
R Cartier France
Francesca Mattei Italy
Shun Li China
Ranjan Suri United Kingdom
Katarina L. Matthes Switzerland View profile →
Citations per field, relative to Man Yu Wong
Man Yu Wong · 1×
Citations per year, relative to Man Yu Wong
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Countries citing papers authored by Man Yu Wong

Since Specialization
Citations

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

Fields of papers citing papers by Man Yu Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man Yu Wong. 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 Man Yu Wong. The network helps show where Man Yu Wong may publish in the future.

Co-authorship network of co-authors of Man Yu Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Man Yu Wong. A scholar is included among the top collaborators of Man Yu Wong 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 Man Yu Wong. Man Yu Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 5
4 4
5 17
6 5
7 4
8 2
9 48
10 16
11 15
12
Validation studies in epidemiology: the relative precision of different designs.
5
13 68
14 33
15 37
16 55
17 2
18 1
19 10
20 9

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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