Maureen Mo-Lin Wong

933 citations
10 papers · 650 indexed · h-index 7
Topics
Pleural and Pulmonary Diseases (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)COVID-19 Clinical Research Studies (2 papers)

In The Last Decade

Maureen Mo-Lin Wong

10 papers receiving 632 citations

Peers

Maureen Mo-Lin Wong
Comparison fields: 5 of 85
  • Infectious Diseases 544
  • Neurology 135
  • Epidemiology 92
  • Pulmonary and Respiratory Medicine 73
  • Modeling and Simulation 56
Replace S. T. Lai with:
S. T. Lai China
Kin‐Wing Choi Hong Kong
Lu Wen China
Zhiyi Lan Canada
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Y.O.Y. Soo Hong Kong
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Maureen Mo-Lin Wong relative to S. T. Lai China S. T. Lai's profile →
Citations per field
00.5×2.5×
S. T. Lai · 1×
Citations per year

Countries citing papers authored by Maureen Mo-Lin Wong

Since Specialization
Citations

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

Fields of papers citing papers by Maureen Mo-Lin Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maureen Mo-Lin 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 Maureen Mo-Lin Wong. The network helps show where Maureen Mo-Lin Wong may publish in the future.

Co-authorship network of co-authors of Maureen Mo-Lin Wong

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 4
3 9
4
Management and prevention of spontaneous pneumothorax using pleurodesis in Hong Kong.
2
5
Minocycline and talc slurry pleurodesis for patients with secondary spontaneous pneumothorax.
12
6
Management of patients admitted with pneumothorax: a multi-centre study of the practice and outcomes in Hong Kong.
10
7 84
8 195
9
Treatment of severe acute respiratory syndrome with lopinavir/ritonavir: a multicentre retrospective matched cohort study.
325
10
Hip pain and childhood malignancy.
8

About Maureen Mo-Lin Wong

Maureen Mo-Lin Wong is a scholar working on Geriatrics and Gerontology, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 10 papers that have together received 650 indexed citations. Recurring topics across this work include Pleural and Pulmonary Diseases (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (544 citations), Modeling and Simulation (56 citations) and Neurology (135 citations). Maureen Mo-Lin Wong has collaborated with scholars based in China, Hong Kong and New Zealand. Frequent co-authors include Kwok‐Yung Yuen, Malik Peiris, Chung‐Ming Chu, KH Chan, Joseph J.�Y. Sung, Carolyn Tam, Eva L. H. Tsui, S. T. Lai, Vivian Wong and Tak Lun Que. Their work appears in journals such as Clinical Infectious Diseases, Emerging infectious diseases and BMJ Open.

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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