May Ling Wong

589 citations
8 papers · 475 · h-index 7

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment
    • Infective Endocarditis Diagnosis and Management
    • Congenital Heart Disease Studies

Papers in

    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 3
    • Congenital Heart Disease Studies 2
    • Hepatitis C virus research 4

May Ling Wong

8 papers receiving 456 citations

Peers

May Ling Wong
Comparison fields: 5 of 34
  • Hepatology 289
  • Epidemiology 427
  • Cardiology and Cardiovascular Medicine 104
  • Surgery 120
  • Pulmonary and Respiratory Medicine 61
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Citations per field
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Citations per year

Countries citing papers authored by May Ling Wong

Since Specialization
Citations

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

Fields of papers citing papers by May Ling Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2000161
2 2003119
3 199283
4 199547
5 199925
6 200320
7 199619
8 20011

About May Ling Wong

May Ling Wong is a scholar working on Epidemiology, Hepatology, Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 475 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Congenital Heart Disease Studies (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Pulmonary Hypertension Research and Treatments (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Hepatology (289 citations), Epidemiology (427 citations), Cardiology and Cardiovascular Medicine (104 citations), Surgery (120 citations) and Pulmonary and Respiratory Medicine (61 citations). May Ling Wong has collaborated with scholars based in Singapore, Hong Kong and Australia. Frequent co-authors include Henry Lik‐Yuen Chan, Nancy Leung, Munira Hussain, Anna S. Lok, Alex Hui, Joseph J.�Y. Sung, Francis K.L. Chan, Cleonice de Carvalho Coelho Mota, Jeffrey F. Smallhorn and Brian W. McCrindle. Their work appears in journals such as Journal of Clinical Microbiology, Journal of the American College of Cardiology, Journal of Thoracic and Cardiovascular Surgery, The American Journal of Cardiology and Gastroenterology.

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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