Wai Hung Chan

939 citations
11 papers · 373 indexed · 1 hit paper · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 Clinical Research Studies (5 papers)SARS-CoV-2 detection and testing (3 papers)
Partner nations
Hong KongChinaJapan

In The Last Decade

Wai Hung Chan

9 papers receiving 368 citations

Hit Papers

Neutralizing antibody titres in SARS-CoV-2 infections2021202620222024202150100150200

Peers

Wai Hung Chan
Comparison fields: 5 of 49
  • Infectious Diseases 328
  • Neurology 50
  • Modeling and Simulation 37
  • Health 35
  • Animal Science and Zoology 35
Replace Stéphane Marot with:
Stéphane Marot France
Carl A. Pierce United States
Constant Gillot Belgium
Yannick Galipeau Canada
Christina Capuano United States
Haode Huang Hong Kong
Disha Bhavsar United States
Christine Eucher Belgium
Biliana Nestorova United States
Sandra Hauka Germany
Wai Hung Chan relative to Stéphane Marot France Stéphane Marot's profile →
Citations per field
00.5×1.5×
Stéphane Marot · 1×
Citations per year

Countries citing papers authored by Wai Hung Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wai Hung Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Hung Chan. 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 Wai Hung Chan. The network helps show where Wai Hung Chan may publish in the future.

Co-authorship network of co-authors of Wai Hung Chan

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 6
3 17
4 44
5
Neutralizing antibody titres in SARS-CoV-2 infectionsbreakdown →
209
6 76
7 1
8 9
9 0
10 8
11 3

About Wai Hung Chan

Wai Hung Chan is a scholar working on Infectious Diseases, Immunology and Allergy and Dermatology, having authored 11 papers that have together received 373 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Infectious Diseases (328 citations), Modeling and Simulation (37 citations) and Obstetrics and Gynecology (33 citations). Wai Hung Chan has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Susan S. Chiu, Malik Peiris, Leo L. M. Poon, Eric H. Y. Lau, David S.C. Hui, Owen TY Tsang, Samuel M. S. Cheng, Mike Yat Wah Kwan, Ronald LW Ko and Ranawaka A. P. M. Perera. Their work appears in journals such as Nature Communications, Vaccine and The Journal of Allergy and Clinical Immunology In Practice.

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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