Mable Chan

526 citations
13 papers · 122 · h-index 7

Impact in

    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • Virology and Viral Diseases
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Viral Infections and Outbreaks Research 5
    • Viral gastroenteritis research and epidemiology 3
    • Viral Infections and Vectors 3
    • SARS-CoV-2 and COVID-19 Research 2
    • Influenza Virus Research Studies 4
    • Hepatitis B Virus Studies 2
    • Respiratory viral infections research 2

Mable Chan

13 papers receiving 119 citations

Peers

Mable Chan
Comparison fields: 5 of 42
  • Infectious Diseases 67
  • Epidemiology 44
  • Agronomy and Crop Science 11
  • Modeling and Simulation 4
  • Pharmacology 7
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Ding Zhang United States
Zhiguang Xiang China
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Renate A.A.A. Ruigrok Netherlands
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Mable Chan relative to Daniel Mair United Kingdom Daniel Mair's profile →
Citations per field
00.5×3.5×
Daniel Mair · 1×
Citations per year

Countries citing papers authored by Mable Chan

Since Specialization
Citations

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

Fields of papers citing papers by Mable Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202123
2 201919
3 201914
4 202414
5 202113
6 20208
7 20237
8 20165
9 20235
10 20185
11 20224
12 20233
13 20162

About Mable Chan

Mable Chan is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Virology, having authored 13 papers that have together received 122 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (5 papers), Influenza Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Vectors (3 papers), Hepatitis B Virus Studies (2 papers), Respiratory viral infections research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Infectious Diseases (67 citations), Epidemiology (44 citations), Agronomy and Crop Science (11 citations), Modeling and Simulation (4 citations) and Pharmacology (7 citations). Mable Chan has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Darwyn Kobasa, Anders Leung, Jonathan Audet, Bryan D. Griffin, Kevin Tierney, David Safronetz, Robert Vendramelli, Zhujun Ao, Xiaojian Yao and Maggie Jing Ouyang. Their work appears in journals such as Viruses, Journal of Virology, PLoS ONE, Scientific Reports and The Journal of 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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