Wan‐Man Wong

1.0k citations
9 papers · 660 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
  • Immunology top 10%
    • interferon and immune responses

Papers in

    • Viral gastroenteritis research and epidemiology 4
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 2
    • Phagocytosis and Immune Regulation 2
    • interferon and immune responses 1
    • T-cell and Retrovirus Studies 1

Wan‐Man Wong

9 papers receiving 653 citations

Peers

Wan‐Man Wong
Comparison fields: 5 of 70
  • Infectious Diseases 486
  • Immunology 199
  • Animal Science and Zoology 82
  • Neurology 70
  • Cardiology and Cardiovascular Medicine 68
Replace Patricio Doldan with:
Patricio Doldan Germany
Francisco J. Gutierrez-Alvarez Spain
Bridget S. Banach United States
Ruiyi Ma China
Yaara Finkel Israel
Mathieu Hubert France
Zhenghui Wu China
Jenna N. Kelly Switzerland
Lin‐Lei Chen Hong Kong
Kathrin Welsch Germany
Wan‐Man Wong relative to Patricio Doldan Germany Patricio Doldan's profile →
Citations per field
00.5×
Patricio Doldan · 1×
Citations per year

Countries citing papers authored by Wan‐Man Wong

Since Specialization
Citations

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

Fields of papers citing papers by Wan‐Man Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2020382
2 202170
3 202047
4 202041
5 202041
6 201836
7 201631
8 202310
9 20232

About Wan‐Man Wong

Wan‐Man Wong is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 660 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Phagocytosis and Immune Regulation (2 papers), Animal Virus Infections Studies (2 papers), interferon and immune responses (1 paper), RNA and protein synthesis mechanisms (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Infectious Diseases (486 citations), Immunology (199 citations), Animal Science and Zoology (82 citations), Neurology (70 citations) and Cardiology and Cardiovascular Medicine (68 citations). Wan‐Man Wong has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include Kin‐Hang Kok, Chun‐Kit Yuen, Kelvin Kai‐Wang To, Jasper Fuk‐Woo Chan, Xiaohui Wang, Jian‐Piao Cai, Hin Chu, Dong‐Yan Jin, Kwok-Yung Yuen and Kwok‐Yung Yuen. Their work appears in journals such as Emerging Microbes & Infections, Nature Communications, Clinical Infectious Diseases, Vaccines and Journal of Virology.

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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