Jacky Man Chun Chan

672 citations
7 papers · 381 indexed · 1 hit paper · h-index 5

Jacky Man Chun Chan

7 papers receiving 376 citations

Hit Papers

Neutralization of Severe Acute Respiratory Syndrome Coron...234202120262022202450100150200

Peers

Jacky Man Chun Chan
Comparison fields: 5 of 72
  • Infectious Diseases 273
  • Modeling and Simulation 29
  • Health 38
  • Nephrology 19
  • Immunology 51
Replace Tanawin Nopsopon with:
Tanawin Nopsopon United States
Yuyang Xu China
Guoqing Zhao China
Juanita Mellet South Africa
George A. Diaz United States
Dong Wei China
Paavani Atluri United States
Cuiting Luo China
Louise Benning Germany
Gisha Mohan United States
Jacky Man Chun Chan relative to Tanawin Nopsopon United States Tanawin Nopsopon's profile →
Citations per field
00.5×3.2×
Tanawin Nopsopon · 1×
Citations per year

Countries citing papers authored by Jacky Man Chun Chan

Since Specialization
Citations

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

Fields of papers citing papers by Jacky Man Chun Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

7 of 7 papers shown
#Work
1 202215
2 20223
3 202251
4
Neutralization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant by Sera From BNT162b2 or CoronaVac Vaccine Recipientsbreakdown →
2021234
5 201818
6 201157
7 20073

About Jacky Man Chun Chan

Jacky Man Chun Chan is a scholar working on Immunology and Allergy, Software and Modeling and Simulation, having authored 7 papers that have together received 381 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Food Allergy and Anaphylaxis Research (2 papers), Drug-Induced Adverse Reactions (2 papers), SARS-CoV-2 detection and testing (2 papers), Mast cells and histamine (1 paper), HIV/AIDS Research and Interventions (1 paper), COVID-19 epidemiological studies (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Infectious Diseases (273 citations), Modeling and Simulation (29 citations) and Health (38 citations). Jacky Man Chun Chan has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Ivan Fan Ngai Hung, Kwok Yung Yuen, Bosco Lam, Jonathan Daniel Ip, Vincent Chi‐Chung Cheng, Bobo Wing-Yee Mok, Honglin Chen, Kwok Hung Chan, Dong‐Yan Jin and O. T. Y. Tsang. Their work appears in journals such as Clinical Infectious Diseases, Scientific Reports, Journal of the American Society of Nephrology and SHILAP Revista de lepidopterología.

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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