K C Allen Chan

559 citations
11 papers · 405 indexed · h-index 9
Topics
SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 Clinical Research Studies (3 papers)Viral gastroenteritis research and epidemiology (2 papers)
Partner nations
Hong KongChinaSingapore

In The Last Decade

K C Allen Chan

11 papers receiving 395 citations

Peers

K C Allen Chan
Comparison fields: 5 of 68
  • Infectious Diseases 230
  • Epidemiology 129
  • Endocrinology, Diabetes and Metabolism 54
  • Molecular Biology 48
  • Modeling and Simulation 44
Replace Xiaofang Fu with:
Xiaofang Fu China
Shaia Almalki Saudi Arabia
A. H. Newton United States
Antonio Moreno‐Docón Spain
Maaweya E. Hamed Saudi Arabia
Caroline Sejourné France
Jianming Zhou China
Subhashini A. Sellers United States
Wolfgang Hoepler Austria
Tai‐Nin Chau Hong Kong
K C Allen Chan relative to Xiaofang Fu China Xiaofang Fu's profile →
Citations per field
00.5×4.2×
Xiaofang Fu · 1×
Citations per year

Countries citing papers authored by K C Allen Chan

Since Specialization
Citations

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

Fields of papers citing papers by K C Allen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K C Allen Chan

This figure shows the co-authorship network connecting the top 25 collaborators of K C Allen Chan. A scholar is included among the top collaborators of K C Allen 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 K C Allen Chan. K C Allen 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 5
2 22
3 52
4
Proteomic profiling in SARS: diagnostic and prognostic applications.
2
5 39
6 8
7 23
8 62
9 27
10 117
11 48

About K C Allen Chan

K C Allen Chan is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 11 papers that have together received 405 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (230 citations), Modeling and Simulation (44 citations) and Epidemiology (129 citations). K C Allen Chan has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Yuk Ming Dennis Lo, Rossa W. K. Chiu, Enders K. O. Ng, Nelson Lee, Emily C W Hung, David S.C. Hui, S Chim, Joseph J.�Y. Sung, Tong Yu and John S. Tam. Their work appears in journals such as PLoS ONE, Clinical Chemistry and Clinica Chimica Acta.

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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