KH Chan

140 total papers · 978 total citations
33 papers, 793 citations indexed

About

KH Chan is a scholar working on Epidemiology, Infectious Diseases and Neurology. According to data from OpenAlex, KH Chan has authored 33 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Infectious Diseases and 5 papers in Neurology. Recurrent topics in KH Chan's work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (5 papers) and Animal Disease Management and Epidemiology (4 papers). KH Chan is often cited by papers focused on Influenza Virus Research Studies (7 papers), Respiratory viral infections research (5 papers) and Animal Disease Management and Epidemiology (4 papers). KH Chan collaborates with scholars based in China, Hong Kong and Australia. KH Chan's co-authors include Kwok‐Yung Yuen, Malik Peiris, Leo L. M. Poon, Yi Guan, Chin Li Cheung, T.M. Ellis, Chung Yan Cheung, W. Lim, Robert G. Webster and A. S. Lipatov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Emergency Medicine and European Journal of Neurology.

In The Last Decade

KH Chan

32 papers receiving 754 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
KH Chan 490 335 192 104 90 33 793
Neziha Yılmaz 555 1.1× 369 1.1× 173 0.9× 139 1.3× 117 1.3× 42 910
Hào Pān 200 0.4× 390 1.2× 161 0.8× 57 0.5× 51 0.6× 42 687
Li‐Ching Hsu 310 0.6× 372 1.1× 114 0.6× 51 0.5× 116 1.3× 20 702
Jyh-Yuan Yang 175 0.4× 568 1.7× 164 0.9× 86 0.8× 36 0.4× 17 849
Chakrarat Pittayawonganon 732 1.5× 427 1.3× 345 1.8× 120 1.2× 61 0.7× 17 897
Hour‐Young Chen 160 0.3× 434 1.3× 93 0.5× 55 0.5× 37 0.4× 29 751
Marzia Facchini 471 1.0× 253 0.8× 182 0.9× 124 1.2× 47 0.5× 30 692
Whitney S. Krueger 397 0.8× 253 0.8× 274 1.4× 60 0.6× 56 0.6× 40 640
Fabrice Bailleux 627 1.3× 190 0.6× 45 0.2× 139 1.3× 51 0.6× 20 777
Annie Mak 689 1.4× 303 0.9× 232 1.2× 93 0.9× 24 0.3× 19 826

Countries citing papers authored by KH Chan

Since Specialization
Citations

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

Fields of papers citing papers by KH Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KH Chan

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

All Works

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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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