Yee Kwan Chan

21 total papers · 778 total citations
18 papers, 601 citations indexed

About

Yee Kwan Chan is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yee Kwan Chan has authored 18 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yee Kwan Chan's work include Gut microbiota and health (5 papers), Diet and metabolism studies (4 papers) and Autophagy in Disease and Therapy (4 papers). Yee Kwan Chan is often cited by papers focused on Gut microbiota and health (5 papers), Diet and metabolism studies (4 papers) and Autophagy in Disease and Therapy (4 papers). Yee Kwan Chan collaborates with scholars based in Canada, Australia and Hong Kong. Yee Kwan Chan's co-authors include Deanna L. Gibson, Gary Sweeney, Mehrbod Estaki, Hani El‐Nezami, Pirkka V. Kirjavainen, Hye Kyoung Sung, Subat Turdi, Daxu Li, Min Park and Peng Jiao and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Annals of Oncology.

In The Last Decade

Yee Kwan Chan

18 papers receiving 588 citations

Author Peers

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

Author Last Decade Papers Cites
Yee Kwan Chan 331 180 114 112 72 18 601
Youngcheon Song 425 1.3× 179 1.0× 93 0.8× 78 0.7× 32 0.4× 31 663
Leticia Coín‐Aragüez 276 0.8× 222 1.2× 132 1.2× 139 1.2× 25 0.3× 20 598
Kees Meijer 262 0.8× 184 1.0× 133 1.2× 81 0.7× 28 0.4× 14 643
Mari Mizuno 220 0.7× 111 0.6× 125 1.1× 119 1.1× 59 0.8× 40 598
Oliver Murch 236 0.7× 106 0.6× 134 1.2× 86 0.8× 55 0.8× 21 675
Yoshifumi Hiramatsu 144 0.4× 163 0.9× 88 0.8× 146 1.3× 70 1.0× 22 587
Qi Zhu 382 1.2× 117 0.7× 70 0.6× 69 0.6× 35 0.5× 24 616
Caroline Pelletier 227 0.7× 222 1.2× 85 0.7× 72 0.6× 36 0.5× 15 647
G Oriani 123 0.4× 123 0.7× 111 1.0× 90 0.8× 90 1.3× 33 675
Vincenzo Aiello 343 1.0× 218 1.2× 70 0.6× 62 0.6× 22 0.3× 22 679

Countries citing papers authored by Yee Kwan Chan

Since Specialization
Citations

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

Fields of papers citing papers by Yee Kwan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yee Kwan Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yee Kwan Chan. A scholar is included among the top collaborators of Yee Kwan 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 Yee Kwan Chan. Yee Kwan 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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