Chun Pan Cheung

56 total papers · 5.1k total citations
25 papers, 1.3k citations indexed

About

Chun Pan Cheung is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Chun Pan Cheung has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Chun Pan Cheung's work include Gut microbiota and health (16 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and 3D Shape Modeling and Analysis (3 papers). Chun Pan Cheung is often cited by papers focused on Gut microbiota and health (16 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and 3D Shape Modeling and Analysis (3 papers). Chun Pan Cheung collaborates with scholars based in Hong Kong, China and United States. Chun Pan Cheung's co-authors include Francis K.L. Chan, Siew C. Ng, Paul K.S. Chan, Fen Zhang, Tao Zuo, Afzal Godil, Helin Dutağacı, Joseph J.�Y. Sung, Jessica Y. L. Ching and Yun Kit Yeoh and has published in prestigious journals such as Nature Communications, Gastroenterology and Gut.

In The Last Decade

Chun Pan Cheung

23 papers receiving 1.3k citations

Hit Papers

Gut mucosal virome altera... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Chun Pan Cheung 782 554 228 146 129 25 1.3k
Mark Anderson 529 0.7× 362 0.7× 69 0.3× 114 0.8× 83 0.6× 53 1.8k
Samantha L. Dawson 511 0.7× 137 0.2× 58 0.3× 64 0.4× 19 0.1× 61 1.8k
Vy Lam 831 1.1× 257 0.5× 55 0.2× 107 0.7× 6 0.0× 26 1.4k
Justin D. Silverman 1.1k 1.4× 220 0.4× 217 1.0× 250 1.7× 18 0.1× 33 1.7k
Dongfang Li 728 0.9× 111 0.2× 109 0.5× 319 2.2× 17 0.1× 53 1.3k
Tiphaine Martin 1.3k 1.7× 192 0.3× 43 0.2× 145 1.0× 21 0.2× 27 1.8k
Simone S. Li 1.1k 1.4× 368 0.7× 162 0.7× 121 0.8× 9 0.1× 20 1.4k
Tarun Bansal 1.0k 1.3× 194 0.4× 139 0.6× 84 0.6× 9 0.1× 21 1.6k
Olivia Kershaw 316 0.4× 215 0.4× 30 0.1× 327 2.2× 30 0.2× 91 1.4k
Sandip Paul 1.2k 1.5× 189 0.3× 234 1.0× 177 1.2× 9 0.1× 45 1.8k

Countries citing papers authored by Chun Pan Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Chun Pan Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Pan Cheung. 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 Chun Pan Cheung. The network helps show where Chun Pan Cheung may publish in the future.

Co-authorship network of co-authors of Chun Pan Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Chun Pan Cheung. A scholar is included among the top collaborators of Chun Pan Cheung 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 Chun Pan Cheung. Chun Pan Cheung 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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