Man Chun Cheung

14 total papers · 1.9k total citations
10 papers, 1.1k citations indexed

About

Man Chun Cheung is a scholar working on Infectious Diseases, Pharmacology and Organic Chemistry. According to data from OpenAlex, Man Chun Cheung has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Pharmacology and 2 papers in Organic Chemistry. Recurrent topics in Man Chun Cheung's work include COVID-19 Clinical Research Studies (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Man Chun Cheung is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Man Chun Cheung collaborates with scholars based in Hong Kong, United States and China. Man Chun Cheung's co-authors include Malik Peiris, Kenrie P. Y. Hui, Michael C. W. Chan, John M. Nicholls, Ka‐Chun Ng, John Chi Wang Ho, Leo L. M. Poon, Ko‐Yung Sit, Haogao Gu and Timmy Wing‐Kuk Au and has published in prestigious journals such as Nature, Nature Neuroscience and Scientific Reports.

In The Last Decade

Man Chun Cheung

10 papers receiving 1.1k citations

Hit Papers

SARS-CoV-2 Omicron varian... 2020 2026 2022 2024 2022 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Man Chun Cheung 720 199 184 138 90 10 1.1k
John Chi Wang Ho 689 1.0× 190 1.0× 303 1.6× 143 1.0× 92 1.0× 17 1.2k
Erick Correia Loiola 510 0.7× 65 0.3× 413 2.2× 252 1.8× 66 0.7× 14 1.4k
Paula Barreras 321 0.4× 363 1.8× 114 0.6× 129 0.9× 21 0.2× 24 964
Timo B. Trefzer 727 1.0× 215 1.1× 254 1.4× 87 0.6× 146 1.6× 7 1.2k
Carlos A. Luciano 244 0.3× 348 1.7× 174 0.9× 328 2.4× 25 0.3× 32 1.3k
Tifenn Le Charpentier 214 0.3× 157 0.8× 270 1.5× 166 1.2× 321 3.6× 16 1.4k
Nelson L. ‘Shasha’ Jumbe 178 0.2× 67 0.3× 233 1.3× 288 2.1× 128 1.4× 26 1.4k
Furong Qi 668 0.9× 255 1.3× 201 1.1× 124 0.9× 183 2.0× 23 956
Kangtai Liu 636 0.9× 144 0.7× 262 1.4× 136 1.0× 109 1.2× 8 1.1k
Despina Yancopoulou 488 0.7× 336 1.7× 199 1.1× 78 0.6× 516 5.7× 22 1.4k

Countries citing papers authored by Man Chun Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Man Chun Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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