William M.W. Cheung

23 total papers · 620 total citations
20 papers, 534 citations indexed

About

William M.W. Cheung is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, William M.W. Cheung has authored 20 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in William M.W. Cheung's work include Retinoids in leukemia and cellular processes (8 papers), Nerve injury and regeneration (4 papers) and TGF-β signaling in diseases (2 papers). William M.W. Cheung is often cited by papers focused on Retinoids in leukemia and cellular processes (8 papers), Nerve injury and regeneration (4 papers) and TGF-β signaling in diseases (2 papers). William M.W. Cheung collaborates with scholars based in Hong Kong, China and United Kingdom. William M.W. Cheung's co-authors include Nancy Y. Ip, Patrick Chu, Siu Wai Chiu, Fanny C.F. Ip, Yok‐Lam Kwong, Huibin Tang, Wilson W. Ng, Vivian Chan, Annie W.C. Kung and Qing-Yang Huang and has published in prestigious journals such as Journal of Biological Chemistry, FEBS Letters and Journal of Bacteriology.

In The Last Decade

William M.W. Cheung

20 papers receiving 525 citations

Author Peers

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

Author Last Decade Papers Cites
William M.W. Cheung 381 92 76 64 46 20 534
Shao‐Ming Wang 343 0.9× 70 0.8× 68 0.9× 35 0.5× 47 1.0× 26 611
Yali Xu 190 0.5× 72 0.8× 35 0.5× 86 1.3× 49 1.1× 26 448
Yuanbin Xie 425 1.1× 84 0.9× 20 0.3× 87 1.4× 62 1.3× 15 616
Yinghui Peng 277 0.7× 51 0.6× 26 0.3× 63 1.0× 30 0.7× 26 521
Rebecca Salmonsen 284 0.7× 117 1.3× 125 1.6× 18 0.3× 48 1.0× 24 586
Ebrahim Esfandiary 243 0.6× 77 0.8× 56 0.7× 23 0.4× 32 0.7× 21 561
Natanael Zarco 206 0.5× 36 0.4× 35 0.5× 30 0.5× 52 1.1× 30 518
Yingjia Yao 326 0.9× 55 0.6× 64 0.8× 31 0.5× 25 0.5× 22 611
Haijun Bao 320 0.8× 72 0.8× 80 1.1× 17 0.3× 54 1.2× 19 581
Tatsuya Uebi 309 0.8× 76 0.8× 23 0.3× 58 0.9× 42 0.9× 23 539

Countries citing papers authored by William M.W. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by William M.W. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M.W. 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 William M.W. Cheung. The network helps show where William M.W. Cheung may publish in the future.

Co-authorship network of co-authors of William M.W. Cheung

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