Helen Cheung

40 total papers · 562 total citations
27 papers, 315 citations indexed

About

Helen Cheung is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Surgery. According to data from OpenAlex, Helen Cheung has authored 27 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Hepatology and 5 papers in Surgery. Recurrent topics in Helen Cheung's work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (6 papers). Helen Cheung is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (6 papers). Helen Cheung collaborates with scholars based in Canada, United States and South Korea. Helen Cheung's co-authors include Craig R. Ries, Bernard A. MacLeod, Daniel L. Rubin, Stephan Schwarz, Sangmook Lee, William J. Sibbald, Natalie G. Coburn, Paul J. Karanicolas, Craig A. Metz and Laurent Milot and has published in prestigious journals such as Neurology, Radiology and Journal of Applied Physiology.

In The Last Decade

Helen Cheung

26 papers receiving 307 citations

Author Peers

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

Author Last Decade Papers Cites
Helen Cheung 102 75 53 53 48 27 315
Tianqi Zhang 45 0.4× 55 0.7× 51 1.0× 84 1.6× 47 1.0× 34 335
Na‐Na Chung 68 0.7× 69 0.9× 53 1.0× 28 0.5× 90 1.9× 20 363
Kamal Hassan 43 0.4× 34 0.5× 17 0.3× 26 0.5× 57 1.2× 29 349
Young-Eun Lee 28 0.3× 84 1.1× 43 0.8× 61 1.2× 52 1.1× 29 311
Yong Jin Cho 27 0.3× 134 1.8× 62 1.2× 24 0.5× 33 0.7× 25 357
Ian Tyson 102 1.0× 146 1.9× 35 0.7× 19 0.4× 37 0.8× 31 335
Yi Wang 38 0.4× 46 0.6× 28 0.5× 18 0.3× 112 2.3× 30 359
Kristina Bojanić 43 0.4× 15 0.2× 33 0.6× 64 1.2× 39 0.8× 20 317
Ahmet Kocael 46 0.5× 28 0.4× 33 0.6× 12 0.2× 127 2.6× 28 316
Katherine March 24 0.2× 36 0.5× 62 1.2× 35 0.7× 51 1.1× 22 341

Countries citing papers authored by Helen Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Helen Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Cheung

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