Kenneth Cheung

22 total papers · 834 total citations
17 papers, 640 citations indexed

About

Kenneth Cheung is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Immunology. According to data from OpenAlex, Kenneth Cheung has authored 17 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Kenneth Cheung's work include Cancer-related cognitive impairment studies (4 papers), CAR-T cell therapy research (4 papers) and Thyroid and Parathyroid Surgery (2 papers). Kenneth Cheung is often cited by papers focused on Cancer-related cognitive impairment studies (4 papers), CAR-T cell therapy research (4 papers) and Thyroid and Parathyroid Surgery (2 papers). Kenneth Cheung collaborates with scholars based in United States, Israel and Hong Kong. Kenneth Cheung's co-authors include Xinghuo Li, Dayenne G. van Leeuwen, Renier J. Brentjens, Mauro P. Avanzi, Terence J. Purdon, H. Park, Anthony F. Daniyan, Dinali Wijewarnasuriya, Kathryn Spanknebel and Oladapo Yeku and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Neurology.

In The Last Decade

Kenneth Cheung

17 papers receiving 628 citations

Author Peers

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

Author Last Decade Papers Cites
Kenneth Cheung 306 134 131 124 122 17 640
Sabrina Meyer 198 0.6× 54 0.4× 179 1.4× 257 2.1× 31 0.3× 23 613
Nurbek Mambetsariev 85 0.3× 96 0.7× 220 1.7× 105 0.8× 25 0.2× 20 615
Pierpaolo Peruzzi 107 0.3× 39 0.3× 466 3.6× 74 0.6× 90 0.7× 29 780
Sonja M. Wörmann 393 1.3× 169 1.3× 195 1.5× 288 2.3× 32 0.3× 12 727
Luke Tan 178 0.6× 305 2.3× 76 0.6× 52 0.4× 36 0.3× 21 678
Karrie Wong 183 0.6× 85 0.6× 171 1.3× 400 3.2× 28 0.2× 31 689
Bolot Mambetsariev 128 0.4× 116 0.9× 299 2.3× 62 0.5× 11 0.1× 19 734
Joseph P. Imperato 165 0.5× 131 1.0× 137 1.0× 42 0.3× 28 0.2× 13 709
Azadeh Farin 61 0.2× 112 0.8× 140 1.1× 31 0.3× 16 0.1× 15 675
Beata Styp‐Rekowska 68 0.2× 88 0.7× 362 2.8× 68 0.5× 29 0.2× 19 738

Countries citing papers authored by Kenneth Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Cheung

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