Douglas C. Cheung

77 total papers · 691 total citations
37 papers, 437 citations indexed

About

Douglas C. Cheung is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Douglas C. Cheung has authored 37 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 16 papers in Surgery and 8 papers in Oncology. Recurrent topics in Douglas C. Cheung's work include Prostate Cancer Diagnosis and Treatment (12 papers), Prostate Cancer Treatment and Research (12 papers) and Bladder and Urothelial Cancer Treatments (10 papers). Douglas C. Cheung is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (12 papers), Prostate Cancer Treatment and Research (12 papers) and Bladder and Urothelial Cancer Treatments (10 papers). Douglas C. Cheung collaborates with scholars based in Canada, United States and Australia. Douglas C. Cheung's co-authors include Antonio Finelli, Noah J. Switzer, Xinzhe Shi, Shahzeer Karmali, Richdeep S. Gill, Keith Rourke, Joseph LaBossière, Neil Fleshner, Girish S. Kulkarni and Robert K. Nam and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Urology.

In The Last Decade

Douglas C. Cheung

33 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Douglas C. Cheung	246	174	87	60	58	37	437
Jack R. Andrews	278 1.1×	181 1.0×	106 1.2×	70 1.2×	73 1.3×	53	494
Óscar Bielsa	160 0.7×	221 1.3×	74 0.9×	21 0.3×	45 0.8×	41	494
Piruz Motamedinia	231 0.9×	145 0.8×	64 0.7×	31 0.5×	27 0.5×	46	420
Tin C. Ngo	266 1.1×	105 0.6×	51 0.6×	30 0.5×	72 1.2×	20	381
Željko Fučkar	156 0.6×	127 0.7×	92 1.1×	60 1.0×	55 0.9×	37	373
Antonio Tufano	178 0.7×	184 1.1×	51 0.6×	54 0.9×	43 0.7×	62	447
Fernando Ide Yamauchi	190 0.8×	141 0.8×	48 0.6×	44 0.7×	82 1.4×	46	376
Vinson Wai‐Shun Chan	290 1.2×	104 0.6×	70 0.8×	66 1.1×	67 1.2×	48	452
Chien-Hsing Meng	225 0.9×	268 1.5×	35 0.4×	25 0.4×	47 0.8×	34	466
Young Beom Jeong	177 0.7×	160 0.9×	101 1.2×	86 1.4×	16 0.3×	46	439

Countries citing papers authored by Douglas C. Cheung

Since Specialization

Citations

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

Fields of papers citing papers by Douglas C. Cheung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas C. Cheung

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