D. C. T. Wong

13 total papers · 448 total citations
9 papers, 351 citations indexed

About

D. C. T. Wong is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, D. C. T. Wong has authored 9 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in D. C. T. Wong's work include Neuroendocrine Tumor Research Advances (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Colorectal and Anal Carcinomas (2 papers). D. C. T. Wong is often cited by papers focused on Neuroendocrine Tumor Research Advances (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Colorectal and Anal Carcinomas (2 papers). D. C. T. Wong collaborates with scholars based in China, Canada and India. D. C. T. Wong's co-authors include David J. Stewart, A. Muldal, Richard Gregg, E. Eisenhauer, Joseph Ayoub, Yvon Cormier, Glen Goss, M. K. W. Li, Hester Yui Shan Cheung and James Wong and has published in prestigious journals such as Annals of Oncology, Diseases of the Colon & Rectum and Journal of the American Medical Directors Association.

In The Last Decade

D. C. T. Wong

9 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
D. C. T. Wong 246 124 123 109 108 9 351
Michael Kellick 102 0.4× 40 0.3× 97 0.8× 81 0.7× 93 0.9× 12 402
Peng-Zhi Ni 66 0.3× 51 0.4× 174 1.4× 50 0.5× 158 1.5× 13 293
Francesca La Russa 172 0.7× 110 0.9× 74 0.6× 67 0.6× 45 0.4× 10 340
Diana C. Medgyesy 257 1.0× 108 0.9× 122 1.0× 51 0.5× 47 0.4× 11 305
Baohong Cui 213 0.9× 55 0.4× 65 0.5× 72 0.7× 58 0.5× 9 346
J. R. J. Elbers 96 0.4× 50 0.4× 165 1.3× 56 0.5× 56 0.5× 11 362
Augustine Velez 225 0.9× 55 0.4× 252 2.0× 21 0.2× 137 1.3× 10 388
Todd M. Luckasevic 168 0.7× 97 0.8× 60 0.5× 19 0.2× 94 0.9× 8 302
Eli P. Darnell 251 1.0× 33 0.3× 164 1.3× 60 0.6× 40 0.4× 9 396
Giuseppina Arcangeli 227 0.9× 24 0.2× 102 0.8× 35 0.3× 70 0.6× 11 335

Countries citing papers authored by D. C. T. Wong

Since Specialization
Citations

This map shows the geographic impact of D. C. T. Wong'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 D. C. T. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. C. T. Wong more than expected).

Fields of papers citing papers by D. C. T. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. C. T. Wong. 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 D. C. T. Wong. The network helps show where D. C. T. Wong may publish in the future.

Co-authorship network of co-authors of D. C. T. Wong

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