Dick C. Chan

295 total papers · 7.7k total citations
200 papers, 6.0k citations indexed

About

Dick C. Chan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dick C. Chan has authored 200 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Surgery, 122 papers in Endocrinology, Diabetes and Metabolism and 62 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dick C. Chan's work include Lipoproteins and Cardiovascular Health (122 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (114 papers) and Cancer, Lipids, and Metabolism (54 papers). Dick C. Chan is often cited by papers focused on Lipoproteins and Cardiovascular Health (122 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (114 papers) and Cancer, Lipids, and Metabolism (54 papers). Dick C. Chan collaborates with scholars based in Australia, United States and Sweden. Dick C. Chan's co-authors include Gerald F. Watts, P. Hugh R. Barrett, Esther Ooi, T Ng, Jing Pang, Trevor A. Mori, Trevor G. Redgrave, Lawrence J. Beilin, Gursharan Dogra and Minh N. Nguyen and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and American Journal of Clinical Nutrition.

In The Last Decade

Dick C. Chan

194 papers receiving 5.8k citations

Author Peers

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

Author Last Decade Papers Cites
Dick C. Chan 3.1k 2.7k 1.7k 1.2k 1.1k 200 6.0k
Jean‐Marie Bard 2.6k 0.8× 3.3k 1.2× 2.4k 1.4× 781 0.7× 949 0.9× 170 7.2k
B. Lewis 3.2k 1.0× 3.1k 1.1× 1.8k 1.0× 783 0.7× 1.1k 1.0× 149 7.0k
Katsuyuki Nakajima 2.4k 0.8× 3.6k 1.3× 2.2k 1.3× 1.1k 0.9× 1.3k 1.3× 274 7.5k
Ruth Frikke‐Schmidt 3.5k 1.2× 2.6k 1.0× 1.6k 1.0× 833 0.7× 1.1k 1.0× 199 7.5k
Hubert Scharnagl 2.6k 0.8× 1.8k 0.7× 1.6k 0.9× 1.3k 1.1× 789 0.7× 264 7.3k
Moti L. Kashyap 4.1k 1.4× 4.5k 1.6× 1.8k 1.1× 1.1k 1.0× 1.5k 1.4× 162 8.5k
Arie van Tol 3.8k 1.2× 4.1k 1.5× 1.3k 0.8× 1.5k 1.3× 1.4k 1.3× 201 8.3k
Bela F. Asztalos 4.2k 1.4× 3.6k 1.3× 1.2k 0.7× 741 0.6× 1.4k 1.3× 149 6.9k
Geesje M. Dallinga‐Thie 3.3k 1.1× 3.2k 1.2× 2.0k 1.2× 1.1k 1.0× 1.3k 1.2× 215 8.0k
Marianne Benn 4.1k 1.3× 3.2k 1.2× 2.6k 1.5× 1.2k 1.0× 1.3k 1.2× 121 8.6k

Countries citing papers authored by Dick C. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Dick C. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dick C. Chan

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