Dick C. Chan

7.9k citations
201 papers · 6.1k · h-index 46

Impact in

Papers in

Dick C. Chan

198 papers receiving 5.9k citations

Peers

Dick C. Chan
Comparison fields: 5 of 131
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Surgery 2.4k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Cancer Research 686
  • Nutrition and Dietetics 511
Replace Jean‐Marie Bard with:
Jean‐Marie Bard France
Marshall B. Elam United States
Y. Antero Kesäniemi Finland
Hubert Scharnagl Austria
Tamio Teramoto Japan
Robin P. F. Dullaart Netherlands
Francisco Blanco‐Vaca Spain
Anette Varbo Denmark
Tjerk W.A. de Bruin Netherlands
Marian C. Cheung United States
Dick C. Chan relative to Jean‐Marie Bard France Jean‐Marie Bard's profile →
Citations per field
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Jean‐Marie Bard · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dick C. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dick C. Chan Line = papers co-authored together Dick C. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008217
2 2003198
3 2003178
4 2003150
5 2010130
6 2002127
7 2002126
8 2004119
9 2002117
10 2018116
11 200299
12 200597
13 200491
14 200587
15 200687
16 201384
17 200780
18 200679
19 200274
20 201674

About Dick C. Chan

Dick C. Chan is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology, having authored 201 papers that have together received 6.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (87 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (76 papers), Lipid metabolism and disorders (26 papers), Cancer, Lipids, and Metabolism (22 papers), Cholesterol and Lipid Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Fatty Acid Research and Health (8 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Surgery (2.4k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Cancer Research (686 citations) and Nutrition and Dietetics (511 citations). Dick C. Chan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Gerald F. Watts, P. Hugh R. Barrett, Esther Ooi, Jing Pang, T Ng, Trevor A. Mori, Trevor G. Redgrave, Lawrence J. Beilin, Gursharan Dogra and Minh N. Nguyen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Science, Atherosclerosis, Current Opinion in Lipidology and Metabolism.

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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