Albert K. Chan

2.8k citations
45 papers · 2.0k · h-index 25

Impact in

Papers in

Albert K. Chan

44 papers receiving 1.9k citations

Peers

Albert K. Chan
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 798
  • Ophthalmology 223
  • Gastroenterology 114
  • Genetics 415
  • Clinical Biochemistry 88
Replace Stephen Hing with:
Stephen Hing Australia
Janine Cusumano Australia
Gayle M. Lorenzi United States
Ivo H. De Leeuw Belgium
J. B. Ferriss Ireland
M C Champion Canada
Serdar Güler Türkiye
Sema Akalın Türkiye
Sung Kil Lim South Korea
Fırat Bayraktar Türkiye
Albert K. Chan relative to Stephen Hing Australia Stephen Hing's profile →
Citations per field
00.5×3.3×
Stephen Hing · 1×
Citations per year

Countries citing papers authored by Albert K. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Albert K. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Albert K. 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 Albert K. Chan Line = papers co-authored together Albert K. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006329
2 2011116
3 2005105
4 201190
5 200587
6 201683
7 199778
8 200674
9 201671
10 201168
11 200264
12 201262
13 200557
14 200656
15 200554
16 200250
17 200549
18 200644
19 200539
20 199938

About Albert K. Chan

Albert K. Chan is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Rheumatology and Cell Biology, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Aldose Reductase and Taurine (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Cardiovascular Function and Risk Factors (3 papers), Pancreatic function and diabetes (3 papers), Cardiovascular Effects of Exercise (2 papers), Diabetes and associated disorders (2 papers) and Celiac Disease Research and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (798 citations), Ophthalmology (223 citations), Gastroenterology (114 citations), Genetics (415 citations) and Clinical Biochemistry (88 citations). Albert K. Chan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kim C. Donaghue, Maria E. Craig, Stephen Hing, Janine Cusumano, Martin Silink, Neville J. Howard, Charles F. Verge, Yoon Hi Cho, Geoffrey Ambler and Paul Benitez‐Aguirre. Their work appears in journals such as Diabetes Care, Diabetic Medicine, Pediatric Diabetes, The Medical Journal of Australia and Journal of Nuclear Cardiology.

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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