Sidney Tam

6.4k citations
118 papers · 4.8k indexed · h-index 38

Sidney Tam

117 papers receiving 4.7k citations

Peers

Sidney Tam
Comparison fields: 5 of 136
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cardiology and Cardiovascular Medicine 925
  • Clinical Biochemistry 244
  • Endocrine and Autonomic Systems 241
  • Epidemiology 1.2k
Replace Ki‐Up Lee with:
Ki‐Up Lee South Korea
Felipe Javier Chaves Spain
Masanori Iwaki Japan
Izabella Lipinska United States
Hyun Chul Lee South Korea
David E. Stec United States
Munehide Matsuhisa Japan
Edgard Delvin Canada
Kameswara Rao Badri United States
Roberto Testa Italy
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Citations per field
00.5×1.5×
Ki‐Up Lee · 1×
Citations per year

Countries citing papers authored by Sidney Tam

Since Specialization
Citations

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

Fields of papers citing papers by Sidney Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sidney Tam. 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 Sidney Tam. The network helps show where Sidney Tam may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 20141
3 201350
4 201210
5 201118
6 20117
7 200925
8
The antidiabetic effects of a dry powder of dietary vegetable and fruit mixtures in diabetic db/db mice
20080
9 200760
10 200710
11 200756
12 2006487
13 200618
14 2004108
15 20044
16 20039
17 200010
18 200089
19 19992
20 19924

About Sidney Tam

Sidney Tam is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine and Hematology, having authored 118 papers that have together received 4.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Metabolism and Genetic Disorders (12 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Cardiovascular Health and Disease Prevention (9 papers), Neonatal Health and Biochemistry (7 papers), Lipoproteins and Cardiovascular Health (7 papers), Dialysis and Renal Disease Management (6 papers) and Vitamin D Research Studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (925 citations), Clinical Biochemistry (244 citations), Endocrine and Autonomic Systems (241 citations) and Epidemiology (1.2k citations). Sidney Tam has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Karen S.L. Lam, Aimin Xu, Nelson M.S. Wat, Wing-Sun Chow, Kathryn Choon Beng Tan, Bernard M.Y. Cheung, Bonnie Mei-Wah Fong, Victor Ai, TH Lam and Jian Xu. Their work appears in journals such as Clinical Endocrinology, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism, Clinica Chimica Acta and Atherosclerosis.

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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