Sidney Tam

6.4k citations
119 papers · 4.9k · h-index 38

Impact in

Papers in

Sidney Tam

116 papers receiving 4.7k citations

Peers

Sidney Tam
Comparison fields: 5 of 134
  • Endocrinology, Diabetes and Metabolism 851
  • Clinical Biochemistry 209
  • Epidemiology 915
  • Cardiology and Cardiovascular Medicine 589
  • Endocrine and Autonomic Systems 178
Replace Hafize Uzun with:
Hafize Uzun Türkiye
Tzong‐Shyuan Lee Taiwan
Roberto Testa Italy
Ki‐Up Lee South Korea
Masanori Iwaki Japan
Edgard Delvin Canada
Ji A Seo South Korea
Munehide Matsuhisa Japan
Massimo Collino Italy
Luigi Laviola Italy
Sidney Tam relative to Hafize Uzun Türkiye Hafize Uzun's profile →
Citations per field
00.5×1.5×2.4×
Hafize Uzun · 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-authors

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

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006490
2 2004295
3 2007224
4 2002163
5 2008149
6 2012148
7 2002135
8 2009125
9 2011114
10 2004108
11 201196
12 201192
13 200491
14 200791
15 200089
16 200483
17 200481
18 200777
19 200376
20 200872

About Sidney Tam

Sidney Tam is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Clinical Biochemistry and Surgery, having authored 119 papers that have together received 4.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Metabolism and Genetic Disorders (12 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Dialysis and Renal Disease Management (6 papers), Neonatal Health and Biochemistry (6 papers), Hormonal and reproductive studies (5 papers), Retinoids in leukemia and cellular processes (5 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (851 citations), Clinical Biochemistry (209 citations), Epidemiology (915 citations), Cardiology and Cardiovascular Medicine (589 citations) and Endocrine and Autonomic Systems (178 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, Jian Xu and Sheung-Wai Li. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Diabetes Care, Clinica Chimica Acta and Blood.

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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