B Y Tan

473 total citations
9 papers, 414 citations indexed

About

B Y Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, B Y Tan has authored 9 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 1 paper in Epidemiology. Recurrent topics in B Y Tan's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Metabolism, Diabetes, and Cancer (4 papers) and Diabetes and associated disorders (1 paper). B Y Tan is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Metabolism, Diabetes, and Cancer (4 papers) and Diabetes and associated disorders (1 paper). B Y Tan collaborates with scholars based in Singapore and Hong Kong. B Y Tan's co-authors include Chang Tan, S C Emmanuel, E Shyong Tai, S K Chew, Sungmook Lim, Derrick Heng, Suok‐Kai Chew, J. S. Cheah, S. S. F. Leung and P P Yeo and has published in prestigious journals such as Diabetes Care, Diabetes and Atherosclerosis.

In The Last Decade

B Y Tan

9 papers receiving 394 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
B Y Tan Singapore	8	246	107	71	65	63	9	414
E Eschwège France	9	290 1.2×	80 0.7×	31 0.4×	88 1.4×	111 1.8×	18	430
Marsha Harris United States	4	291 1.2×	49 0.5×	33 0.5×	84 1.3×	42 0.7×	4	452
Sara Artola Spain	12	217 0.9×	69 0.6×	42 0.6×	35 0.5×	46 0.7×	28	330
Sang Ah Chang South Korea	8	179 0.7×	56 0.5×	36 0.5×	55 0.8×	42 0.7×	21	351
E.S. Sous United States	8	412 1.7×	99 0.9×	39 0.5×	95 1.5×	39 0.6×	8	616
R Palencia Germany	7	183 0.7×	51 0.5×	45 0.6×	53 0.8×	83 1.3×	25	386
Ulf Rosenqvist Sweden	11	208 0.8×	48 0.4×	23 0.3×	38 0.6×	100 1.6×	25	474
Graciela Laura Pennacchiotti Argentina	6	191 0.8×	124 1.2×	69 1.0×	77 1.2×	90 1.4×	25	419
Oscar Mateo de Acosta Brazil	5	263 1.1×	46 0.4×	77 1.1×	61 0.9×	104 1.7×	13	410
Abdulghani Alsaeed Saudi Arabia	4	404 1.6×	54 0.5×	60 0.8×	35 0.5×	59 0.9×	11	548

Countries citing papers authored by B Y Tan

Since Specialization

Citations

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

Fields of papers citing papers by B Y Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B Y Tan. 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 B Y Tan. The network helps show where B Y Tan may publish in the future.

Co-authorship network of co-authors of B Y Tan

This figure shows the co-authorship network connecting the top 25 collaborators of B Y Tan. A scholar is included among the top collaborators of B Y Tan 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 B Y Tan. B Y Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Tan, Chang, S C Emmanuel, B Y Tan, E Shyong Tai, & Suok‐Kai Chew. (2001). Diabetes mellitus abolishes ethnic differences in cardiovascular risk factors: lessons from a multi-ethnic population. Atherosclerosis. 155(1). 179–186. 14 indexed citations

2.

Tai, E Shyong, Sungmook Lim, S K Chew, B Y Tan, & Chang Tan. (2000). Homeostasis model assessment in a population with mixed ethnicity: the 1992 Singapore National Health Survey. Diabetes Research and Clinical Practice. 49(2-3). 159–168. 41 indexed citations

3.

Tai, E Shyong, Sungmook Lim, B Y Tan, et al.. (2000). Screening for diabetes mellitus – a two‐step approach in individuals with impaired fasting glucose improves detection of those at risk of complications. Diabetic Medicine. 17(11). 771–775. 31 indexed citations

4.

Lim, Sungmook, E Shyong Tai, B Y Tan, S K Chew, & Chang Tan. (2000). Cardiovascular risk profile in individuals with borderline glycemia: the effect of the 1997 American Diabetes Association diagnostic criteria and the 1998 World Health Organization Provisional Report.. Diabetes Care. 23(3). 278–282. 63 indexed citations

5.

Tai, E Shyong, S C Emmanuel, S K Chew, B Y Tan, & Chang Tan. (1999). Isolated low HDL cholesterol: an insulin-resistant state only in the presence of fasting hypertriglyceridemia.. Diabetes. 48(5). 1088–1092. 51 indexed citations

6.

Tan, Chang, et al.. (1999). Prevalence of diabetes and ethnic differences in cardiovascular risk factors. The 1992 Singapore National Health Survey.. Diabetes Care. 22(2). 241–247. 187 indexed citations

7.

Leung, S. S. F., et al.. (1994). Serum cholesterol and dietary fat of two populations of southern Chinese.. PubMed. 3(3). 127–30. 13 indexed citations

8.

Cheah, J. S., et al.. (1985). Epidemiology of diabetes mellitus in Singapore: comparison with other ASEAN countries.. PubMed. 14(2). 232–9. 10 indexed citations

9.

Yeo, P P, A C Thai, Lily Y. L. Chan, et al.. (1985). Home blood glucose monitoring, glycaemic control and diabetic complications.. PubMed. 14(2). 247–51. 4 indexed citations

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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