Bee K. Tan

10.0k citations
120 papers · 7.0k · 1 hit paper · h-index 46

Impact in

Papers in

Bee K. Tan

117 papers receiving 6.8k citations

Bee K. Tan's Hit Papers

Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta-analysis 2020 · 740 citations
7400+2+4Years since publication200400600

Peers

Bee K. Tan
Comparison fields: 5 of 138
  • Obstetrics and Gynecology 1.1k
  • Reproductive Medicine 804
  • Endocrine and Autonomic Systems 527
  • Epidemiology 1.8k
  • Physiology 1.1k
Replace Joan Vendrell with:
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Bee K. Tan relative to Joan Vendrell Spain Joan Vendrell's profile →
Citations per field
00.5×5.2×
Joan Vendrell · 1×
Citations per year

Countries citing papers authored by Bee K. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bee K. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta-analysis
Hit paper breakdown →
2020740
2 2007376
3 2010287
4 2010282
5 2012237
6 2008226
7
Salvia miltiorrhiza and ischemic diseases.
2000223
8 2006220
9 2010208
10 2009167
11 2008151
12 2017127
13 2010117
14 2005116
15 2008116
16 2011110
17 2016106
18 2010105
19 2014102
20 2009101

About Bee K. Tan

Bee K. Tan is a scholar working on Epidemiology, Obstetrics and Gynecology, Molecular Biology, Physiology and Reproductive Medicine, having authored 120 papers that have together received 7.0k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (28 papers), Adipose Tissue and Metabolism (16 papers), Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (8 papers), Ovarian function and disorders (8 papers), Photodynamic Therapy Research Studies (6 papers), Endometriosis Research and Treatment (6 papers) and Cardiovascular Disease and Adiposity (6 papers). The work is most often cited by research in Obstetrics and Gynecology (1.1k citations), Reproductive Medicine (804 citations), Endocrine and Autonomic Systems (527 citations), Epidemiology (1.8k citations) and Physiology (1.1k citations). Bee K. Tan has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Harpal Randeva, Raghu Adya, Jing Chen, Hendrik Lehnert, Kamlesh Khunti, Clare Gillies, Melanie J. Davies, Elpida Vounzoulaki, Sophia Abner and Jiamiao Hu. Their work appears in journals such as Diabetes, PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Journal of Clinical Medicine and Endocrinology.

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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