Kris Tan

474 total citations
8 papers, 370 citations indexed

About

Kris Tan is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Kris Tan has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Obstetrics and Gynecology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Surgery. Recurrent topics in Kris Tan's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Bariatric Surgery and Outcomes (2 papers) and Gestational Diabetes Research and Management (2 papers). Kris Tan is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Bariatric Surgery and Outcomes (2 papers) and Gestational Diabetes Research and Management (2 papers). Kris Tan collaborates with scholars based in Australia. Kris Tan's co-authors include Robert C. Baxter, Ian D. Caterson, Lynda Molyneaux, Glynis P. Ross, Jencia Wong, Peter Stewart, David McWilliam, Felicity Hawker, Dennis K. Yue and Ian S. Fraser and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Critical Care Medicine.

In The Last Decade

Kris Tan

8 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kris Tan Australia 7 198 112 99 73 57 8 370
P. Martul Spain 15 257 1.3× 48 0.4× 88 0.9× 138 1.9× 58 1.0× 31 575
Yasemin Tütüncü Türkiye 12 229 1.2× 61 0.5× 142 1.4× 26 0.4× 19 0.3× 32 413
Paolo Beck‐Peccoz Italy 9 302 1.5× 29 0.3× 66 0.7× 94 1.3× 48 0.8× 10 416
Massimo Realacci Italy 11 69 0.3× 47 0.4× 80 0.8× 57 0.8× 41 0.7× 17 321
Daniëlle C M van der Kaay Netherlands 15 309 1.6× 90 0.8× 76 0.8× 111 1.5× 46 0.8× 38 533
Aslı Doğruk Ünal Türkiye 12 141 0.7× 21 0.2× 47 0.5× 64 0.9× 31 0.5× 21 326
Flora Veltri Belgium 11 295 1.5× 52 0.5× 55 0.6× 40 0.5× 15 0.3× 16 351
Victoria Stokes United Kingdom 11 143 0.7× 18 0.2× 74 0.7× 57 0.8× 32 0.6× 21 358
A Bhattacharyya India 8 165 0.8× 76 0.7× 114 1.2× 103 1.4× 14 0.2× 24 377
Spyridon Gerou Greece 10 57 0.3× 50 0.4× 68 0.7× 147 2.0× 22 0.4× 31 393

Countries citing papers authored by Kris Tan

Since Specialization
Citations

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

Fields of papers citing papers by Kris Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kris Tan

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

All Works

8 of 8 papers shown
1.
Sweeting, Arianne, Glynis P. Ross, Jon Hyett, et al.. (2016). Baseline HbA1c to Identify High Risk Gestational Diabetes: Utility in Early Versus Standard Gestational Diabetes. The Journal of Clinical Endocrinology & Metabolism. 102(1). jc.2016–2951. 39 indexed citations
2.
Richards, Anthony, Selvan Pather, Samir Saidi, et al.. (2015). HE4, CA125, the Risk of Malignancy Algorithm and the Risk of Malignancy Index and complex pelvic masses ‐ a prospective comparison in the pre‐operative evaluation of pelvic masses in an Australian population. Australian and New Zealand Journal of Obstetrics and Gynaecology. 55(5). 493–497. 16 indexed citations
3.
Donnelly, P, et al.. (2013). Inhibin B Levels in Hypothyroid Males. Thyroid. 23(11). 1379–1382. 4 indexed citations
4.
Molyneaux, Lynda, et al.. (2011). Can Common Clinical Parameters Be Used to Identify Patients Who Will Need Insulin Treatment in Gestational Diabetes Mellitus?. Diabetes Care. 34(10). 2214–2216. 56 indexed citations
5.
Fraser, Ian S., et al.. (1989). Detailed Assessment of Big Big Prolactin in Women with Hyperprolactinemia and Normal Ovarian Function. The Journal of Clinical Endocrinology & Metabolism. 69(3). 585–592. 49 indexed citations
6.
Fraser, Ian S., et al.. (1989). Reproductive Hormones in Menstrual Blood. The Journal of Clinical Endocrinology & Metabolism. 69(2). 338–342. 13 indexed citations
7.
Hawker, Felicity, Peter Stewart, Robert C. Baxter, et al.. (1987). Relationship of somatomedin-C/insulin-like growth factor I levels to conventional nutritional indices in critically ill patients. Critical Care Medicine. 15(8). 732–736. 78 indexed citations
8.
Tan, Kris & Robert C. Baxter. (1986). Serum Insulin-Like Growth Factor I Levels in Adult Diabetic Patients: The Effect ofAge. The Journal of Clinical Endocrinology & Metabolism. 63(3). 651–655. 115 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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