Seng Khee Gan

1.7k total citations
34 papers, 1.1k citations indexed

About

Seng Khee Gan is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology. According to data from OpenAlex, Seng Khee Gan has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Physiology and 9 papers in Molecular Biology. Recurrent topics in Seng Khee Gan's work include Adipose Tissue and Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Muscle metabolism and nutrition (5 papers). Seng Khee Gan is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Muscle metabolism and nutrition (5 papers). Seng Khee Gan collaborates with scholars based in Australia, United States and Netherlands. Seng Khee Gan's co-authors include Donald J. Chisholm, Gerald F. Watts, Lesley V. Campbell, Adamandia D. Kriketos, Edward W. Kraegen, Campbell Thompson, Ann M. Poynten, Katherine Samaras, Gerard T. Chew and Andrew Carr and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.

In The Last Decade

Seng Khee Gan

33 papers receiving 1.1k citations

Peers

Seng Khee Gan
G. Noll Switzerland
Yii‐Der Ida Chen United States
T Gulick United States
Seng Khee Gan
Citations per year, relative to Seng Khee Gan Seng Khee Gan (= 1×) peers Jean‐Philippe Bastard

Countries citing papers authored by Seng Khee Gan

Since Specialization
Citations

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

Fields of papers citing papers by Seng Khee Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seng Khee Gan. 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 Seng Khee Gan. The network helps show where Seng Khee Gan may publish in the future.

Co-authorship network of co-authors of Seng Khee Gan

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

All Works

20 of 20 papers shown
1.
Lu, Xingyu, Xiang Sean Zhou, Seng Khee Gan, et al.. (2025). SAEQ: Semantic anomaly event quantifier for event detection and judgement in social media. Expert Systems with Applications. 271. 126522–126522.
2.
Hancock, Michael L., Kharis Burns, Seng Khee Gan, & Gerard T. Chew. (2023). Low-carbohydrate diets in type 1 diabetes: balancing benefits and risks. Current Opinion in Endocrinology Diabetes and Obesity. 30(2). 113–122. 6 indexed citations
3.
Francis, Roslyn J., Alistair Vickery, W A Macdonald, et al.. (2021). The effect of Vitamin-K1 and Colchicine on Vascular Calcification Activity in subjects with Diabetes Mellitus (ViKCoVaC): A double-blind 2x2 factorial randomized controlled trial. Australasian Journal of Paramedicine. 29(4). 1855–1866. 20 indexed citations
5.
Ward, Natalie C., Trevor A. Mori, Lawrence J. Beilin, et al.. (2019). The effect of regular consumption of lupin-containing foods on glycaemic control and blood pressure in people with type 2 diabetes mellitus. Food & Function. 11(1). 741–747. 16 indexed citations
6.
Fitzgerald, Deirdre, Grant Waterer, Catherine Read, et al.. (2019). Steroid therapy and outcome of parapneumonic pleural effusions (STOPPE): Study protocol for a multicenter, double-blinded, placebo-controlled randomized clinical trial. Medicine. 98(43). e17397–e17397. 6 indexed citations
7.
Naylor, Louise H., et al.. (2019). The Effects of Water-based Exercise Training in People with Type 2 Diabetes. Medicine & Science in Sports & Exercise. 52(2). 417–424. 17 indexed citations
8.
Morgan, David, et al.. (2011). Life‐threatening hypokalaemia associated with ibuprofen‐induced renal tubular acidosis. The Medical Journal of Australia. 194(6). 313–316. 35 indexed citations
9.
Gan, Seng Khee, Leon A. Adams, & Gerald F. Watts. (2008). The trials and tribulations of the treatment of nonalcoholic fatty-liver disease. Current Opinion in Lipidology. 19(6). 592–599. 4 indexed citations
10.
Samaras, Katherine, et al.. (2008). Proinflammatory Markers, Insulin Sensitivity, and Cardiometabolic Risk Factors in Treated HIV Infection. Obesity. 17(1). 53–59. 44 indexed citations
11.
Watts, Gerald F. & Seng Khee Gan. (2008). Nutrition and metabolism: non-alcoholic fatty liver disease – pathogenesis, cardiovascular risk and therapy. Current Opinion in Lipidology. 19(1). 92–94. 7 indexed citations
12.
Heilbronn, Leonie K., Seng Khee Gan, Nigel Turner, Lesley V. Campbell, & Donald J. Chisholm. (2007). Markers of Mitochondrial Biogenesis and Metabolism Are Lower in Overweight and Obese Insulin-Resistant Subjects. The Journal of Clinical Endocrinology & Metabolism. 92(4). 1467–1473. 140 indexed citations
13.
Furler, Stuart M., Seng Khee Gan, Ann M. Poynten, et al.. (2006). Relationship of Adiponectin with Insulin Sensitivity in Humans, Independent of Lipid Availability. Obesity. 14(2). 228–234. 21 indexed citations
14.
Poynten, Ann M., Seng Khee Gan, A. D. Kriketos, Lesley V. Campbell, & Donald J. Chisholm. (2005). Circulating Fatty Acids, Non-High Density Lipoprotein Cholesterol, and Insulin-Infused Fat Oxidation Acutely Influence Whole Body Insulin Sensitivity in Nondiabetic Men. The Journal of Clinical Endocrinology & Metabolism. 90(2). 1035–1040. 22 indexed citations
15.
Gan, Seng Khee, Adamandia D. Kriketos, Ann M. Poynten, et al.. (2003). Insulin Action, Regional Fat, and Myocyte Lipid: Altered Relationships with Increased Adiposity. Obesity Research. 11(11). 1295–1305. 57 indexed citations
16.
Poynten, Ann M., Seng Khee Gan, Adamandia D. Kriketos, et al.. (2003). Nicotinic acid-induced insulin resistance is related to increased circulating fatty acids and fat oxidation but not muscle lipid content. Metabolism. 52(6). 699–704. 87 indexed citations
17.
Gan, Seng Khee, Katherine Samaras, Andrew Carr, & Donald J. Chisholm. (2001). Anti‐retroviral therapy, insulin resistance and lipodystrophy. Diabetes Obesity and Metabolism. 3(2). 67–71. 22 indexed citations
18.
Gan, Seng Khee & Donald J. Chisholm. (2001). The type 2 diabetes epidemic: a hidden menace. The Medical Journal of Australia. 175(2). 65–66. 3 indexed citations
19.
Harvey, Alan R., et al.. (1987). Fetal tectal or cortical tissue transplanted into brachial lesion cavities in rats: Influence on the regrowth of host retinal axons. The Journal of Comparative Neurology. 263(1). 126–136. 24 indexed citations
20.
Gan, Seng Khee & Alan R. Harvey. (1986). Lack of ingrowth of retinal axons into the visually deafferented superior colliculus in young rats: a horseradish peroxidase study. Neuroscience Letters. 70(1). 10–16. 8 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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