Tracy Goh

12 papers receiving 610 citations

Peers

Tracy Goh
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 133
  • Physiology 174
  • Cell Biology 105
  • Geriatrics and Gerontology 18
  • Biochemistry 35
Replace Neehar Gupta with:
Neehar Gupta Canada
Georgia Frangioudakis Australia
Yuichi Kawano Sweden
Victoria L. Tokarz Canada
Gina M. Butrico United States
Melissa J. Longacre United States
Jianmin Han United States
Nadja Schulz Germany
Andreas B. Jordy Denmark
Lauren Reese United States
Tracy Goh relative to Neehar Gupta Canada Neehar Gupta's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tracy Goh

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003190
2 1999143
3 199999
4
Direct measure of insulin sensitivity with the hyperinsulinemic-euglycemic clamp and surrogate measures of insulin sensitivity with the oral glucose tolerance test: correlations with aberrant crypt foci promotion in rats.
200359
5 200642
6 201230
7 200628
8 200018
9 20028
10 20027
11 20065
12
Direct Measure of Insulin Sensitivity with the Hyperinsulinemic-Euglycemic Clamp and Surrogate Measures of Insulin Sensitivity with the Oral Glucose Tolerance Test
20034

About Tracy Goh

Tracy Goh is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Physiology, having authored 12 papers that have together received 633 indexed citations. Recurring topics across this work include Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (5 papers), Diabetes Management and Research (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (133 citations), Physiology (174 citations), Cell Biology (105 citations), Geriatrics and Gerontology (18 citations) and Biochemistry (35 citations). Tracy Goh has collaborated with scholars based in Canada, Germany and Switzerland. Frequent co-authors include Adria Giacca, Neehar Gupta, Tony K.T. Lam, Timothy M. Mason, Gary F. Lewis, C. Andrew Haber, Zhiwen Yu, I. George Fantus, Elena Bogdanovic and Harmanjit Sandhu. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Endocrinology, Philosophical Transactions of the Royal Society B Biological Sciences and Journal of 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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