T. G. Ramsay

466 total citations
12 papers, 400 citations indexed

About

T. G. Ramsay is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, T. G. Ramsay has authored 12 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Epidemiology. Recurrent topics in T. G. Ramsay's work include Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). T. G. Ramsay is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). T. G. Ramsay collaborates with scholars based in United States. T. G. Ramsay's co-authors include Robert R. Kraeling, George B. Rampacek, C.R. Barb, Xiaolang Yan, Margaret White, M. J. Azain, Michael E. White, Jodie Y. Duffy, Dorothy B. Hausman and Gary Hausman and has published in prestigious journals such as Endocrinology, Journal of Nutrition and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

T. G. Ramsay

12 papers receiving 378 citations

Peers

T. G. Ramsay

PHYSI

EAS

ND

EPIDE

ASZ

Xiaolang Yan Australia

Sanggun Roh Japan

N Raver Israel

Yang-Ho Choi United States

Yohei Kurose Japan

R.G. Dean United States

Stéphanie Coyral-Castel France

Sofie Geelissen Belgium

Eric L. Rickes United States

Masaharu Horino Japan

Xiaolang Yan Australia

T. G. Ramsay

160 ×0.8

PHYSI

226 ×1.2

EAS

151 ×1.2

ND

73 ×0.7

EPIDE

88 ×0.9

ASZ

Citations per year, relative to T. G. Ramsay T. G. Ramsay (= 1×) peers Xiaolang Yan

Countries citing papers authored by T. G. Ramsay

Since Specialization

Citations

This map shows the geographic impact of T. G. Ramsay'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 T. G. Ramsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. G. Ramsay more than expected).

Fields of papers citing papers by T. G. Ramsay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. G. Ramsay. 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 T. G. Ramsay. The network helps show where T. G. Ramsay may publish in the future.

Co-authorship network of co-authors of T. G. Ramsay

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

All Works

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12 of 12 papers shown

1.

Ramsay, T. G.. (2001). Porcine leptin alters insulin inhibition of lipolysis in porcine adipocytes in vitro.. Journal of Animal Science. 79(3). 653–653. 41 indexed citations

2.

Ramsay, T. G. & Margaret White. (2000). Insulin regulation of leptin expression in streptozotocin diabetic pigs.. Journal of Animal Science. 78(6). 1497–1497. 19 indexed citations

3.

Azain, M. J., et al.. (2000). Somatotropin and adipose tissue metabolism: substrate and temporal effects.. Journal of Animal Science. 78(5). 1236–1236. 16 indexed citations

4.

Barb, C.R., et al.. (1998). Recombinant Porcine Leptin Reduces Feed Intake and Stimulates Growth Hormone Secretion in Swine. Domestic Animal Endocrinology. 15(1). 77–86. 180 indexed citations

5.

Ramsay, T. G., et al.. (1995). The onset of maternal diabetes in swine induces alterations in the development of the fetal preadipocyte.. Journal of Animal Science. 73(1). 69–69. 14 indexed citations

6.

Ramsay, T. G., et al.. (1994). Developmental changes in serum IGF-1 and IGFBP levels and liver IGFBP-3 mRNA expression in intrauterine growth-retarded and control swine. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 108(3). 337–347. 7 indexed citations

7.

Ramsay, T. G., et al.. (1992). In Vitro Systems for the Analysis of the Development of Adipose Tissue in Domestic Animals , ,. Journal of Nutrition. 122(3 Suppl). 806–817. 26 indexed citations

8.

Azain, M. J., et al.. (1992). Influence of somatotropin on lipid metabolism and IGF gene expression in porcine adipose tissue. American Journal of Physiology-Endocrinology and Metabolism. 263(4). E637–E645. 28 indexed citations

9.

White, Margaret, et al.. (1991). Effect of maternal fasting on fetal and placental lipid metabolism in swine. Journal of Animal Science. 69(5). 1935–1944. 18 indexed citations

10.

White, Michael E., et al.. (1990). Comparison of the Effects of Dietary Glucose Versus Galactose on Porcine Feto-Placental Glucose Metabolism. Journal of Nutrition. 120(10). 1241–1247. 4 indexed citations

11.

Ramsay, T. G., et al.. (1989). Alterations in Adipogenic and Mitogenic Activity of Porcine Serum in Response to Hypophysectomy*. Endocrinology. 124(5). 2268–2276. 15 indexed citations

12.

Ramsay, T. G., et al.. (1989). Glucocorticoids and the Differentiation of Porcine Preadipocytes4. Journal of Animal Science. 67(9). 2222–2229. 32 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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