J. Turinsky

899 total citations
36 papers, 760 citations indexed

About

J. Turinsky is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, J. Turinsky has authored 36 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 14 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in J. Turinsky's work include Burn Injury Management and Outcomes (10 papers), Adipose Tissue and Metabolism (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). J. Turinsky is often cited by papers focused on Burn Injury Management and Outcomes (10 papers), Adipose Tissue and Metabolism (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). J. Turinsky collaborates with scholars based in United States and France. J. Turinsky's co-authors include David O’Sullivan, David M. O’Sullivan, Terry Smith, Jeffrey S. Elmendorf, Robert E. Shangraw, C.L. Long, Henry A. Sloviter, B Mukherji, Steven Patterson and Leland D. Loose and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

J. Turinsky

35 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Turinsky United States 16 387 296 194 144 107 36 760
L Hellström Sweden 12 244 0.6× 727 2.5× 274 1.4× 163 1.1× 154 1.4× 18 1.2k
William J. Carter United States 12 494 1.3× 235 0.8× 66 0.3× 142 1.0× 155 1.4× 20 856
K. M. Burleigh Australia 8 343 0.9× 577 1.9× 119 0.6× 180 1.3× 186 1.7× 8 867
A. F. Burnol France 12 282 0.7× 453 1.5× 110 0.6× 140 1.0× 140 1.3× 16 879
G. J. Cooney Australia 7 241 0.6× 344 1.2× 117 0.6× 84 0.6× 63 0.6× 10 588
Robert J. Southgate Australia 8 441 1.1× 536 1.8× 175 0.9× 214 1.5× 61 0.6× 8 868
B. Ahlman Sweden 14 254 0.7× 274 0.9× 81 0.4× 140 1.0× 43 0.4× 21 660
Margaret E. Griffin United States 3 440 1.1× 553 1.9× 274 1.4× 134 0.9× 251 2.3× 4 985
Puntip Tantiwong United States 14 455 1.2× 473 1.6× 353 1.8× 80 0.6× 149 1.4× 18 1.0k
Luis F. Del Aguila United States 7 219 0.6× 380 1.3× 189 1.0× 172 1.2× 117 1.1× 7 717

Countries citing papers authored by J. Turinsky

Since Specialization
Citations

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

Fields of papers citing papers by J. Turinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Turinsky

This figure shows the co-authorship network connecting the top 25 collaborators of J. Turinsky. A scholar is included among the top collaborators of J. Turinsky 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 J. Turinsky. J. Turinsky 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.
Turinsky, J., et al.. (1997). Effect of monensin on 2-deoxyglucose uptake, the insulin receptor and phosphatidylinositol 3-kinase activity in rat muscle. Journal of Endocrinology. 154(1). 85–93. 1 indexed citations
2.
Elmendorf, Jeffrey S., et al.. (1997). Phosphatidylinositol 3-kinase and dynamics of insulin resistance in denervated slow and fast muscles in vivo. American Journal of Physiology-Endocrinology and Metabolism. 272(4). E661–E670. 20 indexed citations
3.
Elmendorf, Jeffrey S., et al.. (1995). Insulin-Stimulated Phosphatidylinositol 3-Kinase Activity and 2-Deoxy-D-Glucose Uptake in Rat Skeletal Muscles. Biochemical and Biophysical Research Communications. 208(3). 1147–1153. 25 indexed citations
4.
Turinsky, J. & C.L. Long. (1990). Free amino acids in muscle: effect of muscle fiber population and denervation. American Journal of Physiology-Endocrinology and Metabolism. 258(3). E485–E491. 31 indexed citations
5.
Turinsky, J.. (1987). Dynamics of insulin resistance in denervated slow and fast muscles in vivo. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 252(3). R531–R537. 27 indexed citations
6.
Turinsky, J.. (1986). Phospholipids, prostaglandin E2, and proteolysis in denervated muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 251(1). R165–R173. 12 indexed citations
7.
Turinsky, J. & I. H. Chaudry. (1985). Phospholipid and adenine nucleotide metabolism in muscle after burn injury. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 249(5). R603–R610. 1 indexed citations
8.
Turinsky, J.. (1982). Regional differences in in vivo skeletal muscle responsiveness to insulin after burn injury. Experimental and Molecular Pathology. 37(2). 217–224. 2 indexed citations
9.
Turinsky, J., et al.. (1981). Impaired mineral metabolism in postburn muscle.. PubMed. 21(6). 417–23. 10 indexed citations
10.
Turinsky, J., et al.. (1981). Local effect of thermal injury on skeletal muscle blood flow and nucleotide levels.. PubMed. 8(1). 31–40. 13 indexed citations
11.
Shangraw, Robert E. & J. Turinsky. (1980). Effects of leucine on thermally-injured skeletal muscle. 23(4). 2 indexed citations
12.
Turinsky, J., Leland D. Loose, Steven Patterson, & William A. Scovill. (1980). The role of hypothermia in gluconeogenesis and sensitivity to insulin after burns. Burns. 6(4). 222–227. 1 indexed citations
13.
Turinsky, J., Leland D. Loose, & T. M. Saba. (1979). A temporal comparison of post-burn rebound hyperopsonaemia with endocrine parameters. Burns. 6(2). 114–118. 3 indexed citations
14.
Turinsky, J. & Robert E. Shangraw. (1979). Biphasic alterations in glucose metabolism by soleus muscle from the burned limb.. PubMed. 2. 23–30. 15 indexed citations
15.
Shangraw, Robert E. & J. Turinsky. (1979). Local effect of burn injury on glucose and amino acid metabolism by skeletal muscle. Journal of Parenteral and Enteral Nutrition. 3(5). 323–327. 13 indexed citations
16.
Feman, Stephen S., J. Turinsky, & Kwok‐Wai Lam. (1978). The Insulin Concentration in Human Ocular Fluids. American Journal of Ophthalmology. 85(3). 387–391. 5 indexed citations
17.
Turinsky, J.. (1974). Effect of Ganglionic Blocking Agents Chlorisondamine and Mecamylamine on Glucose Metabolism and Serum Insulin in the Rat. Experimental Biology and Medicine. 145(1). 25–31. 3 indexed citations
18.
Turinsky, J.. (1973). Study on Plasma Cyclic Nucleotide Concentrations in Fasting Rats. Experimental Biology and Medicine. 142(4). 1189–1191. 9 indexed citations
19.
Turinsky, J., B Mukherji, & Henry A. Sloviter. (1971). EFFECTS OF INDUCED HYPOTHERMIA ON AMINO ACIDS AND GLYCOGEN IN RAT BRAIN1. Journal of Neurochemistry. 18(2). 233–235. 19 indexed citations
20.
Turinsky, J., et al.. (1970). Metabolic changes during 24 hours' fasting in hypophysectomized and adrenalectomized rats.. PubMed. 19(1). 153–61. 1 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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