I. K. Martin

904 total citations
17 papers, 715 citations indexed

About

I. K. Martin is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, I. K. Martin has authored 17 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Cell Biology. Recurrent topics in I. K. Martin's work include Muscle metabolism and nutrition (6 papers), Diet and metabolism studies (5 papers) and Adipose Tissue and Metabolism (5 papers). I. K. Martin is often cited by papers focused on Muscle metabolism and nutrition (6 papers), Diet and metabolism studies (5 papers) and Adipose Tissue and Metabolism (5 papers). I. K. Martin collaborates with scholars based in Australia, Sweden and United Kingdom. I. K. Martin's co-authors include Mark A. Febbraio, Michael Carey, Abram Katz, J. Wahren, Rod J. Snow, Mark Hargreaves, Christos G. Stathis, James D. Best, F. P. Alford and D. Wile and has published in prestigious journals such as Diabetes, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

I. K. Martin

17 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I. K. Martin Australia	10	399	221	188	159	138	17	715
P. Berthon France	17	311 0.8×	136 0.6×	218 1.2×	166 1.0×	240 1.7×	30	718
Carole Lavoie Canada	15	400 1.0×	152 0.7×	263 1.4×	177 1.1×	63 0.5×	27	676
E. C. Fisher United States	8	409 1.0×	94 0.4×	266 1.4×	85 0.5×	105 0.8×	10	719
S. E. Campbell Australia	6	217 0.5×	110 0.5×	195 1.0×	125 0.8×	158 1.1×	7	547
J. Proietto Australia	14	307 0.8×	103 0.5×	329 1.8×	106 0.7×	199 1.4×	25	862
Isabelle Harant France	18	606 1.5×	133 0.6×	267 1.4×	80 0.5×	119 0.9×	27	877
D. P. Bracy United States	14	345 0.9×	142 0.6×	263 1.4×	50 0.3×	178 1.3×	24	602
Rita J. Louard United States	9	385 1.0×	230 1.0×	428 2.3×	51 0.3×	198 1.4×	11	765
James S. Reitman United States	9	265 0.7×	98 0.4×	256 1.4×	72 0.5×	134 1.0×	12	740
J. Manetta France	15	227 0.6×	126 0.6×	232 1.2×	89 0.6×	55 0.4×	23	626

Countries citing papers authored by I. K. Martin

Since Specialization

Citations

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

Fields of papers citing papers by I. K. Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. K. Martin. 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 I. K. Martin. The network helps show where I. K. Martin may publish in the future.

Co-authorship network of co-authors of I. K. Martin

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

All Works

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17 of 17 papers shown

Martin, I. K., et al.. (2001). An audit of 500 subcutaneous glucagon stimulation tests to assess growth hormone and ACTH secretion in patients with hypothalamic–pituitary disease. Clinical Endocrinology. 54(4). 463–468. 118 indexed citations

Carey, Michael, et al.. (1997). Muscle glycogen storage following prolonged exercise: effect of timing of ingestion of high glycemic index food. Medicine & Science in Sports & Exercise. 29(2). 220–224. 50 indexed citations

Nolte, Lorraine A., Samy M. Abdel‐Halim, I. K. Martin, et al.. (1995). Development of Decreased Insulin-Induced Glucose Transport in Skeletal Muscle of Glucose-Intolerant Hybrids of Diabetic GK Rats. Clinical Science. 88(3). 301–306. 9 indexed citations

Martin, I. K., Abram Katz, & J. Wahren. (1995). Splanchnic and muscle metabolism during exercise in NIDDM patients. American Journal of Physiology-Endocrinology and Metabolism. 269(3). E583–E590. 114 indexed citations

Febbraio, Mark A., Rod J. Snow, Mark Hargreaves, et al.. (1994). Muscle metabolism during exercise and heat stress in trained men: effect of acclimation. Journal of Applied Physiology. 76(2). 589–597. 196 indexed citations

Nolte, Lorraine A., Dana Galuska, I. K. Martin, Juleen R. Zierath, & Harriet Wallberg‐Henriksson. (1994). Elevated free fatty acid levels inhibit glucose phosphorylation in slow‐twitch rat skeletal muscle. Acta Physiologica Scandinavica. 151(1). 51–59. 27 indexed citations

Martin, I. K. & John Wahren. (1993). Glucose Metabolism During Physical Exercise in Patients with Noninsulin-Dependent (Type II) Diabetes. Advances in experimental medicine and biology. 334. 221–233. 6 indexed citations

Sleeman, Mark W., Michael Christopher, I. K. Martin, et al.. (1992). Effects of Acute and Chronic Counterregulatory Hormone Infusions on Glucose Tolerance and Insulin Sensitivity in Diabetic Dogs. Diabetes. 41(11). 1446–1452. 5 indexed citations

Ward, Glenn M., Richard G. Pestell, Allan Vaag, et al.. (1992). A Simple Method for Quantitation of Insulin Sensitivity and Insulin Release from an Intravenous Glucose Tolerance Test. Diabetic Medicine. 9(10). 921–928. 95 indexed citations

10.

Martin, I. K., Michael Christopher, F. P. Alford, & James D. Best. (1991). Distinct but nonadditive effects of epinephrine and cortisol on determinants of glucose tolerance in dogs. American Journal of Physiology-Endocrinology and Metabolism. 260(1). E148–E153. 5 indexed citations

11.

Martin, I. K., K. M. Weber, Glenn M. Ward, James D. Best, & Raymond C. Boston. (1990). Application of the SAAM modeling program to minimal model analysis of intravenous glucose tolerance test data. Computer Methods and Programs in Biomedicine. 33(4). 193–203. 15 indexed citations

12.

Weber, K. M., I. K. Martin, James D. Best, F. P. Alford, & R.C. Boston. (1989). Alternative method for minimal model analysis of intravenous glucose tolerance data. American Journal of Physiology-Endocrinology and Metabolism. 256(4). E524–E535. 22 indexed citations

13.

Crock, Patricia, et al.. (1988). Hormonal and Metabolic Changes During Hypothermic Coronary Artery Bypass Surgery in Diabetic and Non‐diabetic Subjects. Diabetic Medicine. 5(1). 47–52. 5 indexed citations

14.

Martin, I. K. & Ian R. McDonald. (1988). Metabolic actions of cortisol in a macropodid marsupial Thylogale billardierii. Journal of Endocrinology. 116(1). 71–79. 1 indexed citations

15.

Martin, I. K., K. M. Weber, R.C. Boston, F. P. Alford, & James D. Best. (1988). Effects of epinephrine infusion on determinants of intravenous glucose tolerance in dogs. American Journal of Physiology-Endocrinology and Metabolism. 255(5). E668–E673. 29 indexed citations

16.

Martin, I. K. & Ian R. McDonald. (1986). Adrenocortical functions in a macropodid marsupial Thylogale billardierii. Journal of Endocrinology. 110(3). 471–480. 9 indexed citations

17.

Martin, I. K., et al.. (1982). Effects of pancreatectomy, tolbutamide and insulin on glucose fluxes in chickens. Journal of Endocrinology. 94(3). 429–441. 9 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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