Roger Stanworth

600 total citations
9 papers, 479 citations indexed

About

Roger Stanworth is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Cell Biology. According to data from OpenAlex, Roger Stanworth has authored 9 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Pharmacology and 4 papers in Cell Biology. Recurrent topics in Roger Stanworth's work include Hormonal and reproductive studies (8 papers), Pharmacology and Obesity Treatment (6 papers) and Muscle metabolism and nutrition (4 papers). Roger Stanworth is often cited by papers focused on Hormonal and reproductive studies (8 papers), Pharmacology and Obesity Treatment (6 papers) and Muscle metabolism and nutrition (4 papers). Roger Stanworth collaborates with scholars based in United Kingdom. Roger Stanworth's co-authors include T. Hugh Jones, Kevin S. Channer, Dheeraj Kapoor, Suzanne Clarke, T. Hugh Jones, T Hugh Jones and Alastair J. Glossop and has published in prestigious journals such as Diabetes Care, Clinical Endocrinology and European Journal of Endocrinology.

In The Last Decade

Roger Stanworth

8 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger Stanworth United Kingdom 6 406 179 125 106 65 9 479
Vakkat Muraleedharan United Kingdom 8 524 1.3× 230 1.3× 139 1.1× 100 0.9× 81 1.2× 15 639
Svetlana Kalinchenko Russia 5 490 1.2× 253 1.4× 119 1.0× 107 1.0× 109 1.7× 38 590
Karim Sultan Haider Germany 13 561 1.4× 289 1.6× 142 1.1× 136 1.3× 83 1.3× 39 677
V. Christov Bulgaria 7 359 0.9× 176 1.0× 55 0.4× 88 0.8× 64 1.0× 14 411
Emily G. Kurtz United States 4 397 1.0× 144 0.8× 147 1.2× 56 0.5× 104 1.6× 6 542
Monica Caliber United States 7 321 0.8× 158 0.9× 90 0.7× 82 0.8× 52 0.8× 8 375
M. L. Lee United States 3 542 1.3× 213 1.2× 205 1.6× 118 1.1× 99 1.5× 3 623
Gretchen R. Esche United States 7 635 1.6× 264 1.5× 235 1.9× 168 1.6× 172 2.6× 11 885
Julie L. Sharpless United States 10 412 1.0× 106 0.6× 116 0.9× 29 0.3× 159 2.4× 14 589
Zhivka Boneva Bulgaria 3 284 0.7× 164 0.9× 51 0.4× 80 0.8× 59 0.9× 6 316

Countries citing papers authored by Roger Stanworth

Since Specialization
Citations

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

Fields of papers citing papers by Roger Stanworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger Stanworth

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

All Works

9 of 9 papers shown
2.
Stanworth, Roger, Dheeraj Kapoor, Kevin S. Channer, & T. Hugh Jones. (2011). Dyslipidaemia is associated with testosterone, oestradiol and androgen receptor CAG repeat polymorphism in men with type 2 diabetes. Clinical Endocrinology. 74(5). 624–630. 37 indexed citations
3.
Glossop, Alastair J., et al.. (2011). Controversies and pitfalls in the management of hyperglycaemic crises in critically ill diabetic patients. Trends in Anaesthesia and Critical Care. 2(1). 10–14.
4.
Stanworth, Roger, Dheeraj Kapoor, Kevin S. Channer, & T. Hugh Jones. (2008). Androgen receptor CAG repeat polymorphism is associated with serum testosterone levels, obesity and serum leptin in men with type 2 diabetes. European Journal of Endocrinology. 159(6). 739–746. 67 indexed citations
5.
Stanworth, Roger & T. Hugh Jones. (2008). Testosterone in Obesity, Metabolic Syndrome and Type 2 Diabetes. Frontiers of hormone research. 37. 74–90. 92 indexed citations
6.
Stanworth, Roger, Dheeraj Kapoor, Kevin S. Channer, & T. Hugh Jones. (2008). Statin Therapy Is Associated With Lower Total but Not Bioavailable or Free Testosterone in Men With Type 2 Diabetes. Diabetes Care. 32(4). 541–546. 62 indexed citations
7.
Stanworth, Roger, Dheeraj Kapoor, Kevin S. Channer, & T Hugh Jones. (2007). Use of atorvastatin, but not simvastatin in men with Type 2 diabetes is associated with lower total testosterone levels with no effect on bioavailable or free testosterone. 14. 2 indexed citations
8.
Stanworth, Roger, Dheeraj Kapoor, Kevin S. Channer, & T Hugh Jones. (2007). HDL cholesterol levels are positively associated with testosterone and are lower with shorter androgen receptor CAG repeat lengths in men with Type 2 diabetes. 13. 2 indexed citations
9.
Kapoor, Dheeraj, Suzanne Clarke, Roger Stanworth, Kevin S. Channer, & T. Hugh Jones. (2007). The effect of testosterone replacement therapy on adipocytokines and C-reactive protein in hypogonadal men with type 2 diabetes. European Journal of Endocrinology. 156(5). 595–602. 198 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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