Stephen P. Ashcroft

794 total citations · 1 hit paper
15 papers, 430 citations indexed

About

Stephen P. Ashcroft is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Stephen P. Ashcroft has authored 15 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 6 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Stephen P. Ashcroft's work include Adipose Tissue and Metabolism (10 papers), Muscle metabolism and nutrition (6 papers) and Exercise and Physiological Responses (4 papers). Stephen P. Ashcroft is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Muscle metabolism and nutrition (6 papers) and Exercise and Physiological Responses (4 papers). Stephen P. Ashcroft collaborates with scholars based in United Kingdom, Sweden and Denmark. Stephen P. Ashcroft's co-authors include Andrew Philp, Ben Stocks, Juleen R. Zierath, Philip J. Atherton, Abid A. Kazi, Joseph J. Bass, Brendan Egan, Kenneth Smith, Amy M. Ehrlich and Daniel J. Wilkinson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Cell Metabolism.

In The Last Decade

Stephen P. Ashcroft

15 papers receiving 427 citations

Hit Papers

Exercise induces tissue-specific adaptations to enhance c... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen P. Ashcroft United Kingdom 11 255 119 103 64 60 15 430
Ran Uchitomi Japan 6 275 1.1× 161 1.4× 129 1.3× 33 0.5× 37 0.6× 10 428
Nobumasa Iwanaka Japan 10 221 0.9× 225 1.9× 116 1.1× 53 0.8× 21 0.3× 12 451
Marina Bar‐Shai Israel 11 176 0.7× 224 1.9× 52 0.5× 112 1.8× 29 0.5× 14 456
Marie‐Soleil Beaudoin Canada 12 265 1.0× 174 1.5× 59 0.6× 54 0.8× 22 0.4× 15 470
Hyun Seok Bang South Korea 8 167 0.7× 88 0.7× 61 0.6× 53 0.8× 17 0.3× 18 315
Ayhan Korkmaz Finland 13 129 0.5× 142 1.2× 56 0.5× 48 0.8× 37 0.6× 22 398
Paulette Rousset France 14 453 1.8× 217 1.8× 230 2.2× 43 0.7× 25 0.4× 24 663
Antigoni Z. Lalia United States 9 283 1.1× 168 1.4× 115 1.1× 31 0.5× 20 0.3× 11 537
Mustafa Ozdemir United States 8 222 0.9× 180 1.5× 109 1.1× 223 3.5× 23 0.4× 10 587
P. R. Ramires Brazil 11 182 0.7× 139 1.2× 53 0.5× 97 1.5× 31 0.5× 21 440

Countries citing papers authored by Stephen P. Ashcroft

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Ashcroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Ashcroft. 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 Stephen P. Ashcroft. The network helps show where Stephen P. Ashcroft may publish in the future.

Co-authorship network of co-authors of Stephen P. Ashcroft

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

All Works

15 of 15 papers shown
1.
Ehrlich, Amy M., Stephen P. Ashcroft, Lewin Small, et al.. (2025). HIF1α mediates circadian regulation of skeletal muscle metabolism and substrate preference in response to time-of-day exercise. Proceedings of the National Academy of Sciences. 122(28). e2504080122–e2504080122. 1 indexed citations
2.
Ashcroft, Stephen P., Amy M. Ehrlich, Jonas T. Treebak, et al.. (2024). Metabolic plasticity and obesity-associated changes in diurnal postexercise metabolism in mice. Metabolism. 155. 155834–155834. 7 indexed citations
3.
Ashcroft, Stephen P., Ben Stocks, Brendan Egan, & Juleen R. Zierath. (2024). Exercise induces tissue-specific adaptations to enhance cardiometabolic health. Cell Metabolism. 36(2). 278–300. 51 indexed citations breakdown →
4.
Ashcroft, Stephen P., Sara L. Jepsen, Amy M. Ehrlich, et al.. (2023). Protocol to assess arteriovenous differences across the liver and hindlimb muscles in mice following treadmill exercise. STAR Protocols. 4(1). 101985–101985. 1 indexed citations
5.
Lundell, L, Amy M. Ehrlich, Stephen P. Ashcroft, et al.. (2023). Time of day determines postexercise metabolism in mouse adipose tissue. Proceedings of the National Academy of Sciences. 120(8). e2218510120–e2218510120. 20 indexed citations
6.
Small, Lewin, Amy M. Ehrlich, Stephen P. Ashcroft, et al.. (2022). Comparative analysis of oral and intraperitoneal glucose tolerance tests in mice. Molecular Metabolism. 57. 101440–101440. 53 indexed citations
7.
Ashcroft, Stephen P., G. T. Fletcher, Ashleigh M. Philp, et al.. (2021). Diet-induced vitamin D deficiency reduces skeletal muscle mitochondrial respiration. Journal of Endocrinology. 249(2). 113–124. 17 indexed citations
8.
Stocks, Ben, Stephen P. Ashcroft, Sophie Joanisse, et al.. (2021). Nicotinamide riboside supplementation does not alter whole‐body or skeletal muscle metabolic responses to a single bout of endurance exercise. The Journal of Physiology. 599(5). 1513–1531. 36 indexed citations
9.
Ashcroft, Stephen P., Joseph J. Bass, Abid A. Kazi, Philip J. Atherton, & Andrew Philp. (2020). The vitamin D receptor regulates mitochondrial function in C2C12 myoblasts. American Journal of Physiology-Cell Physiology. 318(3). C536–C541. 51 indexed citations
10.
Bass, Joseph J., Abid A. Kazi, Colleen S. Deane, et al.. (2020). The mechanisms of skeletal muscle atrophy in response to transient knockdown of the vitamin D receptor in vivo. The Journal of Physiology. 599(3). 963–979. 45 indexed citations
11.
Joanisse, Sophie, Stephen P. Ashcroft, Daniel J. Wilkinson, et al.. (2020). High Levels of Physical Activity in Later Life Are Associated With Enhanced Markers of Mitochondrial Metabolism. The Journals of Gerontology Series A. 75(8). 1481–1487. 15 indexed citations
12.
Wilkinson, Daniel J., Tanvir Hossain, Marie C. Limb, et al.. (2017). Impact of the calcium form of β-hydroxy-β-methylbutyrate upon human skeletal muscle protein metabolism. Clinical Nutrition. 37(6). 2068–2075. 52 indexed citations
13.
Jeromson, Stewart, Mary K. Doherty, Phillip D. Whitfield, et al.. (2017). Lipid remodeling and an altered membrane-associated proteome may drive the differential effects of EPA and DHA treatment on skeletal muscle glucose uptake and protein accretion. American Journal of Physiology-Endocrinology and Metabolism. 314(6). E605–E619. 36 indexed citations
14.
Ashcroft, Stephen P., et al.. (2015). Utilizing small nutrient compounds as enhancers of exercise-induced mitochondrial biogenesis. Frontiers in Physiology. 6. 296–296. 35 indexed citations
15.
Ročić, Boris, et al.. (2007). Effect of Creatine on the Pancreatic ß-Cell. Experimental and Clinical Endocrinology & Diabetes. 115(1). 29–32. 10 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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