Adam P. Sharples

3.6k total citations · 1 hit paper
59 papers, 2.3k citations indexed

About

Adam P. Sharples is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Adam P. Sharples has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Physiology, 38 papers in Molecular Biology and 25 papers in Cell Biology. Recurrent topics in Adam P. Sharples's work include Adipose Tissue and Metabolism (33 papers), Muscle Physiology and Disorders (29 papers) and Muscle metabolism and nutrition (24 papers). Adam P. Sharples is often cited by papers focused on Adipose Tissue and Metabolism (33 papers), Muscle Physiology and Disorders (29 papers) and Muscle metabolism and nutrition (24 papers). Adam P. Sharples collaborates with scholars based in United Kingdom, Norway and United States. Adam P. Sharples's co-authors include Claire E. Stewart, Robert A. Seaborne, David C. Hughes, Brendan Egan, James P. Morton, Daniel C. Turner, Nasser Al‐Shanti, Mark P. Lewis, Sam O. Shepherd and Amarjit Saini and has published in prestigious journals such as Physiological Reviews, Biomaterials and The Journal of Physiology.

In The Last Decade

Adam P. Sharples

58 papers receiving 2.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular responses to acute exercise and their relevance for adaptations in skeletal muscle to exercise training

2022 131 citations Adam P. Sharples et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam P. Sharples United Kingdom	30	1.2k	1.1k	700	358	259	59	2.3k
Bryon R. McKay Canada	22	1.3k 1.0×	799 0.7×	654 0.9×	555 1.6×	126 0.5×	36	2.0k
Gustavo A. Nader United States	28	1.6k 1.3×	850 0.7×	696 1.0×	485 1.4×	207 0.8×	49	2.7k
Michael De Lisio Canada	25	845 0.7×	737 0.6×	510 0.7×	470 1.3×	139 0.5×	84	2.0k
Ulrika Raue United States	26	1.4k 1.1×	1.2k 1.1×	910 1.3×	735 2.1×	199 0.8×	41	2.6k
Sophie Joanisse Canada	22	927 0.7×	768 0.7×	579 0.8×	379 1.1×	94 0.4×	41	1.6k
Joshua P. Nederveen Canada	23	1.0k 0.8×	794 0.7×	477 0.7×	380 1.1×	103 0.4×	53	1.7k
Vandré C. Figueiredo United States	23	963 0.8×	620 0.5×	530 0.8×	461 1.3×	144 0.6×	55	1.8k
Emidio E. Pistilli United States	29	1.5k 1.2×	944 0.8×	388 0.6×	477 1.3×	154 0.6×	58	2.2k
Yoshinobu Ohira Japan	27	1.0k 0.8×	881 0.8×	476 0.7×	493 1.4×	101 0.4×	68	2.0k
Nathalie Koulmann France	23	909 0.7×	897 0.8×	437 0.6×	367 1.0×	228 0.9×	81	1.9k

Countries citing papers authored by Adam P. Sharples

Since Specialization

Citations

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

Fields of papers citing papers by Adam P. Sharples

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam P. Sharples

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

All Works

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20 of 20 papers shown

Baehr, Leslie M., Luís Gustavo Oliveira de Sousa, Craig A. Goodman, et al.. (2025). Response of UBR-box E3 ubiquitin ligases and protein quality control pathways to perturbations in protein synthesis and skeletal muscle size. American Journal of Physiology-Cell Physiology. 329(6). C1706–C1722.

Hulmi, Juha J., Adam P. Sharples, Thomas M. O’Connell, et al.. (2025). Human skeletal muscle possesses both reversible proteomic signatures and a retained proteomic memory after repeated resistance training. The Journal of Physiology. 603(9). 2655–2673. 4 indexed citations

Turner, Daniel C., et al.. (2023). Human skeletal muscle methylome after low-carbohydrate energy-balanced exercise. American Journal of Physiology-Endocrinology and Metabolism. 324(5). E437–E448. 10 indexed citations

Turner, Daniel C., Adam P. Sharples, Riikka Kivelä, et al.. (2023). Mimicking exercise in vitro: effects of myotube contractions and mechanical stretch on omics. American Journal of Physiology-Cell Physiology. 324(4). C886–C892. 7 indexed citations

Nilsen, Tormod S., Sebastian Imre Sarvari, Kristin V. Reinertsen, et al.. (2023). Effects of Aerobic Exercise on Cardiorespiratory Fitness, Cardiovascular Risk Factors, and Patient-Reported Outcomes in Long-Term Breast Cancer Survivors: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 12. e45244–e45244. 4 indexed citations

Sexton, Casey L., Joshua S. Godwin, Bradley A. Ruple, et al.. (2023). Different Resistance Exercise Loading Paradigms Similarly Affect Skeletal Muscle Gene Expression Patterns of Myostatin-Related Targets and mTORC1 Signaling Markers. Cells. 12(6). 898–898. 14 indexed citations

Turner, Daniel C., Robert A. Seaborne, Mark Murphy, et al.. (2021). Mechanical loading of bioengineered skeletal muscle in vitro recapitulates gene expression signatures of resistance exercise in vivo. Journal of Cellular Physiology. 236(9). 6534–6547. 11 indexed citations

Hughes, David C., Daniel C. Turner, Leslie M. Baehr, et al.. (2020). Knockdown of the E3 ubiquitin ligase UBR5 and its role in skeletal muscle anabolism. American Journal of Physiology-Cell Physiology. 320(1). C45–C56. 26 indexed citations

Seaborne, Robert A., David C. Hughes, Daniel C. Turner, et al.. (2019). UBR5 is a novel E3 ubiquitin ligase involved in skeletal muscle hypertrophy and recovery from atrophy. The Journal of Physiology. 597(14). 3727–3749. 53 indexed citations

10.

Seaborne, Robert A., Juliette A. Strauss, Matthew Cocks, et al.. (2018). Methylome of human skeletal muscle after acute & chronic resistance exercise training, detraining & retraining. Scientific Data. 5(1). 180213–180213. 51 indexed citations

11.

Turner, Daniel C., Andreas Kasper, Robert A. Seaborne, et al.. (2018). Exercising Bioengineered Skeletal Muscle In Vitro: Biopsy to Bioreactor. Methods in molecular biology. 1889. 55–79. 8 indexed citations

12.

Seaborne, Robert A., Juliette A. Strauss, Matthew Cocks, et al.. (2018). Human Skeletal Muscle Possesses an Epigenetic Memory of Hypertrophy. Scientific Reports. 8(1). 1898–1898. 201 indexed citations

13.

Hughes, David C., Robert Allan, Colleen S. Deane, et al.. (2017). The role of resveratrol on skeletal muscle cell differentiation and myotube hypertrophy during glucose restriction. Molecular and Cellular Biochemistry. 444(1-2). 109–123. 30 indexed citations

14.

Player, Darren J., Neil R. W. Martin, Samantha L. Passey, et al.. (2014). Acute mechanical overload increases IGF-I and MMP-9 mRNA in 3D tissue-engineered skeletal muscle. Biotechnology Letters. 36(5). 1113–1124. 32 indexed citations

15.

Deane, Colleen S., David C. Hughes, Nicholas Sculthorpe, et al.. (2013). Impaired hypertrophy in myoblasts is improved with testosterone administration. The Journal of Steroid Biochemistry and Molecular Biology. 138. 152–161. 33 indexed citations

16.

Sharples, Adam P., Nasser Al‐Shanti, David C. Hughes, Mark P. Lewis, & Claire E. Stewart. (2013). The role of insulin-like-growth factor binding protein 2 (IGFBP2) and phosphatase and tensin homologue (PTEN) in the regulation of myoblast differentiation and hypertrophy. Growth Hormone & IGF Research. 23(3). 53–61. 32 indexed citations

17.

Sharples, Adam P., Darren J. Player, Neil R. W. Martin, et al.. (2012). Modelling in vivo skeletal muscle ageing in vitro using three‐dimensional bioengineered constructs. Aging Cell. 11(6). 986–995. 59 indexed citations

18.

Player, Darren J., et al.. (2011). A Putative Model of Endurance Exercise Using Bio-Engineered Skeletal Muscle. Proceedings of The Physiological Society. 1 indexed citations

19.

Saini, Amarjit, Nasser Al‐Shanti, Adam P. Sharples, & Claire E. Stewart. (2011). Sirtuin 1 regulates skeletal myoblast survival and enhances differentiation in the presence of resveratrol. Experimental Physiology. 97(3). 400–418. 39 indexed citations

20.

Sharples, Adam P. & Claire E. Stewart. (2011). Myoblast models of skeletal muscle hypertrophy and atrophy. Current Opinion in Clinical Nutrition & Metabolic Care. 14(3). 230–236. 35 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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