Stanley Salmons

7.2k total citations · 3 hit papers
126 papers, 5.6k citations indexed

About

Stanley Salmons is a scholar working on Biomedical Engineering, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stanley Salmons has authored 126 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Biomedical Engineering, 49 papers in Molecular Biology and 40 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stanley Salmons's work include Muscle activation and electromyography studies (47 papers), Muscle Physiology and Disorders (42 papers) and Cardiomyopathy and Myosin Studies (28 papers). Stanley Salmons is often cited by papers focused on Muscle activation and electromyography studies (47 papers), Muscle Physiology and Disorders (42 papers) and Cardiomyopathy and Myosin Studies (28 papers). Stanley Salmons collaborates with scholars based in United Kingdom, United States and Austria. Stanley Salmons's co-authors include Jan Henriksson, F. A. Sréter, Gerta Vrbovà, Jonathan C. Jarvis, Hazel Sutherland, Jane Mellor, R. Sanders Williams, Wendy E. Brown, J. Gergely and Robert L. Hammond and has published in prestigious journals such as Nature, Science and The Lancet.

In The Last Decade

Stanley Salmons

123 papers receiving 5.3k citations

Hit Papers

The adaptive response of skeletal muscle to increased use 1969 2026 1988 2007 1981 1969 1976 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanley Salmons United Kingdom 37 2.5k 2.1k 1.3k 1.0k 1.0k 126 5.6k
Ugo Carraro Italy 43 3.1k 1.3× 1.9k 0.9× 668 0.5× 750 0.7× 1.0k 1.0× 222 5.8k
Lars Edström Sweden 37 2.7k 1.1× 1.3k 0.6× 1.0k 0.8× 269 0.3× 1.1k 1.1× 107 5.2k
Michael H. Brooke United States 35 5.3k 2.1× 1.6k 0.7× 1.5k 1.1× 664 0.6× 1.2k 1.2× 100 8.6k
Peter Tsairis United States 22 1.5k 0.6× 1.6k 0.8× 528 0.4× 1.5k 1.4× 957 0.9× 30 5.4k
Kenneth K. Kaiser United States 26 3.0k 1.2× 1.1k 0.5× 868 0.6× 382 0.4× 686 0.7× 41 5.5k
Luisa Gorza Italy 44 4.1k 1.7× 687 0.3× 2.4k 1.8× 486 0.5× 724 0.7× 93 6.2k
W. King Engel United States 50 4.4k 1.8× 1.0k 0.5× 947 0.7× 731 0.7× 2.5k 2.4× 195 9.1k
Bruce J. Simon United States 43 1.8k 0.7× 1.1k 0.5× 808 0.6× 977 0.9× 1.0k 1.0× 93 5.4k
Maria Antonietta Pellegrino Italy 41 3.3k 1.3× 1.3k 0.6× 1.2k 0.9× 608 0.6× 390 0.4× 78 5.7k
Vincent J. Caiozzo United States 39 1.7k 0.7× 857 0.4× 653 0.5× 616 0.6× 304 0.3× 108 5.1k

Countries citing papers authored by Stanley Salmons

Since Specialization
Citations

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

Fields of papers citing papers by Stanley Salmons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanley Salmons

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Salmons. A scholar is included among the top collaborators of Stanley Salmons 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 Stanley Salmons. Stanley Salmons 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.
Salmons, Stanley. (2009). Adaptive change in electrically stimulated muscle: A framework for the design of clinical protocols. Muscle & Nerve. 40(6). 918–935. 20 indexed citations
2.
Ashley, Zoe, Ewald Unger, Hazel Sutherland, et al.. (2005). Implantable device for long-term electrical stimulation of denervated muscles in rabbits. Medical & Biological Engineering & Computing. 43(4). 535–540. 26 indexed citations
3.
Shortland, Adam, Jonathan C. Jarvis, & Stanley Salmons. (2003). Haemodynamic considerations in the design of a skeletal muscle ventricle. Medical & Biological Engineering & Computing. 41(5). 529–535. 7 indexed citations
4.
Sutherland, Hazel, et al.. (2001). A Fluorescence-Based Method for Measuring Nitric Oxide in Extracts of Skeletal Muscle. Nitric Oxide. 5(5). 475–481. 32 indexed citations
5.
Degens, Hans, et al.. (1997). Intramural Blood Flow of Skeletal Muscle Ventricles Functioning as Aortic Counterpulsators. The Annals of Thoracic Surgery. 64(1). 86–93. 4 indexed citations
6.
Bhabra, Moninder, et al.. (1996). Effects of Cardiomyoplasty on Cardiac Growth in Rats. Journal of Cardiac Surgery. 11(3). 226–233. 1 indexed citations
7.
Shortland, Adam, R.A. Black, Jonathan C. Jarvis, & Stanley Salmons. (1996). A novel video technique for visualizing flow structures in cardiovascular models. Journal of Biomechanics. 29(2). 239–244. 7 indexed citations
9.
Mokrusch, Thomas, et al.. (1996). Fast-to-slow transformation in stimulated rat muscle. Muscle & Nerve. 19(11). 1469–1475. 48 indexed citations
10.
Salmons, Stanley, Jonathan C. Jarvis, M. M., et al.. (1996). Changes in ATP, phosphocreatine, and 16 metabolites in muscle stimulated for up to 96 hours. American Journal of Physiology-Cell Physiology. 271(4). C1167–C1171. 7 indexed citations
11.
Thomas, Gregory A., Susumu Isoda, Robert L. Hammond, et al.. (1996). Pericardium-Lined Skeletal Muscle Ventricles: Up to Two Years' In-Circulation Experience. The Annals of Thoracic Surgery. 62(6). 1698–1706. 11 indexed citations
12.
Pochettino, Alberto, et al.. (1991). Skeletal muscle ventricles.. PubMed. 3(2). 154–9. 7 indexed citations
13.
Pochettino, Alberto, Ali D. Spanta, Robert L. Hammond, et al.. (1990). Skeletal Muscle Ventricles for Total Heart Replacement. Annals of Surgery. 212(3). 345–352. 20 indexed citations
14.
Brown, Jeremy M. C., Jan Henriksson, & Stanley Salmons. (1989). Restoration of fast muscle characteristics following cessation of chronic stimulation: physiological, histochemical and metabolic changes during slow-to-fast transformation. Proceedings of the Royal Society of London. Series B, Biological sciences. 235(1281). 321–346. 56 indexed citations
15.
Anderson, William A., Charles R. Bridges, Michael A. Acker, et al.. (1988). Skeletal muscle stimulated for one year with a burst pattern necessary for cardiac type work. The FASEB Journal. 2(4). 3734. 2 indexed citations
16.
Wa, Anderson, et al.. (1988). Skeletal muscle grafts applied to the heart. A word of caution.. PubMed. 78(5 Pt 2). III180–90. 41 indexed citations
17.
Acker, Michael A., Robert L. Hammond, John D. Mannion, Stanley Salmons, & Larry W. Stephenson. (1987). Skeletal Muscle as the Potential Power Source for a Cardiovascular Pump: Assessment in Vivo. Science. 236(4799). 324–327. 102 indexed citations
18.
Acker, Michael, William A. Anderson, Robert L. Hammond, et al.. (1987). Oxygen consumption of chronically stimulated skeletal muscle. Journal of Thoracic and Cardiovascular Surgery. 94(5). 702–709. 36 indexed citations
19.
Salmons, Stanley & Jan Henriksson. (1981). The adaptive response of skeletal muscle to increased use. Muscle & Nerve. 4(2). 94–105. 612 indexed citations breakdown →
20.
Salmons, Stanley, et al.. (1973). Reversal of energy metabolism and myosin characteristics of white muscles after chronic stimulation.. PubMed. 98. 297–8. 3 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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