S. Skirrow

577 total citations
10 papers, 411 citations indexed

About

S. Skirrow is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology. According to data from OpenAlex, S. Skirrow has authored 10 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Agronomy and Crop Science, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Animal Science and Zoology. Recurrent topics in S. Skirrow's work include Reproductive Physiology in Livestock (4 papers), Parasitic Infections and Diagnostics (2 papers) and Muscle metabolism and nutrition (2 papers). S. Skirrow is often cited by papers focused on Reproductive Physiology in Livestock (4 papers), Parasitic Infections and Diagnostics (2 papers) and Muscle metabolism and nutrition (2 papers). S. Skirrow collaborates with scholars based in United Kingdom, United States and Australia. S. Skirrow's co-authors include William J. Goodger, Paul L. Greenhaff, Robert H. BonDurant, Philip J. Atherton, Natalie F. Shur, Dumitru Constantin‐Teodosiu, Ian Macdonald, Jonathan N. Lund, Zudin Puthucheary and Hannah Crossland and has published in prestigious journals such as The Journal of Physiology, Ageing Research Reviews and Theriogenology.

In The Last Decade

S. Skirrow

10 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Skirrow United Kingdom 9 155 114 95 64 50 10 411
D. Strabel Switzerland 9 40 0.3× 90 0.8× 73 0.8× 11 0.2× 136 2.7× 15 407
Jacopo Guccione Italy 13 42 0.3× 155 1.4× 50 0.5× 16 0.3× 57 1.1× 38 410
Jeremy G Powell United States 13 97 0.6× 130 1.1× 23 0.2× 21 0.3× 43 0.9× 66 552
Thomas B. Turner United States 15 76 0.5× 200 1.8× 16 0.2× 119 1.9× 27 0.5× 43 614
S. Lekkas Greece 14 52 0.3× 31 0.3× 48 0.5× 27 0.4× 24 0.5× 36 528
Bruce G. McLaughlin United States 11 55 0.4× 43 0.4× 60 0.6× 5 0.1× 29 0.6× 23 336
E. Eggenberger Switzerland 12 83 0.5× 127 1.1× 7 0.1× 51 0.8× 44 0.9× 28 481
G F Schusser Germany 13 13 0.1× 144 1.3× 46 0.5× 33 0.5× 56 1.1× 72 581
Judith V. Marteniuk United States 12 21 0.1× 194 1.7× 203 2.1× 12 0.2× 29 0.6× 22 535
Meredyth L. Jones United States 15 53 0.3× 260 2.3× 26 0.3× 42 0.7× 31 0.6× 44 765

Countries citing papers authored by S. Skirrow

Since Specialization
Citations

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

Fields of papers citing papers by S. Skirrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Skirrow

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

All Works

10 of 10 papers shown
1.
Shur, Natalie F., S. Skirrow, Philip J. Atherton, et al.. (2021). Age-related changes in muscle architecture and metabolism in humans: The likely contribution of physical inactivity to age-related functional decline. Ageing Research Reviews. 68. 101344–101344. 69 indexed citations
2.
Crossland, Hannah, S. Skirrow, Zudin Puthucheary, Dumitru Constantin‐Teodosiu, & Paul L. Greenhaff. (2018). The impact of immobilisation and inflammation on the regulation of muscle mass and insulin resistance: different routes to similar end‐points. The Journal of Physiology. 597(5). 1259–1270. 51 indexed citations
4.
Skirrow, S., et al.. (1989). Bovine Trichomoniasis. Parasitology Today. 5(12). 373–377. 95 indexed citations
5.
Skirrow, S.. (1987). Identification of trichomonad-carrier cows. Journal of the American Veterinary Medical Association. 191(5). 553–554. 41 indexed citations
6.
Goodger, William J. & S. Skirrow. (1986). Epidemiologic and economic analyses of an unusually long epizootic of trichomoniasis in a large California dairy herd. Journal of the American Veterinary Medical Association. 189(7). 772–776. 47 indexed citations
7.
Skirrow, S., et al.. (1985). Efficacy of ipronidazole against trichomoniasis in beef bulls. Journal of the American Veterinary Medical Association. 187(4). 405–407. 53 indexed citations
8.
BonDurant, R.H., et al.. (1984). Nonsurgical collection of blastocysts from dairy goats. Theriogenology. 22(4). 423–431. 17 indexed citations
9.
Hawkins, Cynthia, S. Skirrow, R.S. Wyburn, & J. M. Howell. (1983). Hemimelia and low marking percentage in a flock of Merino ewes and lambs. Australian Veterinary Journal. 60(1). 22–24. 9 indexed citations
10.
Steele, P., et al.. (1980). LOW ALPHA‐TOCOPHEROL LEVELS IN LIVERS OF WEANER SHEEP WITH NUTRITIONAL MYOPATHY. Australian Veterinary Journal. 56(11). 529–532. 21 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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