Tim Scanlon

593 total citations
18 papers, 478 citations indexed

About

Tim Scanlon is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Physiology. According to data from OpenAlex, Tim Scanlon has authored 18 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Animal Science and Zoology, 8 papers in Agronomy and Crop Science and 5 papers in Physiology. Recurrent topics in Tim Scanlon's work include Ruminant Nutrition and Digestive Physiology (6 papers), Meat and Animal Product Quality (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Tim Scanlon is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (6 papers), Meat and Animal Product Quality (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Tim Scanlon collaborates with scholars based in Australia, Portugal and Saint Kitts and Nevis. Tim Scanlon's co-authors include André M. Almeida, Tanya Kilminster, Chris Oldham, J. C. Greeff, John Milton, Gregory R. Cawthray, Hans Lambers, Erik J. Veneklaas, J. T. B. Milton and Martin J. Barbetti and has published in prestigious journals such as PLoS ONE, Scientific Reports and New Phytologist.

In The Last Decade

Tim Scanlon

18 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Scanlon Australia 15 192 180 136 114 77 18 478
S. P. Quigley Australia 13 112 0.6× 311 1.7× 122 0.9× 55 0.5× 90 1.2× 59 628
Chris Oldham Australia 16 247 1.3× 373 2.1× 290 2.1× 43 0.4× 77 1.0× 36 664
L. A. Cardoso Portugal 14 194 1.0× 101 0.6× 88 0.6× 119 1.0× 119 1.5× 37 475
Katrin Gerlach Germany 14 141 0.7× 351 1.9× 100 0.7× 95 0.8× 61 0.8× 28 545
S. R. de Medeiros Brazil 13 163 0.8× 191 1.1× 198 1.5× 54 0.5× 65 0.8× 50 465
Leonardo de Oliveira Seno Brazil 14 247 1.3× 146 0.8× 254 1.9× 80 0.7× 31 0.4× 82 559
Mateus Pies Gionbelli Brazil 20 376 2.0× 593 3.3× 336 2.5× 60 0.5× 141 1.8× 82 1.0k
Rodrigo Silva Goulart Brazil 14 233 1.2× 190 1.1× 103 0.8× 32 0.3× 51 0.7× 37 389
Luciana Navájas Rennó Brazil 17 303 1.6× 781 4.3× 396 2.9× 65 0.6× 69 0.9× 124 976
David Kenny Ireland 12 237 1.2× 341 1.9× 434 3.2× 36 0.3× 71 0.9× 25 641

Countries citing papers authored by Tim Scanlon

Since Specialization
Citations

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

Fields of papers citing papers by Tim Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Scanlon

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

All Works

18 of 18 papers shown
1.
Ribeiro, David M., Tim Scanlon, Tanya Kilminster, et al.. (2020). Mineral profiling of muscle and hepatic tissues of Australian Merino, Damara and Dorper lambs: Effect of weight loss. Journal of Animal Physiology and Animal Nutrition. 104(3). 823–830. 32 indexed citations
2.
Scanlon, Tim, et al.. (2020). Rain, rain, gone away: decreased growing-season rainfall for the dryland cropping region of the south-west of Western Australia. Crop and Pasture Science. 71(2). 128–133. 20 indexed citations
3.
Chapwanya, Aspinas, Tanya Kilminster, Tim Scanlon, et al.. (2019). The ovine hepatic mitochondrial proteome: Understanding seasonal weight loss tolerance in two distinct breeds. PLoS ONE. 14(2). e0212580–e0212580. 6 indexed citations
4.
Ribeiro, David M., Marta S. Madeira, Tanya Kilminster, et al.. (2019). Amino acid profiles of muscle and liver tissues of Australian Merino, Damara and Dorper lambs under restricted feeding. Journal of Animal Physiology and Animal Nutrition. 103(5). 1295–1302. 12 indexed citations
5.
Selevsek, Nathalie, Jonas Grossmann, Tanya Kilminster, et al.. (2018). Ovine liver proteome: Assessing mechanisms of seasonal weight loss tolerance between Merino and Damara sheep. Journal of Proteomics. 191. 180–190. 16 indexed citations
6.
Ferreira, Ana M., Jonas Grossmann, Claudia Fortes, et al.. (2017). The sheep (Ovis aries) muscle proteome: Decoding the mechanisms of tolerance to Seasonal Weight Loss using label-free proteomics. Journal of Proteomics. 161. 57–67. 28 indexed citations
7.
Palma, Mariana, Tim Scanlon, Tanya Kilminster, et al.. (2016). The hepatic and skeletal muscle ovine metabolomes as affected by weight loss: a study in three sheep breeds using NMR-metabolomics. Scientific Reports. 6(1). 39120–39120. 35 indexed citations
8.
Almeida, André M., Tanya Kilminster, Tim Scanlon, et al.. (2016). The Effect of Weight Loss on the Muscle Proteome in the Damara, Dorper and Australian Merino Ovine Breeds. PLoS ONE. 11(2). e0146367–e0146367. 25 indexed citations
9.
Lérias, Joana R., Tanya Kilminster, Tim Scanlon, et al.. (2015). The fat-tail of Damara sheep: an assessment of mineral content as influenced by weight loss. Animal Production Science. 56(9). 1492–1495. 7 indexed citations
10.
Kilminster, Tanya, et al.. (2015). Fatty acid composition of the ovine longissimus dorsi muscle: effect of feed restriction in three breeds of different origin. Journal of the Science of Food and Agriculture. 96(5). 1777–1782. 29 indexed citations
11.
Almeida, André M., Jeffrey E. Plowman, Duane P. Harland, et al.. (2014). Influence of feed restriction on the wool proteome: A combined iTRAQ and fiber structural study. Journal of Proteomics. 103. 170–177. 27 indexed citations
12.
Almeida, André M., Tanya Kilminster, Tim Scanlon, et al.. (2013). Assessing carcass and meat characteristics of Damara, Dorper and Australian Merino lambs under restricted feeding. Tropical Animal Health and Production. 45(6). 1305–1311. 37 indexed citations
13.
Alves, Susana P., R.J.B. Bessa, M.A.G. Quaresma, et al.. (2013). Does the Fat Tailed Damara Ovine Breed Have a Distinct Lipid Metabolism Leading to a High Concentration of Branched Chain Fatty Acids in Tissues?. PLoS ONE. 8(10). e77313–e77313. 46 indexed citations
14.
Almeida, André M., Tim Scanlon, Tanya Kilminster, et al.. (2012). Gene expression of regulatory enzymes involved in the intermediate metabolism of sheep subjected to feed restriction. animal. 7(3). 439–445. 23 indexed citations
15.
Scanlon, Tim, André M. Almeida, Tanya Kilminster, et al.. (2012). Live weight parameters and feed intake in Dorper, Damara and Australian Merino lambs exposed to restricted feeding. Small Ruminant Research. 109(2-3). 101–106. 33 indexed citations
16.
Ryan, Megan H., et al.. (2012). Amelioration of root disease of subterranean clover (Trifolium subterraneum) by mineral nutrients. Crop and Pasture Science. 63(7). 672–682. 16 indexed citations
17.
Scanlon, Tim, Megan H. Ryan, Len J. Wade, et al.. (2009). Severity of root rot in mature subterranean clover and associated fungal pathogens in the wheatbelt of Western Australia. Crop and Pasture Science. 60(1). 43–43. 24 indexed citations
18.

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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