J. Eglinton

2.1k total citations
80 papers, 1.6k citations indexed

About

J. Eglinton is a scholar working on Plant Science, Nutrition and Dietetics and Food Science. According to data from OpenAlex, J. Eglinton has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 36 papers in Nutrition and Dietetics and 20 papers in Food Science. Recurrent topics in J. Eglinton's work include Food composition and properties (36 papers), Wheat and Barley Genetics and Pathology (28 papers) and Genetics and Plant Breeding (18 papers). J. Eglinton is often cited by papers focused on Food composition and properties (36 papers), Wheat and Barley Genetics and Pathology (28 papers) and Genetics and Plant Breeding (18 papers). J. Eglinton collaborates with scholars based in Australia, Germany and Syria. J. Eglinton's co-authors include Daniel Cozzolino, D. Evan Evans, S. Roumeliotis, Peter Langridge, A. R. Barr, D. Evan Evans, Stewart Coventry, Timothy J. March, Helen M. Collins and Annika Wilhelmson and has published in prestigious journals such as PLoS ONE, Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

J. Eglinton

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Eglinton Australia 24 1.1k 479 384 309 244 80 1.6k
Gilles Charmet France 28 2.1k 2.0× 573 1.2× 260 0.7× 742 2.4× 53 0.2× 39 2.7k
S. E. Ullrich United States 32 2.9k 2.7× 645 1.3× 324 0.8× 1.2k 4.0× 136 0.6× 88 3.4k
M. J. Edney Canada 20 762 0.7× 276 0.6× 172 0.4× 190 0.6× 49 0.2× 40 1.2k
Tsukasa Nagamine Japan 23 1.6k 1.5× 447 0.9× 155 0.4× 609 2.0× 71 0.3× 49 1.9k
Angéla Juhász Australia 20 891 0.8× 144 0.3× 98 0.3× 99 0.3× 76 0.3× 83 1.3k
R. Jambunathan India 23 1.1k 1.1× 611 1.3× 442 1.2× 48 0.2× 63 0.3× 76 1.6k
Maurílio Alves Moreira Brazil 25 1.5k 1.4× 114 0.2× 114 0.3× 70 0.2× 84 0.3× 132 1.8k
Fangfang Wang China 22 1.3k 1.2× 120 0.3× 193 0.5× 142 0.5× 69 0.3× 53 1.9k
N. Berardo Italy 17 459 0.4× 80 0.2× 115 0.3× 99 0.3× 38 0.2× 33 842
Everaldo Gonçalves de Barros Brazil 26 1.8k 1.7× 77 0.2× 129 0.3× 127 0.4× 72 0.3× 145 2.1k

Countries citing papers authored by J. Eglinton

Since Specialization
Citations

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

Fields of papers citing papers by J. Eglinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Eglinton

This figure shows the co-authorship network connecting the top 25 collaborators of J. Eglinton. A scholar is included among the top collaborators of J. Eglinton 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 J. Eglinton. J. Eglinton 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.
Bhuiyan, Shamsul A., et al.. (2024). Parasitic Nematodes of Sugarcane: A Major Productivity Impediment and Grand Challenges in Management. Plant Disease. 108(10). 2945–2957.
2.
Maurer, Andreas, Klaus Pillen, Julian Taylor, et al.. (2024). A wild barley nested association mapping population shows a wide variation for yield-associated traits to be used for breeding in Australian environment. Euphytica. 220(2). 3 indexed citations
3.
Pham, Anh-Tung, Andreas Maurer, Klaus Pillen, et al.. (2019). Genome-wide association of barley plant growth under drought stress using a nested association mapping population. BMC Plant Biology. 19(1). 134–134. 59 indexed citations
4.
Cu, Suong, et al.. (2017). Variation in barley (1 → 3, 1 → 4)-β-glucan endohydrolases reveals novel allozymes with increased thermostability. Theoretical and Applied Genetics. 130(5). 1053–1063. 5 indexed citations
5.
Eglinton, J., Stewart Coventry, Timothy J. March, et al.. (2017). Quantitative trait loci for yield and grain plumpness relative to maturity in three populations of barley (Hordeum vulgare L.) grown in a low rain-fall environment. PLoS ONE. 12(5). e0178111–e0178111. 9 indexed citations
6.
Kajiwara, Yasuhiro, et al.. (2017). Genetic analysis of barley for Shochu quality. Journal of Cereal Science. 74. 174–182. 1 indexed citations
7.
Eglinton, J., et al.. (2016). Genetic analysis of developmental and adaptive traits in three doubled haploid populations of barley (Hordeum vulgare L.). Theoretical and Applied Genetics. 129(6). 1139–1151. 25 indexed citations
8.
Cozzolino, Daniel, et al.. (2015). Relationships Between Fructans Content and Barley Malt Quality. Food Analytical Methods. 9(7). 2010–2015. 5 indexed citations
9.
Cu, Suong, Helen M. Collins, Natalie S. Betts, et al.. (2015). Water uptake in barley grain: Physiology; genetics and industrial applications. Plant Science. 242. 260–269. 10 indexed citations
10.
Cozzolino, Daniel, et al.. (2015). In situ study of water uptake by the seeds, endosperm and husk of barley using infrared spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 150. 200–206. 8 indexed citations
11.
Zerner, Michael C., Timothy J. March, J. Eglinton, & Ben Biddulph. (2015). Use of chemical protective products to change the ability of wheat to tolerate frost. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1 indexed citations
12.
Honsdorf, Nora, et al.. (2014). Evaluation of juvenile drought stress tolerance and genotyping by sequencing with wild barley introgression lines. Molecular Breeding. 34(3). 1475–1495. 24 indexed citations
13.
Cozzolino, Daniel, S. Roumeliotis, & J. Eglinton. (2014). Relationships Between Fatty Acid Contents of Barley Grain, Malt, and Wort with Malt Quality Measurements. Cereal Chemistry. 92(1). 93–97. 12 indexed citations
15.
Cozzolino, Daniel, S. Roumeliotis, & J. Eglinton. (2014). An attenuated total reflectance mid infrared (ATR-MIR) spectroscopy study of gelatinization in barley. Carbohydrate Polymers. 108. 266–271. 15 indexed citations
16.
Cozzolino, Daniel, S. Roumeliotis, & J. Eglinton. (2013). Feasibility study on the use of attenuated total reflectance infrared spectroscopy as high throughput screening tool to phenotype single barley seeds (Hordeum vulgare L.). Biosystems Engineering. 116(4). 379–384. 8 indexed citations
17.
Cozzolino, Daniel, S. Roumeliotis, & J. Eglinton. (2013). The role of total lipids and fatty acids profile on the water uptake of barley grain during steeping. Food Chemistry. 151. 231–235. 9 indexed citations
19.
Hearnden, P., Paul Eckermann, G. McMichael, et al.. (2007). A genetic map of 1,000 SSR and DArT markers in a wide barley cross. Theoretical and Applied Genetics. 115(3). 383–91. 71 indexed citations
20.
Barr, A. R., et al.. (2004). QTL mapping of chromosomal regions conferring reproductive frost tolerance in barley (Hordeum vulgare L.). Theoretical and Applied Genetics. 109(6). 1267–1274. 65 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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