Brendan E. Murray

654 total citations
16 papers, 551 citations indexed

About

Brendan E. Murray is a scholar working on Animal Science and Zoology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brendan E. Murray has authored 16 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Animal Science and Zoology, 6 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brendan E. Murray's work include Meat and Animal Product Quality (7 papers), Ion channel regulation and function (6 papers) and Animal Nutrition and Physiology (4 papers). Brendan E. Murray is often cited by papers focused on Meat and Animal Product Quality (7 papers), Ion channel regulation and function (6 papers) and Animal Nutrition and Physiology (4 papers). Brendan E. Murray collaborates with scholars based in Ireland, Spain and Germany. Brendan E. Murray's co-authors include Kay Ohlendieck, D.J. Troy, Gabriele Ruth Anisah Froemming, K. Osoro, Noelia Aldai, Ana Isabel Nájera, Dirk Pette, Patricia B. Maguire, M.V. Sarriés and M.J. Beriain and has published in prestigious journals such as Biochemical Journal, Food Chemistry and FEBS Letters.

In The Last Decade

Brendan E. Murray

15 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brendan E. Murray Ireland 12 306 167 94 92 85 16 551
Minoru Yamanoue Japan 14 177 0.6× 196 1.2× 57 0.6× 29 0.3× 20 0.2× 38 414
Kjell Malmlöf Denmark 15 133 0.4× 87 0.5× 46 0.5× 77 0.8× 26 0.3× 46 641
A. M. Cheah United Kingdom 16 310 1.0× 328 2.0× 82 0.9× 27 0.3× 54 0.6× 26 668
Yue Feng China 13 252 0.8× 42 0.3× 93 1.0× 78 0.8× 38 0.4× 40 656
Kristine N. Lahners United States 14 554 1.8× 223 1.3× 69 0.7× 32 0.3× 43 0.5× 16 940
Takaoki Saneyasu Japan 15 157 0.5× 205 1.2× 44 0.5× 190 2.1× 20 0.2× 54 687
Sudath Dahanayaka United States 9 193 0.6× 127 0.8× 67 0.7× 88 1.0× 6 0.1× 13 503
Allan White Chile 16 208 0.7× 52 0.3× 126 1.3× 64 0.7× 8 0.1× 36 715
Augustine Ocloo Ghana 10 319 1.0× 30 0.2× 60 0.6× 30 0.3× 22 0.3× 44 671
Jean‐François Huneau France 11 322 1.1× 83 0.5× 116 1.2× 144 1.6× 7 0.1× 17 664

Countries citing papers authored by Brendan E. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Brendan E. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brendan E. Murray. 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 Brendan E. Murray. The network helps show where Brendan E. Murray may publish in the future.

Co-authorship network of co-authors of Brendan E. Murray

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

All Works

16 of 16 papers shown
1.
McNulty, Breige, Anne P. Nugent, Marijana Matek Sarić, et al.. (2024). Dietary Exposure Assessment to Pesticides in Croatian School-Children—The Methodology of the Zagreb Region Total Diet Study. Exposure and Health. 17(1). 55–80.
2.
Sarriés, M.V., Brendan E. Murray, A.P. Moloney, D.J. Troy, & M.J. Beriain. (2008). The effect of cooking on the fatty acid composition of longissimus muscle from beef heifers fed rations designed to increase the concentration of conjugated linoleic acid in tissue. Meat Science. 81(2). 307–312. 19 indexed citations
3.
Brunton, Nigel P., et al.. (2007). Use of the alditol acetate derivatisation for the analysis of reducing sugars in potato tubers. Food Chemistry. 104(1). 398–402. 34 indexed citations
4.
Aldai, Noelia, Brendan E. Murray, Mamen Oliván, et al.. (2005). The influence of breed and mh-genotype on carcass conformation, meat physico-chemical characteristics, and the fatty acid profile of muscle from yearling bulls. Meat Science. 72(3). 486–495. 62 indexed citations
5.
Sarriés, M.V., Brendan E. Murray, D.J. Troy, & M.J. Beriain. (2005). Intramuscular and subcutaneous lipid fatty acid profile composition in male and female foals. Meat Science. 72(3). 475–485. 50 indexed citations
6.
Aldai, Noelia, Brendan E. Murray, Ana Isabel Nájera, D.J. Troy, & K. Osoro. (2005). Derivatization of fatty acids and its application for conjugated linoleic acid studies in ruminant meat lipids. Journal of the Science of Food and Agriculture. 85(7). 1073–1083. 93 indexed citations
7.
Moloney, A.P., Frank J. Monahan, F. Noci, Brendan E. Murray, & D.J. Troy. (2004). Enhancement of the Nutritional Value and Eating Quality of Beef. Arrow@dit (Dublin Institute of Technology). 1 indexed citations
8.
Troy, D.J., et al.. (2002). Influence of feeding systems on the eating quality of beef. Journal of Digestive Diseases. 17(5). 313–8. 1 indexed citations
9.
Froemming, Gabriele Ruth Anisah, et al.. (2000). Comparative analysis of the isoform expression pattern of Ca2+-regulatory membrane proteins in fast-twitch, slow-twitch, cardiac, neonatal and chronic low-frequency stimulated muscle fibers. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1466(1-2). 151–168. 56 indexed citations
10.
Mullen, Anne Maria, Brendan E. Murray, & D.J. Troy. (2000). Predicting the eating quality of meat. Arrow@dit (Dublin Institute of Technology). 2 indexed citations
11.
Ohlendieck, Kay, et al.. (1999). Effects of chronic low-frequency stimulation on Ca2+-regulatory membrane proteins in rabbit fast muscle. Pflügers Archiv - European Journal of Physiology. 438(5). 700–708. 43 indexed citations
12.
Froemming, Gabriele Ruth Anisah, Brendan E. Murray, & Kay Ohlendieck. (1999). Self-aggregation of triadin in the sarcoplasmic reticulum of rabbit skeletal muscle. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1418(1). 197–205. 30 indexed citations
13.
Ohlendieck, Kay, et al.. (1999). Effects of chronic low-frequency stimulation on Ca 2+ -regulatory membrane proteins in rabbit fast muscle. Pflügers Archiv - European Journal of Physiology. 438(5). 700–708. 16 indexed citations
14.
Murray, Brendan E. & Kay Ohlendieck. (1998). Complex formation between calsequestrin and the ryanodine receptor in fast‐ and slow‐twitch rabbit skeletal muscle. FEBS Letters. 429(3). 317–322. 36 indexed citations
15.
Murray, Brendan E., Gabriele Ruth Anisah Froemming, Patricia B. Maguire, & Kay Ohlendieck. (1998). Excitation-contraction-relaxation cycle: role of Ca2+-regulatory membrane proteins in normal, stimulated and pathological skeletal muscle (review).. International Journal of Molecular Medicine. 1(4). 677–87. 38 indexed citations
16.
Murray, Brendan E. & Kay Ohlendieck. (1997). Cross-linking analysis of the ryanodine receptor and α1-dihydropyridine receptor in rabbit skeletal muscle triads. Biochemical Journal. 324(2). 689–696. 70 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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