R.I. Richardson

13.4k total citations · 4 hit papers
142 papers, 10.4k citations indexed

About

R.I. Richardson is a scholar working on Animal Science and Zoology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, R.I. Richardson has authored 142 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Animal Science and Zoology, 28 papers in Genetics and 24 papers in Agronomy and Crop Science. Recurrent topics in R.I. Richardson's work include Meat and Animal Product Quality (106 papers), Animal Nutrition and Physiology (68 papers) and Genetic and phenotypic traits in livestock (26 papers). R.I. Richardson is often cited by papers focused on Meat and Animal Product Quality (106 papers), Animal Nutrition and Physiology (68 papers) and Genetic and phenotypic traits in livestock (26 papers). R.I. Richardson collaborates with scholars based in United Kingdom, France and Ireland. R.I. Richardson's co-authors include J.D. Wood, M. Enser, G.R. Nute, P.R. Sheard, A.V. Fisher, S.I. Hughes, M.M. Campo, N.D. Scollan, FM Whittington and Eleni Kasapidou and has published in prestigious journals such as PLoS ONE, Food Chemistry and Sensors.

In The Last Decade

R.I. Richardson

138 papers receiving 9.9k citations

Hit Papers

Fat deposition, fatty aci... 2003 2026 2010 2018 2007 2003 2006 2005 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R.I. Richardson 8.3k 2.0k 1.8k 1.7k 1.5k 142 10.4k
M. Enser 8.5k 1.0× 2.3k 1.1× 2.7k 1.5× 1.5k 0.9× 1.5k 1.0× 114 11.1k
Stefaan De Smet 6.6k 0.8× 1.2k 0.6× 2.2k 1.2× 1.2k 0.7× 2.6k 1.7× 333 12.0k
Knud Erik Bach Knudsen 5.4k 0.6× 1.7k 0.9× 3.8k 2.1× 752 0.4× 2.3k 1.5× 303 12.1k
R.J.B. Bessa 4.2k 0.5× 2.4k 1.2× 1.9k 1.0× 988 0.6× 947 0.6× 230 7.1k
H. R. Cross 6.5k 0.8× 964 0.5× 908 0.5× 1.4k 0.8× 1.3k 0.9× 241 8.9k
J.L. Aalhus 4.2k 0.5× 1.0k 0.5× 1.3k 0.7× 863 0.5× 917 0.6× 216 5.9k
W.H. Hendriks 2.5k 0.3× 1.9k 0.9× 1.0k 0.6× 792 0.5× 1.2k 0.8× 306 7.5k
Robert D Goodband 6.9k 0.8× 929 0.5× 1.1k 0.6× 724 0.4× 1.1k 0.7× 888 9.5k
N.D. Scollan 3.7k 0.5× 4.6k 2.3× 2.3k 1.3× 1.6k 0.9× 1.0k 0.7× 167 8.3k
F. K. McKeith 7.5k 0.9× 689 0.3× 684 0.4× 1.1k 0.6× 1.0k 0.7× 257 8.9k

Countries citing papers authored by R.I. Richardson

Since Specialization
Citations

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

Fields of papers citing papers by R.I. Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.I. Richardson. 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 R.I. Richardson. The network helps show where R.I. Richardson may publish in the future.

Co-authorship network of co-authors of R.I. Richardson

This figure shows the co-authorship network connecting the top 25 collaborators of R.I. Richardson. A scholar is included among the top collaborators of R.I. Richardson 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 R.I. Richardson. R.I. Richardson 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.
Saracco, Jérôme, M.M. Campo, R.I. Richardson, et al.. (2024). Modelling the physiological, muscular, and sensory characteristics in relation to beef quality from 15 cattle breeds. Livestock Science. 280. 105395–105395. 4 indexed citations
2.
Ferguson, Marissa, et al.. (2022). Perioperative medicine in Australia and New Zealand: A cross-sectional survey. Anaesthesia and Intensive Care. 50(5). 403–406.
4.
Waters, Sinéad M., Ruth M. Hamill, P.G. Dunne, et al.. (2016). Compensatory growth in crossbred Aberdeen Angus and Belgian Blue steers: Effects on the colour, shear force and sensory characteristics of longissimus muscle. Meat Science. 125. 128–136. 26 indexed citations
5.
Monahan, Frank J., M. McGee, E.G. O’Riordan, et al.. (2016). Biochemical and organoleptic characteristics of muscle from early and late maturing bulls in different production systems. animal. 11(9). 1636–1644. 13 indexed citations
6.
Craigie, C., N.R. Lambe, R.I. Richardson, et al.. (2012). The effect of sex on some carcass and meat quality traits in Texel ewe and ram lambs. Animal Production Science. 52(7). 601–607. 14 indexed citations
7.
Turner, Simon P., E.A. Navajas, J. J. Hyslop, et al.. (2011). Associations between response to handling and growth and meat quality in frequently handled Bos taurus beef cattle1. Journal of Animal Science. 89(12). 4239–4248. 65 indexed citations
8.
Lambe, N.R., et al.. (2010). The effect of the Texel muscling QTL (TM-QTL) on meat quality traits in crossbred lambs. Meat Science. 85(4). 684–690. 9 indexed citations
9.
Prieto, N., D.W. Ross, E.A. Navajas, et al.. (2010). Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. animal. 5(1). 155–165. 36 indexed citations
10.
Navajas, E.A., R.I. Richardson, C. A. Glasbey, et al.. (2009). Associations betwen beef density by X-ray computed tomography, intramuscular fat and fatty acid composition: preliminary results. Bristol Research (University of Bristol). 2009. 3 indexed citations
11.
Navajas, E.A., R.I. Richardson, C. A. Glasbey, et al.. (2009). Associations between beef density by X-ray computed tomography, intramuscular fat and fatty acid composition: preliminary results. Proceedings of the British Society of Animal Science. 2009. 117–117. 1 indexed citations
12.
Wood, J.D., et al.. (2007). Quality of meat from biodiverse grassland. Rothamsted Repository (Rothamsted Repository). 6 indexed citations
13.
Wood, J.D., M. Enser, A.V. Fisher, et al.. (2007). Fat deposition, fatty acid composition and meat quality: A review. Meat Science. 78(4). 343–358. 2027 indexed citations breakdown →
14.
Richardson, R.I., et al.. (2006). Identification of quantitative trait loci affecting fatty acid composition in sheep.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 3 indexed citations
15.
Richardson, R.I., et al.. (2004). Effect of free and ruminally-protected fish oils on fatty acid composition, sensory and oxidative characteristics of beef loin muscle. Explore Bristol Research. 4 indexed citations
16.
Richardson, R.I., et al.. (2003). Effect of diet, breed and age at slaughter on the fatty acid composition of total lipid in beef longissimus muscle. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 2 indexed citations
17.
Richardson, R.I.. (2003). Case ready red meat packaging technology. Brazilian journal of food technology. 148–155. 3 indexed citations
18.
Richardson, R.I., et al.. (2000). Comparison of physicochemical properties of pork from 4 different pig breeds. Journal of Animal Science and Biotechnology. 42(2). 195–202. 3 indexed citations
19.
Wood, J.D., M. Enser, A.V. Fisher, et al.. (1999). Manipulating meat quality and composition. Proceedings of The Nutrition Society. 58(2). 363–370. 351 indexed citations
20.

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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