N.R. Lambe

1.9k total citations
95 papers, 1.4k citations indexed

About

N.R. Lambe is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, N.R. Lambe has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Genetics, 58 papers in Animal Science and Zoology and 25 papers in Agronomy and Crop Science. Recurrent topics in N.R. Lambe's work include Genetic and phenotypic traits in livestock (64 papers), Meat and Animal Product Quality (35 papers) and Effects of Environmental Stressors on Livestock (21 papers). N.R. Lambe is often cited by papers focused on Genetic and phenotypic traits in livestock (64 papers), Meat and Animal Product Quality (35 papers) and Effects of Environmental Stressors on Livestock (21 papers). N.R. Lambe collaborates with scholars based in United Kingdom, New Zealand and United States. N.R. Lambe's co-authors include L. Bünger, E.A. Navajas, G.B. Scott, G. Simm, J. Conington, A.V. Fisher, K.A. McLean, R. Roehe, W. Haresign and S. Brotherstone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Animal Science.

In The Last Decade

N.R. Lambe

90 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.R. Lambe United Kingdom 22 871 619 335 286 171 95 1.4k
Severiano Silva Portugal 19 730 0.8× 320 0.5× 191 0.6× 305 1.1× 123 0.7× 77 1.2k
E.A. Navajas Uruguay 19 646 0.7× 459 0.7× 142 0.4× 213 0.7× 250 1.5× 62 1.0k
A.V. Fisher United Kingdom 16 1.1k 1.3× 368 0.6× 104 0.3× 472 1.7× 159 0.9× 35 1.6k
S. D. Shackelford United States 21 1.5k 1.8× 463 0.7× 191 0.6× 231 0.8× 85 0.5× 47 1.9k
T. D. Pringle United States 22 880 1.0× 255 0.4× 111 0.3× 302 1.1× 136 0.8× 64 1.3k
D. L. VanOverbeke United States 25 1.5k 1.7× 240 0.4× 296 0.9× 220 0.8× 75 0.4× 94 1.8k
J.W.M. Merks Netherlands 18 846 1.0× 635 1.0× 626 1.9× 83 0.3× 93 0.5× 44 1.2k
D.W. Pethick Australia 18 929 1.1× 350 0.6× 169 0.5× 222 0.8× 37 0.2× 56 1.1k
D. M. Wulf United States 27 2.1k 2.4× 382 0.6× 269 0.8× 357 1.2× 62 0.4× 50 2.4k
J.L. Olleta Spain 29 2.2k 2.5× 558 0.9× 252 0.8× 509 1.8× 131 0.8× 78 2.6k

Countries citing papers authored by N.R. Lambe

Since Specialization
Citations

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

Fields of papers citing papers by N.R. Lambe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N.R. Lambe

This figure shows the co-authorship network connecting the top 25 collaborators of N.R. Lambe. A scholar is included among the top collaborators of N.R. Lambe 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 N.R. Lambe. N.R. Lambe 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.
Lambe, N.R., F. McGovern, E.A. Navajas, et al.. (2025). Comparison of country-specific predictions of feed intake and methane emissions in sheep using different proxies. Livestock Science. 296. 105716–105716.
2.
Lambe, N.R., et al.. (2024). Genome wide association studies for carcass traits measured by video image analysis in crossbred lambs. Meat Science. 214. 109518–109518. 2 indexed citations
3.
Lambe, N.R., et al.. (2022). 84. Analysis of maternal behaviour score in a commercial sheep breeding programme. Animal - science proceedings. 13(1). 57–58. 1 indexed citations
4.
Sánchez-Molano, Enrique, et al.. (2020). Breeding strategies for animal resilience to weather variation in meat sheep. BMC Genetics. 21(1). 116–116. 16 indexed citations
5.
Gill, Andrew C., N.R. Lambe, Claire Morgan‐Davies, et al.. (2019). Investigation of relationship between vitamin D status and reproductive fitness in Scottish hill sheep. Scientific Reports. 9(1). 1162–1162. 16 indexed citations
7.
Lambe, N.R., et al.. (2016). BRIEF COMMUNICATION: Which traits best predict ewe performance and survival the following year on a UK hill farm?. Proceedings of the New Zealand Society of Animal Production. 76. 159–162. 2 indexed citations
8.
Lambe, N.R., Oswald Matika, Patricia L. Johnson, et al.. (2014). Effect and mode of action of the Texel muscling QTL (TM-QTL) on carcass traits in purebred Texel lambs. animal. 8(7). 1053–1061. 6 indexed citations
9.
Wood, J.D., N.R. Lambe, G.A. Walling, et al.. (2013). Effects of low protein diets on pigs with a lean genotype. 1. Carcass composition measured by dissection and muscle fatty acid composition. Meat Science. 95(1). 123–128. 63 indexed citations
10.
Bünger, L., N.R. Lambe, K.A. McLean, et al.. (2012). Effects of low protein diets on lean genotype pigs – growth, feed/ N-intake and fat indicators. 57–60. 1 indexed citations
11.
Lambe, N.R., R.I. Richardson, I. M. Nevison, et al.. (2011). Genotypic effects of the Texel Muscling QTL (TM-QTL) on meat quality in purebred Texel lambs. Meat Science. 89(2). 125–132. 13 indexed citations
12.
Lambe, N.R., E.A. Navajas, C.P. Schofield, et al.. (2008). The use of various live animal measurements to predict carcass and meat quality in two divergent lamb breeds. Meat Science. 80(4). 1138–1149. 46 indexed citations
13.
Lambe, N.R., E.A. Navajas, L. Bünger, et al.. (2008). Prediction of lamb carcass composition and meat quality using combinations of post-mortem measurements. Meat Science. 81(4). 711–719. 36 indexed citations
14.
Bünger, L., et al.. (2007). Breed and sex effects on muscle fibre characteristics in two contrasting sheep breeds: Scottish Blackface and Texel. Proceedings of the British Society of Animal Science. 2007. 111–111. 1 indexed citations
15.
Conington, J., N.R. Lambe, L. Bünger, et al.. (2006). Evaluation of responses to multi-trait selection indexes and genetic parameters for Computer Tomography-derived carcass traits in UK hill sheep.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 4–19. 2 indexed citations
16.
Navajas, E.A., et al.. (2006). Genetic parameters of in vivo muscularity in two divergent sheep breeds: preliminary results.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 13–13. 1 indexed citations
17.
Navajas, E.A., C. A. Glasbey, K.A. McLean, et al.. (2006). In vivo measurements of muscle volume by automatic image analysis of spiral computed tomography scans. Animal Science. 82(4). 545–553. 23 indexed citations
18.
Scott, G.B., B. O. Hughes, N.R. Lambe, & David Waddington. (1999). Ability of laying hens to jump between perches: Individual variation and the effects of perch separation and motivation on behaviour. British Poultry Science. 40(2). 177–184. 15 indexed citations
19.
Scott, G.B., et al.. (1998). The fear levels after transport of hens from cages and a free-range system. Poultry Science. 77(1). 62–66. 26 indexed citations
20.
Lambe, N.R., et al.. (1997). Behaviour of Laying Hens Negotiating Perches at Different Heights. Animal Welfare. 6(1). 29–41. 8 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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