N. J. Corbet

1.5k total citations
43 papers, 1.1k citations indexed

About

N. J. Corbet is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, N. J. Corbet has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 30 papers in Agronomy and Crop Science and 16 papers in Animal Science and Zoology. Recurrent topics in N. J. Corbet's work include Genetic and phenotypic traits in livestock (38 papers), Reproductive Physiology in Livestock (27 papers) and Effects of Environmental Stressors on Livestock (13 papers). N. J. Corbet is often cited by papers focused on Genetic and phenotypic traits in livestock (38 papers), Reproductive Physiology in Livestock (27 papers) and Effects of Environmental Stressors on Livestock (13 papers). N. J. Corbet collaborates with scholars based in Australia, United States and Ireland. N. J. Corbet's co-authors include H. M. Burrow, Geoffry Fordyce, R. G. Holroyd, D. J. Johnston, B. M. Burns, S. A. Barwick, M. L. Wolcott, Michael McGowan, Marina R. S. Fortes and K. C. Prayaga and has published in prestigious journals such as Journal of Animal Science, Heredity and Theriogenology.

In The Last Decade

N. J. Corbet

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. J. Corbet Australia	17	856	563	320	162	135	43	1.1k
C.R. Burke New Zealand	22	864 1.0×	1.3k 2.3×	352 1.1×	258 1.6×	80 0.6×	67	1.7k
V. L. Barile Italy	15	420 0.5×	505 0.9×	220 0.7×	145 0.9×	75 0.6×	127	761
J.L. Hutchison United States	24	1.4k 1.6×	1.0k 1.8×	369 1.2×	85 0.5×	73 0.5×	40	1.7k
A. A. do Egito Brazil	17	636 0.7×	214 0.4×	250 0.8×	74 0.5×	43 0.3×	64	882
N.R. Zwald United States	12	716 0.8×	656 1.2×	266 0.8×	136 0.8×	46 0.3×	22	898
Ingrid David France	16	326 0.4×	215 0.4×	244 0.8×	146 0.9×	117 0.9×	61	655
Arjava Sharma India	15	368 0.4×	237 0.4×	204 0.6×	49 0.3×	62 0.5×	65	723
J.P.C. Greyling South Africa	19	648 0.8×	831 1.5×	272 0.8×	62 0.4×	173 1.3×	71	1.1k
Laurence Drouilhet France	14	380 0.4×	288 0.5×	224 0.7×	43 0.3×	151 1.1×	28	788
João Ademir de Oliveira Brazil	15	504 0.6×	380 0.7×	181 0.6×	81 0.5×	166 1.2×	63	918

Countries citing papers authored by N. J. Corbet

Since Specialization

Citations

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

Fields of papers citing papers by N. J. Corbet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. J. Corbet

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

All Works

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20 of 20 papers shown

Corbet, N. J., et al.. (2021). Changes in the suckling behaviour of beef calves at 1 month and 4 months of age and effect on cow production variables. Applied Animal Behaviour Science. 236. 105219–105219. 14 indexed citations

Patison, Kym P., et al.. (2021). Recording cattle maternal behaviour using proximity loggers and tri-axial accelerometers. Applied Animal Behaviour Science. 240. 105349–105349. 10 indexed citations

Fordyce, Geoffry, Paul J. Williams, N. J. Corbet, Roy Costilla, & Michael McGowan. (2021). Pregnancy rate per cycle is heritable and reduces with cycle in naturally mated tropically adapted beef cows. Reproduction in Domestic Animals. 56(10). 1286–1292.

Costilla, Roy, N. J. Corbet, Geoffry Fordyce, et al.. (2021). Breed-adjusted genomic relationship matrices as a method to account for population stratification in multibreed populations of tropically adapted beef heifers. Animal Production Science. 61(18). 1788–1795. 1 indexed citations

Ross, Elizabeth M., Roy Costilla, S. S. Moore, et al.. (2020). Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers. Genetics Selection Evolution. 52(1). 28–28. 22 indexed citations

Wolcott, M. L., D. J. Johnston, & N. J. Corbet. (2018). Sperm abnormality traits can contribute to the genetic evaluation for male and female reproduction in tropical beef genotypes. RUNE (Research UNE). 259.

Corbet, N. J., Geoffry Fordyce, Michael McGowan, et al.. (2018). Multivariate genomic predictions for age at puberty in tropically adapted beef heifers1. Journal of Animal Science. 97(1). 90–100. 9 indexed citations

Patison, Kym P., et al.. (2018). Validation of accelerometer use to measure suckling behaviour in Northern Australian beef calves. Applied Animal Behaviour Science. 202. 1–6. 17 indexed citations

Hayes, Ben J., et al.. (2018). Towards multi-breed genomic evaluations for female fertility of tropical beef cattle1. Journal of Animal Science. 97(1). 55–62. 26 indexed citations

10.

Verma, Brijesh, et al.. (2016). Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows. 70. 1–6. 7 indexed citations

11.

Fordyce, Geoffry, et al.. (2014). Scrotal circumference of Australian beef bulls. Theriogenology. 81(6). 805–812. 10 indexed citations

12.

REGO, JOÃO PAULO ARCELINO DO, Arlindo A. Moura, Amanda Nouwens, et al.. (2014). Seminal plasma proteome of electroejaculated Bos indicus bulls. Animal Reproduction Science. 148(1-2). 1–17. 64 indexed citations

13.

Fordyce, Geoffry, et al.. (2013). Liveweight prediction from hip height, condition score, fetal age and breed in tropical female cattle. Animal Production Science. 53(4). 275–282. 15 indexed citations

14.

Burns, B. M., N. J. Corbet, B. Venus, et al.. (2012). Male traits and herd reproductive capability in tropical beef cattle. 1. Experimental design and animal measures. Animal Production Science. 53(2). 87–100. 29 indexed citations

15.

Hawken, Rachel, Y. D. Zhang, Marina R. S. Fortes, et al.. (2011). Genome-wide association studies of female reproduction in tropically adapted beef cattle1. Journal of Animal Science. 90(5). 1398–1410. 132 indexed citations

16.

Fordyce, Geoffry, et al.. (2011). Appendix 13 - Impact of improved reproduction in northern Australian cow herds. 1 indexed citations

17.

Johnston, D. J., S. A. Barwick, N. J. Corbet, et al.. (2009). Genetics of heifer puberty in two tropical beef genotypes in northern Australia and associations with heifer- and steer-production traits. Animal Production Science. 49(6). 399–412. 112 indexed citations

18.

Corbet, N. J., K. C. Prayaga, D. J. Johnston, & H. M. Burrow. (2007). GENETIC VARIATION IN ADAPTIVE TRAITS OF CATTLE IN NORTH AUSTRALIA. RUNE (Research UNE). 348–351. 3 indexed citations

19.

Corbet, N. J., B. M. Bindon, H. M. Burrow, et al.. (1999). Synchronization of estrus and fertility in Zebu beef heifers treated with three estrus synchronization protocols. Theriogenology. 51(3). 647–659. 8 indexed citations

20.

Hetzel, D. J. S., Gabrielle Davis, N. J. Corbet, et al.. (1997). Detection of gene markers linked to carcass and meat quality traits in a tropical beef herd.. 442–446. 7 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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