K. C. Prayaga

729 total citations
21 papers, 548 citations indexed

About

K. C. Prayaga is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, K. C. Prayaga has authored 21 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 11 papers in Agronomy and Crop Science and 10 papers in Animal Science and Zoology. Recurrent topics in K. C. Prayaga's work include Genetic and phenotypic traits in livestock (15 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Effects of Environmental Stressors on Livestock (5 papers). K. C. Prayaga is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Ruminant Nutrition and Digestive Physiology (7 papers) and Effects of Environmental Stressors on Livestock (5 papers). K. C. Prayaga collaborates with scholars based in Australia, United States and South Africa. K. C. Prayaga's co-authors include John Henshall, H. M. Burrow, N. J. Corbet, SJ Eady, Geoffry Fordyce, M. L. Wolcott, D. J. Johnston, S. K. DeNise, R. G. Holroyd and Rachel Hawken and has published in prestigious journals such as Journal of Animal Science, Asian-Australasian Journal of Animal Sciences and Animal Production Science.

In The Last Decade

K. C. Prayaga

21 papers receiving 515 citations

Peers

K. C. Prayaga

GENET

ACS

ASZ

L. L. L. Prince India

M. J. I. Yokoo Brazil

R. Roy India

V. L. Barile Italy

C. R. Marcondes Brazil

D.O. Anindo Kenya

J. C. do C. Panetto Brazil

J.P.C. Greyling South Africa

C.B. Banga South Africa

Angelina Bossi Fraga Brazil

L. L. L. Prince India

K. C. Prayaga

451 ×1.1

GENET

279 ×1.3

ACS

262 ×1.3

ASZ

66 ×0.6

53 ×0.9

Citations per year, relative to K. C. Prayaga K. C. Prayaga (= 1×) peers L. L. L. Prince

Countries citing papers authored by K. C. Prayaga

Since Specialization

Citations

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

Fields of papers citing papers by K. C. Prayaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. C. Prayaga. 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 K. C. Prayaga. The network helps show where K. C. Prayaga may publish in the future.

Co-authorship network of co-authors of K. C. Prayaga

This figure shows the co-authorship network connecting the top 25 collaborators of K. C. Prayaga. A scholar is included among the top collaborators of K. C. Prayaga 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 K. C. Prayaga. K. C. Prayaga 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

Cockrum, Rebecca, Scott E Speidel, Janeen L. Salak‐Johnson, et al.. (2016). Genetic parameters estimated at receiving for circulating cortisol, immunoglobulin G, interleukin 8, and incidence of bovine respiratory disease in feedlot beef steers1. Journal of Animal Science. 94(7). 2770–2778. 10 indexed citations

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

Prayaga, K. C., et al.. (2009). Genetics of adaptive traits in heifers and their relationship to growth, pubertal and carcass traits in two tropical beef cattle genotypes. Animal Production Science. 49(6). 413–413. 69 indexed citations

Corbet, N. J., B. M. Burns, D. J. Johnston, et al.. (2009). Genetic variation in growth, hormonal and seminal traits of young tropically adapted bulls.. RUNE (Research UNE). 121–124. 9 indexed citations

Prayaga, K. C., et al.. (2009). Genetic markers for polled condition in cattle - the current status and the future plans. RUNE (Research UNE). 92–95. 1 indexed citations

Prayaga, K. C., John Henshall, David L. Swain, & A. Gilmour. (2008). Estimation of maternal variance components considering cow-calf contacts under extensive pastoral systems. Journal of Animal Science. 86(5). 1081–1088. 1 indexed citations

Lee, Caroline, K. C. Prayaga, Andrew Fisher, & John Henshall. (2008). Behavioral aspects of electronic bull separation and mate allocation in multiple-sire mating paddocks1. Journal of Animal Science. 86(7). 1690–1696. 14 indexed citations

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

Prayaga, K. C.. (2007). Genetic options to replace dehorning in beef cattle—a review*. Australian Journal of Agricultural Research. 58(1). 1–8. 39 indexed citations

10.

Corbet, N. J., et al.. (2006). Evaluation of Bonsmara and Belmont Red cattle breeds in South Africa. 2. Genetic parameters for growth and fertility. Australian Journal of Experimental Agriculture. 46(2). 213–213. 15 indexed citations

11.

Prayaga, K. C. & John Henshall. (2005). Adaptability in tropical beef cattle: genetic parameters of growth, adaptive and temperament traits in a crossbred population. Australian Journal of Experimental Agriculture. 45(8). 971–971. 62 indexed citations

12.

Prayaga, K. C.. (2004). Evaluation of beef cattle genotypes and estimation of direct and maternal genetic effects in a tropical environment. 3. Fertility and calf survival traits. Australian Journal of Agricultural Research. 55(8). 811–824. 18 indexed citations

13.

Prayaga, K. C.. (2003). Evaluation of beef cattle genotypes and estimation of direct and maternal genetic effects in a tropical environment. 1. Growth traits. Australian Journal of Agricultural Research. 54(10). 1013–1025. 30 indexed citations

14.

Prayaga, K. C.. (2003). Evaluation of beef cattle genotypes and estimation of direct and maternal genetic effects in a tropical environment. 2. Adaptive and temperament traits. Australian Journal of Agricultural Research. 54(10). 1027–1038. 24 indexed citations

15.

Burrow, H. M. & K. C. Prayaga. (2003). Correlated responses in productive and adaptive traits and temperament following selection for growth and heat resistance in tropical beef cattle. Livestock Production Science. 86(1-3). 143–161. 29 indexed citations

16.

Prayaga, K. C. & SJ Eady. (2003). Performance of purebred and crossbred rabbits in Australia: Individual growth and slaughter traits. Australian Journal of Agricultural Research. 54(2). 159–166. 12 indexed citations

17.

Prayaga, K. C., John Henshall, & H. M. Burrow. (2003). Optimisation of breed proportions in tropically adapted beef composites based on growth and resistance traits.. 302–305. 2 indexed citations

18.

Prayaga, K. C. & SJ Eady. (2002). Performance of purebred and crossbred rabbits in Australia: doe reproductive and pre-weaning litter traits. Australian Journal of Agricultural Research. 53(9). 993–1001. 14 indexed citations

19.

Prayaga, K. C. & SJ Eady. (2001). Factors affecting litter size and birth weight in rabbits.. 7 indexed citations

20.

Prayaga, K. C. & SJ Eady. (2000). Rabbit Farming for Meat Production in Australia: Preliminary Estimates of Economic Values for Production Traits. Asian-Australasian Journal of Animal Sciences. 13. 357–359. 10 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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