R. A. Afolayan

515 total citations
24 papers, 409 citations indexed

About

R. A. Afolayan is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, R. A. Afolayan has authored 24 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 19 papers in Agronomy and Crop Science and 6 papers in Animal Science and Zoology. Recurrent topics in R. A. Afolayan's work include Genetic and phenotypic traits in livestock (22 papers), Reproductive Physiology in Livestock (10 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). R. A. Afolayan is often cited by papers focused on Genetic and phenotypic traits in livestock (22 papers), Reproductive Physiology in Livestock (10 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). R. A. Afolayan collaborates with scholars based in Australia, Nigeria and United States. R. A. Afolayan's co-authors include I.A. Adeyinka, C. A. M. Lakpini, N. M. Fogarty, L. J. Cummins, G. M. Gaunt, W. S. Pitchford, M. P. B. Deland, A. Gilmour, A. R. Gilmour and C. D. K. Bottema and has published in prestigious journals such as Journal of Animal Science, animal and Small Ruminant Research.

In The Last Decade

R. A. Afolayan

21 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. A. Afolayan Australia 11 339 251 136 33 29 24 409
Mehmet Akif Çam Türkiye 11 276 0.8× 266 1.1× 165 1.2× 41 1.2× 36 1.2× 27 532
Roger Hegarty Australia 8 210 0.6× 221 0.9× 149 1.1× 32 1.0× 21 0.7× 15 340
C. Papachristoforou Cyprus 11 172 0.5× 208 0.8× 107 0.8× 30 0.9× 46 1.6× 19 296
I. Shaat Egypt 10 301 0.9× 168 0.7× 79 0.6× 16 0.5× 57 2.0× 14 362
V. Buvanendran Nigeria 11 233 0.7× 216 0.9× 127 0.9× 29 0.9× 39 1.3× 48 355
Mustafa Olfaz Türkiye 8 172 0.5× 157 0.6× 140 1.0× 16 0.5× 45 1.6× 27 297
A. V. Portugal Portugal 6 155 0.5× 211 0.8× 132 1.0× 41 1.2× 11 0.4× 11 302
A.J. Lee Canada 13 338 1.0× 287 1.1× 109 0.8× 32 1.0× 25 0.9× 19 420
M. S. Khan Pakistan 11 230 0.7× 219 0.9× 84 0.6× 14 0.4× 38 1.3× 38 341
D. Kompan Slovenia 11 195 0.6× 100 0.4× 115 0.8× 27 0.8× 21 0.7× 53 312

Countries citing papers authored by R. A. Afolayan

Since Specialization
Citations

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

Fields of papers citing papers by R. A. Afolayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. A. Afolayan

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Afolayan. A scholar is included among the top collaborators of R. A. Afolayan 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. A. Afolayan. R. A. Afolayan 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.
Afolayan, R. A., et al.. (2021). INHERITANCE OF GROWTH AND LACTATION PARAMETERS IN YANKASA SHEEP. Nigerian Journal of Animal Production. 28(1). 9–19.
2.
Morris, C. A., W. S. Pitchford, N. G. Cullen, et al.. (2009). Quantitative trait loci for live animal and carcass composition traits in Jersey and Limousin back‐cross cattle finished on pasture or feedlot. Animal Genetics. 40(5). 648–654. 20 indexed citations
3.
4.
Afolayan, R. A., N. M. Fogarty, G. M. Gaunt, et al.. (2009). Genetic analysis of milk production and composition in crossbred ewes from different maternal genotypes. Animal Production Science. 49(1). 24–24. 10 indexed citations
5.
Afolayan, R. A., et al.. (2009). Genetic correlations between early growth and wool production of crossbred ewes and their subsequent reproduction. Animal Production Science. 49(1). 17–17. 8 indexed citations
7.
Afolayan, R. A., et al.. (2008). Genetic correlations between reproduction of crossbred ewes and the growth and carcass performance of their progeny. Small Ruminant Research. 80(1-3). 73–79. 7 indexed citations
8.
Afolayan, R. A., et al.. (2007). Reproductive performance and genetic parameters in first cross ewes from different maternal genotypes1. Journal of Animal Science. 86(4). 804–814. 39 indexed citations
9.
Afolayan, R. A., AR Gilmour, & NM Fogarty. (2007). Selection indexes for crossbred ewe reproduction and productivity. 491–494. 2 indexed citations
10.
Afolayan, R. A., et al.. (2007). Breed variation and genetic parameters for growth and body development in diverse beef cattle genotypes. animal. 1(1). 13–20. 35 indexed citations
11.
Fogarty, N. M., A. R. Gilmour, R. A. Afolayan, et al.. (2007). Genetic evaluation of crossbred lamb production. 5. Age of puberty and lambing performance of yearling crossbred ewes. Australian Journal of Agricultural Research. 58(9). 928–934. 24 indexed citations
12.
Afolayan, R. A., N. M. Fogarty, A. Gilmour, et al.. (2007). Genetic evaluation of crossbred lamb production. 3. Growth and carcass performance of second-cross lambs. Australian Journal of Agricultural Research. 58(5). 457–466. 20 indexed citations
13.
Fogarty, N. M., A. R. Gilmour, R. A. Afolayan, et al.. (2007). Genetic evaluation of crossbred lamb production. 4. Genetic parameters for first-cross animal performance. Australian Journal of Agricultural Research. 58(8). 839–846. 21 indexed citations
14.
Pitchford, W. S., et al.. (2006). Variance components for birth and carcass traits of crossbred cattle. Australian Journal of Experimental Agriculture. 46(2). 225–225. 11 indexed citations
15.
Afolayan, R. A., et al.. (2002). Lactation and Function of Curve Parameters in Yankasa Sheep. Asian-Australasian Journal of Animal Sciences. 15(6). 890–894. 5 indexed citations
16.
Afolayan, R. A., M. P. B. Deland, D. L. Rutley, et al.. (2002). PREDICTION OF CARCASS MEAT, FAT AND BONE YIELD ACROSS DIVERSE CATTLE GENOTYPES USING LIVE-ANIMAL MEASUREMENTS. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 11 indexed citations
17.
Afolayan, R. A., et al.. (2002). Genetic Variation in Growth and Body Dimensions of Jersey and Limousin Cross Cattle. 1. Pre- Weaning Performance. Asian-Australasian Journal of Animal Sciences. 15(9). 1371–1377. 7 indexed citations
18.
Oni, O. O., et al.. (2001). Relationships between Milk Yield, Post-Partum Body Weight and Reproductive Performance in Friesian x Bunaji Cattle. Asian-Australasian Journal of Animal Sciences. 14(11). 1516–1519. 6 indexed citations
19.
Afolayan, R. A., et al.. (2001). Genetic effects on shape and fatness of calves from diverse crosses.. Adelaide Research & Scholarship (AR&S) (University of Adelaide).
20.
Malau‐Aduli, A.E.O., et al.. (1993). Phenotypic relationship between body weights and subsequent milk production of Friesian - Bunaji crossbreds. 1 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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