E. C. Akanno

527 total citations
26 papers, 367 citations indexed

About

E. C. Akanno is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, E. C. Akanno has authored 26 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 9 papers in Animal Science and Zoology and 6 papers in Plant Science. Recurrent topics in E. C. Akanno's work include Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Animal Nutrition and Physiology (5 papers). E. C. Akanno is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers) and Animal Nutrition and Physiology (5 papers). E. C. Akanno collaborates with scholars based in Canada, Egypt and United States. E. C. Akanno's co-authors include Graham Plastow, J. A. Basarab, Mohammed Abo-Ismail, Flávio S. Schenkel, J. A. B. Robinson, John J. Crowley, M. D. MacNeil, Liuhong Chen, N. J. Okeudo and Changxi Li and has published in prestigious journals such as Journal of Animal Science, Frontiers in Genetics and Genome.

In The Last Decade

E. C. Akanno

24 papers receiving 346 citations

Peers

E. C. Akanno

GENET

ASZ

ACS

М. Г. Смарагдов Russia

Guilherme Costa Venturini Brazil

Hossein Mehrban Iran

Mohsen Jafarikia Canada

Deukhwan Lee South Korea

Emhimad A. Abdalla Canada

Mehdi Bohlouli Germany

Valdecy Aparecida Rocha da Cruz Brazil

Gordon Vander Voort Canada

M.C. Cozzi Italy

М. Г. Смарагдов Russia

E. C. Akanno

288 ×1.0

GENET

99 ×0.8

ASZ

79 ×1.0

ACS

66 ×0.9

43 ×0.9

Citations per year, relative to E. C. Akanno E. C. Akanno (= 1×) peers М. Г. Смарагдов

Countries citing papers authored by E. C. Akanno

Since Specialization

Citations

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

Fields of papers citing papers by E. C. Akanno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. C. Akanno

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

Li, Jiyuan, Robert Mukiibi, Janelle A. Jiminez, et al.. (2022). Applying multi-omics data to study the genetic background of bovine respiratory disease infection in feedlot crossbred cattle. Frontiers in Genetics. 13. 1046192–1046192. 10 indexed citations

Li, Jiyuan, E. C. Akanno, Mohammed Abo-Ismail, et al.. (2020). Genomic Heritability and Genome-Wide Association Studies of Plasma Metabolites in Crossbred Beef Cattle. Frontiers in Genetics. 11. 538600–538600. 13 indexed citations

MacNeil, M. D., Mohammed Abo-Ismail, John J. Crowley, et al.. (2020). Estimation of genetic parameters and trends for growth traits in Hays Converter cattle using multiple-trait and random regression models. Livestock Science. 241. 104245–104245. 1 indexed citations

Akanno, E. C., Liuhong Chen, Michael Vinsky, et al.. (2019). Evaluation of a genomic-enhanced sorting system for feeder cattle1. Journal of Animal Science. 97(3). 1066–1075. 4 indexed citations

Akanno, E. C., Liuhong Chen, Barry Irving, et al.. (2018). Improvement of cow feed efficiency using molecular breeding values for residual feed intake - The “Kinsella Breeding Project”. Proceedings of the World Congress on Genetics Applied to Livestock Production. 809.

Akanno, E. C., Liuhong Chen, Mohammed Abo-Ismail, et al.. (2018). Genome-wide association scan for heterotic quantitative trait loci in multi-breed and crossbred beef cattle. Genetics Selection Evolution. 50(1). 48–48. 42 indexed citations

Abo-Ismail, Mohammed, E. C. Akanno, Brian Karisa, et al.. (2018). Development and validation of a small SNP panel for feed efficiency in beef cattle1. Journal of Animal Science. 96(2). 375–397. 45 indexed citations

Akanno, E. C., Liuhong Chen, Barry Irving, et al.. (2018). PSIV-26 Late-Breaking: Evaluation of a genome-based sorting system for feeder cattle.. Journal of Animal Science. 96(suppl_3). 133–133.

Abo-Ismail, Mohammed, John Crowley, E. C. Akanno, et al.. (2018). 250 Genome wide Association analyses for meat quality traits in multibreed and crossbred beef cattle.. Journal of Animal Science. 96(suppl_3). 84–84. 1 indexed citations

10.

Basarab, J. A., John J. Crowley, Mohammed Abo-Ismail, et al.. (2018). Genomic retained heterosis effects on fertility and lifetime productivity in beef heifers. Canadian Journal of Animal Science. 98(4). 642–655. 12 indexed citations

11.

Akanno, E. C., Liuhong Chen, Mohammed Abo-Ismail, et al.. (2017). Genomic prediction of breed composition and heterosis effects in Angus, Charolais and Hereford crosses using 50K genotypes. Canadian Journal of Animal Science. 21 indexed citations

12.

Lu, Duc, E. C. Akanno, John J. Crowley, et al.. (2016). Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes1. Journal of Animal Science. 94(4). 1342–1353. 30 indexed citations

13.

Abo-Ismail, Mohammed, E. C. Akanno, John Crowley, et al.. (2016). 0310 Assessing genetic diversity in Canadian beef cattle populations using Illumina BovineSNP50 chip. Journal of Animal Science. 94(suppl_5). 148–149. 4 indexed citations

14.

Akanno, E. C., Graham Plastow, Carolyn Fitzsimmons, et al.. (2015). Genome-wide association for heifer reproduction and calf performance traits in beef cattle. Genome. 58(12). 549–557. 21 indexed citations

15.

Akanno, E. C.. (2014). Accuracy of Molecular Breeding Values for Production and Efficiency Traits of Canadian Crossbred Beef Cattle Using a Cross-Validation Approach. 2 indexed citations

16.

Akanno, E. C., Graham Plastow, B. W. Woodward, et al.. (2014). Reliability of molecular breeding values for Warner-Bratzler shear force and carcass traits of beef cattle – An independent validation study1. Journal of Animal Science. 92(7). 2896–2904. 22 indexed citations

17.

Akanno, E. C., et al.. (2013). Meta-analysis of genetic parameter estimates for reproduction, growth and carcass traits of pigs in the tropics. Livestock Science. 152(2-3). 101–113. 56 indexed citations

18.

Okeudo, N. J., et al.. (2007). Reproductive and Hematological Characteristics of the Nigerian Indigenous and Large White Pigs in a Humid Tropical Environment. Asian Journal of Animal and Veterinary Advances. 3(1). 17–23. 10 indexed citations

19.

Okeudo, N. J., et al.. (2005). Growth Rate, Carcass Characteristics and Organoleptic Quality of Broiler Fed Graded Levels of Palm Kernel Cake. International Journal of Poultry Science. 4(5). 330–333. 24 indexed citations

20.

Okoli, I. C., et al.. (2004). Concentrations of Aerial Pollutant Gases in Selected Poultry Pens in Imo State, Nigeria. International Journal of Poultry Science. 3(6). 427–431. 4 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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