A.M. Okeyo

2.4k total citations
74 papers, 1.7k citations indexed

About

A.M. Okeyo is a scholar working on Genetics, Agronomy and Crop Science and Management, Monitoring, Policy and Law. According to data from OpenAlex, A.M. Okeyo has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Genetics, 42 papers in Agronomy and Crop Science and 28 papers in Management, Monitoring, Policy and Law. Recurrent topics in A.M. Okeyo's work include Genetic and phenotypic traits in livestock (52 papers), Rangeland Management and Livestock Ecology (28 papers) and Livestock Management and Performance Improvement (16 papers). A.M. Okeyo is often cited by papers focused on Genetic and phenotypic traits in livestock (52 papers), Rangeland Management and Livestock Ecology (28 papers) and Livestock Management and Performance Improvement (16 papers). A.M. Okeyo collaborates with scholars based in Kenya, United Kingdom and Austria. A.M. Okeyo's co-authors include Julie M.K. Ojango, I.S. Kosgey, Johann Sölkner, María Wurzinger, Aynalem Haile, Raphael Mrode, Tadele Mirkena, J.E.O. Rege, G. Duguma and Markos Tibbo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Ecological Modelling.

In The Last Decade

A.M. Okeyo

68 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.M. Okeyo Kenya 24 1.1k 666 516 494 297 74 1.7k
Solomon Gizaw Ethiopia 22 1.1k 1.0× 710 1.1× 544 1.1× 371 0.8× 273 0.9× 108 1.6k
Aynalem Haile Ethiopia 24 1.4k 1.3× 899 1.3× 670 1.3× 504 1.0× 365 1.2× 134 2.1k
A.K. Kahi Kenya 26 1.2k 1.1× 915 1.4× 344 0.7× 876 1.8× 247 0.8× 145 2.1k
I.S. Kosgey Kenya 17 754 0.7× 534 0.8× 387 0.8× 275 0.6× 218 0.7× 46 1.1k
Tadelle Dessie Ethiopia 31 1.4k 1.2× 743 1.1× 439 0.9× 1.8k 3.6× 378 1.3× 198 3.2k
Okeyo Mwai Kenya 20 823 0.7× 371 0.6× 305 0.6× 283 0.6× 235 0.8× 56 1.2k
Azage Tegegne Ethiopia 24 653 0.6× 1.1k 1.6× 602 1.2× 373 0.8× 416 1.4× 169 2.0k
Tesfaye Getachew Ethiopia 17 705 0.6× 403 0.6× 327 0.6× 262 0.5× 183 0.6× 136 1.4k
Julie M.K. Ojango Kenya 19 730 0.7× 497 0.7× 210 0.4× 334 0.7× 125 0.4× 66 1.0k
Abdulmojeed Yakubu Nigeria 25 871 0.8× 546 0.8× 153 0.3× 885 1.8× 178 0.6× 136 1.9k

Countries citing papers authored by A.M. Okeyo

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Okeyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.M. Okeyo

This figure shows the co-authorship network connecting the top 25 collaborators of A.M. Okeyo. A scholar is included among the top collaborators of A.M. Okeyo 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 A.M. Okeyo. A.M. Okeyo 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.
Mrode, Raphael, et al.. (2025). Genetic Relationships Among Resilience, Fertility and Milk Production Traits in Crossbred Dairy Cows Performing in Sub‐Saharan Africa. Journal of Animal Breeding and Genetics. 142(6). 630–642.
2.
Ojango, Julie M.K., et al.. (2025). Lamb survival and ewe longevity in a crossbreeding program between indigenous and exotic sheep in semi-arid lands. Small Ruminant Research. 249. 107520–107520.
4.
Mrode, Raphael, et al.. (2024). Genetic analysis of phenotypic indicators for heat tolerance in crossbred dairy cattle. animal. 18(5). 101139–101139. 3 indexed citations
6.
Aliloo, Hassan, Raphael Mrode, A.M. Okeyo, & John P. Gibson. (2020). Ancestral Haplotype Mapping for GWAS and Detection of Signatures of Selection in Admixed Dairy Cattle of Kenya. Frontiers in Genetics. 11. 544–544. 13 indexed citations
7.
Aliloo, Hassan, Raphael Mrode, A.M. Okeyo, et al.. (2018). Optimal design of low density marker panels for genotype imputation. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 146. 1 indexed citations
8.
Aliloo, Hassan, Raphael Mrode, A.M. Okeyo, et al.. (2018). The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa. Journal of Dairy Science. 101(10). 9108–9127. 31 indexed citations
9.
Ojango, Julie M.K., James Audho, Tadele Mirkena, et al.. (2016). Live weight, conformation, carcass traits and economic values of ram lambs of Red Maasai and Dorper sheep and their crosses. Tropical Animal Health and Production. 49(1). 121–129. 15 indexed citations
10.
Lagat, Job K., et al.. (2015). Constraints to use of breeding services in Kenya. 4(4). 211–215. 5 indexed citations
11.
Mirkena, Tadele, E. Strandberg, James Audho, et al.. (2015). Participatory definition of breeding objectives for sheep breeds under pastoral systems—the case of Red Maasai and Dorper sheep in Kenya. Tropical Animal Health and Production. 48(1). 9–20. 33 indexed citations
12.
Mirkena, Tadele, James Audho, Julie M.K. Ojango, et al.. (2014). Breeding objectives for Red Maasai and Dorper sheep in Kenya – a participatory approach. Proceedings of the World Congress on Genetics Applied to Livestock Production. 32. 2 indexed citations
13.
Amimo, Joshua O., et al.. (2013). Feedlot performance of the Nguni ecotypes in southern Mozambique. Livestock research for rural development. 25(6). 6 indexed citations
14.
Wurzinger, María, et al.. (2009). The sedentarisation process of the Bahima in Uganda: An emic view. African Journal of Agricultural Research. 4(11). 1154–1158. 18 indexed citations
15.
Wurzinger, María, Deo Birungi Ndumu, A.M. Okeyo, & Johann Sölkner. (2008). Lifestyle and herding practices of Bahima pastoralists in Uganda. African Journal of Agricultural Research. 3(8). 542–548. 15 indexed citations
16.
Wurzinger, María, Deo Birungi Ndumu, R. Baumung, et al.. (2006). Assessing stated preferences through the use of choice experiments: valuing (re)production versus aesthetics in the breeding goals of Ugandan Ankole cattle breeders.. 34. 13 indexed citations
17.
Okeyo, A.M., et al.. (2006). The small East African shorthorn zebu cows in Kenya. I: Linear body measurements. Tropical Animal Health and Production. 38(1). 65–74. 73 indexed citations
18.
Okeyo, A.M., et al.. (2002). Characterization of Indigenous Fat-tailed and Fat-rumped Hair Sheep in Kenya: Diversity in Blood Proteins. Tropical Animal Health and Production. 34(6). 515–524. 4 indexed citations
19.
Okeyo, A.M., et al.. (1999). Carcass tissue distribution and characteristics of Small East African and Galla goats, and their F1 crosses to Toggenburg and Anglo-Nubian. The Indian Journal of Animal Sciences. 71(9). 6 indexed citations
20.
Okeyo, A.M., et al.. (1998). Effects of parity and previous parous status on reproductive and productive performance of Kenya Boran cows. Tropical Agriculture. 75(3). 384–389. 3 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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