K. Dzama

6.1k total citations
209 papers, 4.4k citations indexed

About

K. Dzama is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, K. Dzama has authored 209 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Genetics, 93 papers in Agronomy and Crop Science and 67 papers in Animal Science and Zoology. Recurrent topics in K. Dzama's work include Genetic and phenotypic traits in livestock (116 papers), Ruminant Nutrition and Digestive Physiology (39 papers) and Animal Nutrition and Physiology (36 papers). K. Dzama is often cited by papers focused on Genetic and phenotypic traits in livestock (116 papers), Ruminant Nutrition and Digestive Physiology (39 papers) and Animal Nutrition and Physiology (36 papers). K. Dzama collaborates with scholars based in South Africa, Zimbabwe and United Kingdom. K. Dzama's co-authors include M. Chimonyo, Voster Muchenje, Cletos Mapiye, J.G. Raats, P.E. Strydom, F. C. Muchadeyi, Munyaradzi Christopher Marufu, A. Hugo, Tinyiko Edward Halimani and Godswill Makombe and has published in prestigious journals such as PLoS ONE, Food Chemistry and Ecological Economics.

In The Last Decade

K. Dzama

205 papers receiving 4.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K. Dzama 2.0k 1.6k 1.5k 596 584 209 4.4k
M. Chimonyo 2.2k 1.1× 1.2k 0.8× 1.5k 1.0× 609 1.0× 593 1.0× 216 4.4k
Hélder Louvandini 1.7k 0.9× 862 0.6× 1.4k 1.0× 204 0.3× 959 1.6× 214 3.5k
T. N. Barry 1.4k 0.7× 1.1k 0.7× 4.4k 2.9× 904 1.5× 723 1.2× 121 6.3k
Cletos Mapiye 1.4k 0.7× 552 0.4× 1.2k 0.8× 399 0.7× 110 0.2× 164 3.4k
Bernard Faye 591 0.3× 714 0.5× 1000 0.7× 393 0.7× 404 0.7× 375 4.6k
Thomas H Terrill 2.0k 1.0× 466 0.3× 1.7k 1.2× 589 1.0× 2.2k 3.8× 136 4.7k
Barbara Rischkowsky 632 0.3× 1.6k 1.0× 947 0.6× 501 0.8× 114 0.2× 147 3.0k
J. V. Nolan 883 0.4× 901 0.6× 2.5k 1.7× 235 0.4× 464 0.8× 168 3.6k
C.A. Sandoval-Castro 1.4k 0.7× 298 0.2× 912 0.6× 321 0.5× 1.7k 2.9× 191 3.2k
Tadelle Dessie 1.8k 0.9× 1.4k 0.9× 743 0.5× 378 0.6× 92 0.2× 198 3.2k

Countries citing papers authored by K. Dzama

Since Specialization
Citations

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

Fields of papers citing papers by K. Dzama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Dzama

This figure shows the co-authorship network connecting the top 25 collaborators of K. Dzama. A scholar is included among the top collaborators of K. Dzama 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. Dzama. K. Dzama 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.
Makombe, Godswill, et al.. (2025). Revolutionising the Public Extension System for Smallholder Livestock Farmers: User Experiences and the Prospects of Using Information and Communication Technologies in North West Province, South Africa. Suid-Afrikaanse tydskrif vir landbouvoorligting/South African journal of agricultural extension. 53(1). 120–138.
2.
Dzama, K., et al.. (2024). Estimating milk production and energy-use efficiency of pasture-grazed Holstein and Jersey cows using mathematical models. South African Journal of Animal Science. 53(3). 326–337. 1 indexed citations
3.
Mapiye, Cletos, et al.. (2022). Participatory inventory and nutritional evaluation of local forage resources for smallholder free-range beef production in semi-arid areas of South Africa. African Journal of Range and Forage Science. 40(1). 62–70. 6 indexed citations
5.
Esposito, Giulia, et al.. (2022). Application of Gamma Irradiation Treatment on the Physicochemical and Microbiological Quality of an Artisanal Hard Cheese. Applied Sciences. 12(6). 3142–3142. 14 indexed citations
6.
Esposito, Giulia, et al.. (2021). A Survey of Cheese from Small-Scale Artisanal Producers in Western Cape, South Africa. Journal of Food Quality. 2021. 1–9. 4 indexed citations
7.
Chikwanha, Obert C., et al.. (2021). Impact of water scarcity on dryland sheep meat production and quality: Key recovery and resilience strategies. Journal of Arid Environments. 190. 104511–104511. 19 indexed citations
9.
Halimani, Tinyiko Edward, et al.. (2020). Domestic Free-Range Pig Genetic Resources in Southern Africa: Progress and Prospects. Diversity. 12(2). 68–68. 9 indexed citations
10.
Hawkins, Heidi‐Jayne, Voster Muchenje, Johnfisher Mupangwa, et al.. (2019). Rotational grazing approaches reduces external and internal parasite loads in cattle. African Journal of Range and Forage Science. 36(3). 151–159. 11 indexed citations
11.
Oosting, S.J., et al.. (2017). Genetic Traits of Relevance to Sustainability of Smallholder Sheep Farming Systems in South Africa. Sustainability. 9(8). 1225–1225. 26 indexed citations
12.
Taylor, Jeremy F., et al.. (2017). Genetic diversity and population structure of South African smallholder farmer sheep breeds determined using the OvineSNP50 beadchip. Tropical Animal Health and Production. 49(8). 1771–1777. 13 indexed citations
13.
Chimonyo, M., et al.. (2015). Classical Swine Fever Changes the Way Farmers Value Pigs in South Africa. Journal of Agricultural Economics. 66(3). 812–831. 6 indexed citations
14.
Muchenje, Voster, et al.. (2013). Effective population size and inbreeding rate of indigenous Nguni cattle under in situ conservation in the low-input communal production system.. South African Journal of Animal Science. 43(2). 137–142. 9 indexed citations
15.
Mtileni, Bohani, F. C. Muchadeyi, Steffen Weigend, et al.. (2010). A comparison of genetic diversity between South African conserved and field chicken populations using microsatellite markers. South African Journal of Animal Science. 40(5). 462–466. 3 indexed citations
16.
Muchenje, Voster, et al.. (2008). Cooking loss components of beef from Nguni, Bonsmara and Angus steers. African Journal of Agricultural Research. 3(6). 416–420. 61 indexed citations
17.
Halimani, Tinyiko Edward, et al.. (2007). Seasonal changes in body condition scores of pigs and chemical composition of pig feed resources in a semi- arid smallholder farming area of Zimbabwe. African Journal of Agricultural Research. 2(9). 468–474. 22 indexed citations
18.
Halimani, Tinyiko Edward, K. Dzama, M. Chimonyo, & E. Bhebhe. (2005). Use of leguminous leaf meals in smallholder pig production in Zimbabwe. 7. 579–582. 1 indexed citations
19.
Dzama, K., et al.. (1997). Growth characteristics and age of dam adjustment factors of purebred indigenous and exotic cattle in Zimbabwe. 71. 5–8. 1 indexed citations
20.
Dzama, K., et al.. (1994). Incorporation of genetic concepts into a general cattle production systems model.. Proceedings of the World Congress on Genetics applied to Livestock Production. 300–303. 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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