C.B. Banga

621 total citations
35 papers, 342 citations indexed

About

C.B. Banga is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, C.B. Banga has authored 35 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 22 papers in Agronomy and Crop Science and 11 papers in Animal Science and Zoology. Recurrent topics in C.B. Banga's work include Genetic and phenotypic traits in livestock (28 papers), Livestock Management and Performance Improvement (9 papers) and Effects of Environmental Stressors on Livestock (7 papers). C.B. Banga is often cited by papers focused on Genetic and phenotypic traits in livestock (28 papers), Livestock Management and Performance Improvement (9 papers) and Effects of Environmental Stressors on Livestock (7 papers). C.B. Banga collaborates with scholars based in South Africa, Botswana and United Kingdom. C.B. Banga's co-authors include David O. Norris, K. Dzama, Ntanganedzeni Mapholi, A. Maiwashe, K. Benyi, Dorian J. Garrick, F.W.C. Neser, Voster Muchenje, M. D. MacNeil and M. Chimonyo and has published in prestigious journals such as Scientific Reports, Frontiers in Genetics and animal.

In The Last Decade

C.B. Banga

31 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.B. Banga South Africa 12 230 171 110 56 48 35 342
Shalaulani James Nsoso Botswana 11 170 0.7× 132 0.8× 132 1.2× 42 0.8× 35 0.7× 46 362
Angelina Bossi Fraga Brazil 12 204 0.9× 161 0.9× 155 1.4× 41 0.7× 25 0.5× 30 355
H.H. Tambourá Burkina Faso 13 225 1.0× 84 0.5× 73 0.7× 113 2.0× 56 1.2× 31 460
K. C. Prayaga Australia 13 401 1.7× 220 1.3× 209 1.9× 37 0.7× 28 0.6× 21 548
AKFH Bhuiyan Bangladesh 13 257 1.1× 293 1.7× 223 2.0× 125 2.2× 27 0.6× 86 576
Bohani Mtileni South Africa 12 123 0.5× 97 0.6× 272 2.5× 35 0.6× 31 0.6× 43 430
M. J. Mackinnon Australia 9 296 1.3× 220 1.3× 86 0.8× 46 0.8× 45 0.9× 9 400
Leopoldo Andrade de Figueiredo Brazil 11 292 1.3× 154 0.9× 177 1.6× 27 0.5× 26 0.5× 43 393
E. F. Dzomba South Africa 12 293 1.3× 132 0.8× 93 0.8× 18 0.3× 7 0.1× 34 418
Mukund A. Kataktalware India 11 84 0.4× 117 0.7× 192 1.7× 27 0.5× 18 0.4× 44 351

Countries citing papers authored by C.B. Banga

Since Specialization
Citations

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

Fields of papers citing papers by C.B. Banga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.B. Banga

This figure shows the co-authorship network connecting the top 25 collaborators of C.B. Banga. A scholar is included among the top collaborators of C.B. Banga 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 C.B. Banga. C.B. Banga 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.
Banga, C.B., et al.. (2024). Evaluation of Non-Genetic Factors Affecting Birth Weight of Kalahari Red Goats in South Africa. Suid-Afrikaanse tydskrif vir landbouvoorligting/South African journal of agricultural extension. 52(4). 1–16.
2.
Scholtz, M. M., et al.. (2024). Key Interventions for Sustainable Animal Agriculture in Sub-Saharan Africa: A Science-Based Approach. Agricultural Sciences. 15(12). 1497–1510.
3.
Zishiri, Oliver T., et al.. (2023). Genetic parameter estimates for daily predicted gross feed efficiency and its association with energy-corrected milk in South African Holstein cattle. Tropical Animal Health and Production. 55(5). 339–339. 1 indexed citations
4.
Mrode, Raphael, M.G.G. Chagunda, Okeyo Mwai, et al.. (2023). Livestock phenomics and genetic evaluation approaches in Africa: current state and future perspectives. Frontiers in Genetics. 14. 1115973–1115973. 3 indexed citations
5.
Banga, C.B., et al.. (2022). Prediction of dry matter intake and gross feed efficiency using milk production and live weight in first-parity Holstein cows. Tropical Animal Health and Production. 54(5). 278–278. 6 indexed citations
6.
Banga, C.B., et al.. (2021). Genetic diversity and population structure of three native cattle populations in Mozambique. Tropical Animal Health and Production. 53(1). 117–117. 6 indexed citations
7.
Banos, Georgios, et al.. (2020). Joint genetic analysis for dairy cattle performance across countries in sub-Saharan Africa. South African Journal of Animal Science. 50(4). 507–520. 11 indexed citations
8.
Bhebhe, E., et al.. (2020). Genetic parameter estimates for milkability traits and their relationship with somatic cell score in South African Holstein cattle. Tropical Animal Health and Production. 53(1). 18–18. 3 indexed citations
9.
10.
Banga, C.B., et al.. (2019). Genetic diversity and relationships among three Southern African Nguni cattle populations. Tropical Animal Health and Production. 52(2). 753–762. 19 indexed citations
11.
Mrode, Raphael, Georgios Banos, Julie M.K. Ojango, et al.. (2019). Current situations of animal data recording, dairy improvement infrastructure, human capacity and strategic issues affecting dairy production in sub-Saharan Africa. Tropical Animal Health and Production. 51(6). 1699–1705. 17 indexed citations
12.
Ducrocq, Vincent, C.B. Banga, Tinyiko Edward Halimani, et al.. (2017). Estimation of genetic parameters for functional longevity in the South African Holstein cattle using a piecewise Weibull proportional hazards model. Journal of Animal Breeding and Genetics. 134(5). 364–372. 11 indexed citations
13.
Mapholi, Ntanganedzeni, A. Maiwashe, Oswald Matika, et al.. (2017). Genetic parameters for tick counts across months for different tick species and anatomical locations in South African Nguni cattle. Tropical Animal Health and Production. 49(6). 1201–1210. 17 indexed citations
14.
Banga, C.B., et al.. (2016). Impact of conformation traits on functional longevity in South African Holstein cattle. Animal Production Science. 58(3). 481–488. 8 indexed citations
15.
Mapholi, Ntanganedzeni, Munyaradzi Christopher Marufu, A. Maiwashe, et al.. (2014). Towards a genomics approach to tick (Acari: Ixodidae) control in cattle: A review. Ticks and Tick-borne Diseases. 5(5). 475–483. 58 indexed citations
16.
Norris, David O., et al.. (2013). Use of factor scores for predicting body weight from linear body measurements in three South African indigenous chicken breeds. Tropical Animal Health and Production. 46(2). 331–335. 13 indexed citations
17.
Banga, C.B., F.W.C. Neser, Japie Van der Westhuizen, & Dorian J. Garrick. (2010). Economic Value Of Live Weight In South African Dairy Cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 389. 1 indexed citations
18.
19.
Norris, David O., et al.. (2004). Relationships between Longevity and Linear Type Traits in Holstein Cattle Population of Southern Africa. Tropical Animal Health and Production. 36(8). 807–814. 24 indexed citations
20.
Norris, David O., et al.. (2004). Estimation of Genetic Parameters and Variance Components for Growth Traits of Nguni Cattle in Limpopo Province, South Africa. Tropical Animal Health and Production. 36(8). 801–806. 19 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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2026