Fidalis D. N. Mujibi

1.0k total citations
26 papers, 703 citations indexed

About

Fidalis D. N. Mujibi is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Fidalis D. N. Mujibi has authored 26 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 9 papers in Agronomy and Crop Science and 6 papers in Animal Science and Zoology. Recurrent topics in Fidalis D. N. Mujibi's work include Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Effects of Environmental Stressors on Livestock (5 papers). Fidalis D. N. Mujibi is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Effects of Environmental Stressors on Livestock (5 papers). Fidalis D. N. Mujibi collaborates with scholars based in Kenya, Canada and United States. Fidalis D. N. Mujibi's co-authors include S. S. Moore, D. H. Crews, E. L. Sherman, J. A. Basarab, Z. Wang, Obioha N Durunna, Evans K. Cheruiyot, E. K. Okine, Joshua O. Amimo and L. A. Goonewardene and has published in prestigious journals such as PLoS ONE, Journal of Animal Science and BioMed Research International.

In The Last Decade

Fidalis D. N. Mujibi

26 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fidalis D. N. Mujibi Kenya 15 470 349 215 68 60 26 703
Olivardo Facó Brazil 16 508 1.1× 344 1.0× 236 1.1× 68 1.0× 28 0.5× 62 703
Mengistie Taye Ethiopia 15 476 1.0× 276 0.8× 153 0.7× 71 1.0× 67 1.1× 70 700
Carina Visser South Africa 14 549 1.2× 285 0.8× 93 0.4× 58 0.9× 53 0.9× 73 688
Sven König Germany 15 332 0.7× 233 0.7× 200 0.9× 57 0.8× 52 0.9× 53 634
M. L. Martinez Brazil 17 535 1.1× 338 1.0× 220 1.0× 131 1.9× 49 0.8× 63 829
B. K. Joshi India 15 508 1.1× 293 0.8× 119 0.6× 63 0.9× 128 2.1× 70 718
A. Carta Italy 16 693 1.5× 403 1.2× 208 1.0× 84 1.2× 173 2.9× 65 1.1k
Enyew Negussie Finland 17 699 1.5× 759 2.2× 280 1.3× 70 1.0× 61 1.0× 63 1.0k
Aníbal Eugênio Vercesi Filho Brazil 13 419 0.9× 236 0.7× 159 0.7× 94 1.4× 82 1.4× 58 584
Mouad Chentouf Belgium 14 193 0.4× 185 0.5× 109 0.5× 80 1.2× 40 0.7× 51 527

Countries citing papers authored by Fidalis D. N. Mujibi

Since Specialization
Citations

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

Fields of papers citing papers by Fidalis D. N. Mujibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fidalis D. N. Mujibi. 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 Fidalis D. N. Mujibi. The network helps show where Fidalis D. N. Mujibi may publish in the future.

Co-authorship network of co-authors of Fidalis D. N. Mujibi

This figure shows the co-authorship network connecting the top 25 collaborators of Fidalis D. N. Mujibi. A scholar is included among the top collaborators of Fidalis D. N. Mujibi 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 Fidalis D. N. Mujibi. Fidalis D. N. Mujibi 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.
Gachuiri, C.K., et al.. (2023). Diversity and functional analysis of rumen and fecal microbial communities associated with dietary changes in crossbreed dairy cattle. PLoS ONE. 18(1). e0274371–e0274371. 14 indexed citations
2.
Cheruiyot, Evans K., et al.. (2022). Species-informative SNP markers for characterising freshwater prawns of genus Macrobrachium in Cameroon. PLoS ONE. 17(10). e0263540–e0263540. 1 indexed citations
3.
Peters, Sunday O., et al.. (2020). RNA-seq profiling of skin in temperate and tropical cattle. Journal of Animal Science and Technology. 62(2). 141–158. 10 indexed citations
4.
Gachuiri, C.K., et al.. (2020). A Comparison of Two DNA Metagenomic Bioinformatic Pipelines While Evaluating the Microbial Diversity in Feces of Tanzanian Small Holder Dairy Cattle. BioMed Research International. 2020(1). 2348560–2348560. 22 indexed citations
5.
Mujibi, Fidalis D. N., et al.. (2019). Application of Multiple Unsupervised Models to Validate Clusters Robustness in Characterizing Smallholder Dairy Farmers. The Scientific World JOURNAL. 2019. 1–12. 9 indexed citations
6.
Mujibi, Fidalis D. N., et al.. (2019). Performance Evaluation of Highly Admixed Tanzanian Smallholder Dairy Cattle Using SNP Derived Kinship Matrix. Frontiers in Genetics. 10. 375–375. 12 indexed citations
7.
8.
Cheruiyot, Evans K., et al.. (2018). Signatures of Selection in Admixed Dairy Cattle in Tanzania. Frontiers in Genetics. 9. 607–607. 52 indexed citations
9.
Mujibi, Fidalis D. N., Edward Okoth, Evans K. Cheruiyot, et al.. (2018). Genetic diversity, breed composition and admixture of Kenyan domestic pigs. PLoS ONE. 13(1). e0190080–e0190080. 43 indexed citations
10.
Cheruiyot, Evans K., et al.. (2018). Milk Composition for Admixed Dairy Cattle in Tanzania. Frontiers in Genetics. 9. 142–142. 21 indexed citations
11.
Mujibi, Fidalis D. N., et al.. (2018). Multi-country investigation of factors influencing breeding decisions by smallholder dairy farmers in sub-Saharan Africa. Tropical Animal Health and Production. 51(2). 395–409. 29 indexed citations
12.
Peters, Sunday O., Marcos De Donato, Fidalis D. N. Mujibi, et al.. (2017). Genetic variation in N- and C-terminal regions of bovine DNAJA1 heat shock protein gene in African, Asian and American cattle. PubMed. 6. 1–8. 5 indexed citations
13.
Durunna, Obioha N, Fidalis D. N. Mujibi, J. A. Basarab, et al.. (2013). Genetic parameters for production and feeding behaviour traits in crossbred steers fed a finishing diet at different ages. Canadian Journal of Animal Science. 93(1). 79–87. 7 indexed citations
14.
Malmfors, Birgitta, Kjell Arne Johansson, Morris Agaba, et al.. (2013). Cattle Breeds: Extinction or Quasi-Extant?. Resources. 2(3). 335–357. 13 indexed citations
15.
Mujibi, Fidalis D. N., J. D. Nkrumah, Obioha N Durunna, et al.. (2011). Associations of marker panel scores with feed intake and efficiency traits in beef cattle using preselected single nucleotide polymorphisms1. Journal of Animal Science. 89(11). 3362–3371. 14 indexed citations
16.
Mujibi, Fidalis D. N., J. D. Nkrumah, Obioha N Durunna, et al.. (2011). Accuracy of genomic breeding values for residual feed intake in crossbred beef cattle1. Journal of Animal Science. 89(11). 3353–3361. 48 indexed citations
17.
Durunna, Obioha N, Fidalis D. N. Mujibi, L. A. Goonewardene, et al.. (2010). Feed efficiency differences and reranking in beef steers fed grower and finisher diets1. Journal of Animal Science. 89(1). 158–167. 99 indexed citations
18.
Mujibi, Fidalis D. N., et al.. (2010). Season of testing and its effect on feed intake and efficiency in growing beef cattle1. Journal of Animal Science. 88(12). 3789–3799. 21 indexed citations
19.
Mujibi, Fidalis D. N. & D. H. Crews. (2009). Genetic parameters for calving ease, gestation length, and birth weight in Charolais cattle1. Journal of Animal Science. 87(9). 2759–2766. 52 indexed citations
20.
Moore, S. S., Fidalis D. N. Mujibi, & E. L. Sherman. (2008). Molecular basis for residual feed intake in beef cattle1. Journal of Animal Science. 87(suppl_14). E41–E47. 88 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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