This map shows the geographic impact of Stephen Mugo'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 Stephen Mugo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Mugo more than expected).
This network shows the impact of papers produced by Stephen Mugo. 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 Stephen Mugo. The network helps show where Stephen Mugo may publish in the future.
Co-authorship network of co-authors of Stephen Mugo
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Mugo.
A scholar is included among the top collaborators of Stephen Mugo 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 Stephen Mugo. Stephen Mugo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mwololo, J. K., et al.. (2018). Quantitative Trait Loci Mapping in Maize for Resistance to Larger Grain Borer. Maydica. 63(3). 9.1 indexed citations
5.
Mugo, Stephen, et al.. (2017). Screening Kenya Local Coastal Maize Landraces for Resistance to Maize Weevil (Sitophilus Zeamais Motschulsky) and Larger Grain Borer (Prostephanus Truncates). 7(1). 5–11.1 indexed citations
6.
Derera, John, et al.. (2016). A review of genetic analysis and response to selection for resistance to Busseola fusca and Chilo partellus, stem borers in tropical maize germplasm: a Kenyan perspective.. Maydica. 61(1). 11.5 indexed citations
7.
Karaya, Haron, et al.. (2012). Identification of new maize inbred lines with resistance to Striga hermonthica (Del.) Benth.. SHILAP Revista de lepidopterología. 1(2). 131–142.7 indexed citations
Mwololo, J. K., Stephen Mugo, P. Okori, et al.. (2010). Genetic diversity for resistance to larger grain borer in maize hybrids and open pollinated varieties in Kenya.. 535–539.11 indexed citations
Songa, J. M., et al.. (2008). Bt-transgenic maize does not deter oviposition by two important African cereal stem borers, Chilo partellus Swinhoe (Lepidoptera: Crambidae) and Sesamia calamistis Hampson (Lepidoptera: Noctuidae). Journal of Applied Biosciences. 10(1). 424–433.9 indexed citations
15.
Löveï, Gábor L., et al.. (2008). Developmental and mortality responses of Chilo partellus Swinhoe (Lepidoptera: Crambidae) and Sesamia calamistis Hampson (Lepidoptera: Noctuidae) following partial feeding on Bt-transgenic maize. University of Nairobi Research Archive (University of Nairobi). 11. 554–563.4 indexed citations
16.
Mugo, Stephen, et al.. (2007). Developing insect resistance management strategies for Bt maize in Kenya.. 1067–1070.6 indexed citations
17.
Mugo, Stephen, et al.. (2007). Evaluation of stem borer resistant maize open pollinated varieties and hybrids on-station and on-farm in the moist transitional ecology of Kenya.. 959–964.1 indexed citations
18.
Mugo, Stephen, et al.. (2007). Characterization for phenotypic drought tolerance and resistance to storage pests in local coastal maize landraces in Kenya.. 245–250.1 indexed citations
19.
Nderitu, John, et al.. (2005). Screening for development of resistance by the spotted stem borer, Chilo Partellus Swinhoe (Lepidoptera: Pyralidae) to Bt-maize delta-endotoxins. 7. 1241–1244.3 indexed citations
20.
Bergvinson, David, et al.. (2004). Debunking The Myths Of Gm Crops For Africa: The Case Of Bt Maize In Kenya. RePEc: Research Papers in Economics.2 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.