Evans Mutegi

432 total citations
18 papers, 311 citations indexed

About

Evans Mutegi is a scholar working on Agronomy and Crop Science, Genetics and Plant Science. According to data from OpenAlex, Evans Mutegi has authored 18 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Agronomy and Crop Science, 12 papers in Genetics and 10 papers in Plant Science. Recurrent topics in Evans Mutegi's work include Bioenergy crop production and management (15 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetically Modified Organisms Research (4 papers). Evans Mutegi is often cited by papers focused on Bioenergy crop production and management (15 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Genetically Modified Organisms Research (4 papers). Evans Mutegi collaborates with scholars based in United States, Kenya and Germany. Evans Mutegi's co-authors include Allison A. Snow, Fabrice Sagnard, Santie de Villiers, Moses M. Muraya, Rémy Pasquet, Priya Davidar, Marie‐Christine Daunay, Maryke Labuschagne, Kassa Semagn and Patricia M. Sweeney and has published in prestigious journals such as Theoretical and Applied Genetics, Biomass and Bioenergy and American Journal of Botany.

In The Last Decade

Evans Mutegi

18 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evans Mutegi United States 10 188 139 124 39 34 18 311
Agostino Fricano Italy 11 264 1.4× 80 0.6× 114 0.9× 25 0.6× 62 1.8× 21 379
João Romero do Amaral Santos de Carvalho Rocha Brazil 14 428 2.3× 165 1.2× 129 1.0× 15 0.4× 23 0.7× 37 526
Fred E. Gouker United States 9 175 0.9× 87 0.6× 129 1.0× 20 0.5× 111 3.3× 20 304
Valorie H. Goff United States 10 214 1.1× 202 1.5× 170 1.4× 14 0.4× 44 1.3× 18 335
T. M. Yin China 3 154 0.8× 102 0.7× 107 0.9× 16 0.4× 76 2.2× 4 274
E. Gacek Poland 9 358 1.9× 48 0.3× 176 1.4× 30 0.8× 19 0.6× 26 447
Jagdeep Singh Sidhu United States 12 531 2.8× 89 0.6× 105 0.8× 21 0.5× 67 2.0× 25 610
J. C. Émile France 9 121 0.6× 63 0.5× 227 1.8× 32 0.8× 27 0.8× 72 327
Markéta Pospíšková Czechia 6 131 0.7× 131 0.9× 131 1.1× 32 0.8× 55 1.6× 10 273
George L. Hodnett United States 10 280 1.5× 101 0.7× 86 0.7× 9 0.2× 109 3.2× 21 351

Countries citing papers authored by Evans Mutegi

Since Specialization
Citations

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

Fields of papers citing papers by Evans Mutegi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evans Mutegi

This figure shows the co-authorship network connecting the top 25 collaborators of Evans Mutegi. A scholar is included among the top collaborators of Evans Mutegi 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 Evans Mutegi. Evans Mutegi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Chang, Hsiaochi, et al.. (2018). Extent of pollen-mediated gene flow and seed longevity in switchgrass (Panicum virgatum L.): Implications for biosafety procedures. Biomass and Bioenergy. 109. 114–124. 5 indexed citations
2.
3.
Chang, Hsiaochi, Helen M. Alexander, Evans Mutegi, & Allison A. Snow. (2017). Habitat restoration and native grass conservation: a case study of switchgrass (Panicum virgatum). Restoration Ecology. 26(3). 506–515. 6 indexed citations
4.
Mutegi, Evans, Allison A. Snow, Catherine L. Bonin, et al.. (2016). Population Genetics and Seed Set in Feral, OrnamentalMiscanthus sacchariflorus. Invasive Plant Science and Management. 9(3). 214–228. 4 indexed citations
5.
Bonin, Catherine L., Evans Mutegi, Allison A. Snow, et al.. (2016). Improved Feedstock Option or Invasive Risk? Comparing Establishment and Productivity of Fertile Miscanthus × giganteus to Miscanthus sinensis. BioEnergy Research. 10(2). 317–328. 9 indexed citations
6.
Mutegi, Evans, et al.. (2015). Genetic diversity and population structure of wild/weedy eggplant (Solanum insanum, Solanaceae) in southern India: Implications for conservation. American Journal of Botany. 102(1). 140–148. 32 indexed citations
7.
Davidar, Priya, et al.. (2015). The potential for crop to wild hybridization in eggplant (Solanum melongena; Solanaceae) in southern India. American Journal of Botany. 102(1). 129–139. 32 indexed citations
8.
Fernandez, Maria G. Salas, et al.. (2014). Assessment of genetic diversity among sorghum landraces and their wild/weedy relatives in western Kenya using simple sequence repeat (SSR) markers. Conservation Genetics. 15(6). 1269–1280. 2 indexed citations
9.
10.
Mutegi, Evans, Fabrice Sagnard, Maryke Labuschagne, et al.. (2012). Local scale patterns of gene flow and genetic diversity in a crop–wild–weedy complex of sorghum (Sorghum bicolor (L.) Moench) under traditional agricultural field conditions in Kenya. Conservation Genetics. 13(4). 1059–1071. 13 indexed citations
11.
Snow, Allison A., et al.. (2012). Population genetic structure of in situ wild Sorghum bicolor in its Ethiopian center of origin based on SSR markers. Genetic Resources and Crop Evolution. 60(4). 1313–1328. 20 indexed citations
12.
Mutegi, Evans, et al.. (2012). Morphological Variation in the Wild-Weedy Complex of Sorghum bicolor In Situ in Western Kenya: Preliminary Evidence of Crop-to-Wild Gene Flow?. International Journal of Plant Sciences. 173(5). 507–515. 7 indexed citations
13.
Muraya, Moses M., et al.. (2011). Wild sorghum from different eco-geographic regions of Kenya display a mixed mating system. Theoretical and Applied Genetics. 122(8). 1631–1639. 15 indexed citations
14.
Muraya, Moses M., Santie de Villiers, Heiko K. Parzies, et al.. (2011). Genetic structure and diversity of wild sorghum populations (Sorghum spp.) from different eco-geographical regions of Kenya. Theoretical and Applied Genetics. 123(4). 571–583. 14 indexed citations
15.
Snow, Allison A., Steven E. Travis, Radka Wildová, et al.. (2010). Species‐specific SSR alleles for studies of hybrid cattails (Typha latifolia × T. angustifolia; Typhaceae) in North America. American Journal of Botany. 97(12). 2061–2067. 38 indexed citations
16.
Mutegi, Evans, Fabrice Sagnard, Kassa Semagn, et al.. (2010). Genetic structure and relationships within and between cultivated and wild sorghum (Sorghum bicolor (L.) Moench) in Kenya as revealed by microsatellite markers. Theoretical and Applied Genetics. 122(5). 989–1004. 42 indexed citations
17.
18.
Mutegi, Evans, Fabrice Sagnard, Moses M. Muraya, et al.. (2009). Ecogeographical distribution of wild, weedy and cultivated Sorghum bicolor (L.) Moench in Kenya: implications for conservation and crop-to-wild gene flow. Genetic Resources and Crop Evolution. 57(2). 243–253. 42 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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