Dagne Wegary

1.6k total citations · 1 hit paper
61 papers, 1.0k citations indexed

About

Dagne Wegary is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Dagne Wegary has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 27 papers in Agronomy and Crop Science and 18 papers in Genetics. Recurrent topics in Dagne Wegary's work include Genetics and Plant Breeding (33 papers), Crop Yield and Soil Fertility (23 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Dagne Wegary is often cited by papers focused on Genetics and Plant Breeding (33 papers), Crop Yield and Soil Fertility (23 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Dagne Wegary collaborates with scholars based in Ethiopia, Kenya and South Africa. Dagne Wegary's co-authors include Kindie Tesfaye, Maryke Labuschagne, Tolera Keno, B. Vivek, Abebe Menkir, Gezahegn Bogale, Tsedeke Abate, Bekele Shiferaw, Yilma Kebede and Berhanu Tadesse and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dagne Wegary

58 papers receiving 980 citations

Hit Papers

Factors that transformed maize productivity in Ethiopia 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagne Wegary Ethiopia 17 727 363 237 164 158 61 1.0k
Mosisa Worku Kenya 19 874 1.2× 409 1.1× 367 1.5× 154 0.9× 62 0.4× 38 1.1k
Sylvester O. Oikeh Nigeria 23 1.2k 1.6× 553 1.5× 329 1.4× 99 0.6× 110 0.7× 50 1.4k
Kebebew Assefa Ethiopia 23 1.1k 1.5× 275 0.8× 272 1.1× 116 0.7× 129 0.8× 79 1.4k
M. Olsen Kenya 14 1.1k 1.5× 264 0.7× 445 1.9× 78 0.5× 55 0.3× 25 1.3k
Alpha Diallo Kenya 16 658 0.9× 365 1.0× 249 1.1× 143 0.9× 55 0.3× 26 885
Hailu Tefera Ethiopia 22 775 1.1× 159 0.4× 242 1.0× 86 0.5× 112 0.7× 33 1.0k
B.B. Singh Nigeria 21 1.6k 2.2× 467 1.3× 44 0.2× 168 1.0× 174 1.1× 45 1.9k
D. S. Virk United Kingdom 21 976 1.3× 179 0.5× 253 1.1× 254 1.5× 113 0.7× 72 1.2k
B. Skovmand Mexico 21 1.7k 2.4× 397 1.1× 442 1.9× 102 0.6× 97 0.6× 49 1.9k
Bettina I. G. Haussmann Germany 28 1.7k 2.3× 783 2.2× 690 2.9× 91 0.6× 240 1.5× 72 2.0k

Countries citing papers authored by Dagne Wegary

Since Specialization
Citations

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

Fields of papers citing papers by Dagne Wegary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagne Wegary

This figure shows the co-authorship network connecting the top 25 collaborators of Dagne Wegary. A scholar is included among the top collaborators of Dagne Wegary 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 Dagne Wegary. Dagne Wegary 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.
Sneller, Clay, et al.. (2025). Genetic Trends in Seven Years of Maize Breeding at Mozambique’s Institute of Agricultural Research. Agronomy. 15(2). 449–449. 1 indexed citations
2.
Beyene, Yoseph, Beatrice Elohor Ifie, Manje Gowda, et al.. (2024). Agronomic Performance and Resistance to Maize Lethal Necrosis in Maize Hybrids Derived from Doubled Haploid Lines. Agronomy. 14(10). 2443–2443. 1 indexed citations
3.
Odong, Thomas, Mildred Ochwo‐Ssemakula, Abebe Menkir, et al.. (2024). Assessment of genetic diversity and heterotic alignment of CIMMYT and IITA maize inbred lines adapted to sub‐Saharan Africa. Crop Science. 65(1). 1 indexed citations
4.
Abraham, Adane, et al.. (2024). Evaluation of seed dressing insecticides for the control of maize lethal necrosis vectors. Cogent Food & Agriculture. 10(1). 1 indexed citations
5.
Wegary, Dagne, et al.. (2024). Testcross performance and combining ability of early-medium maturing quality protein maize inbred lines in Eastern and Southern Africa. Scientific Reports. 14(1). 9151–9151. 6 indexed citations
7.
Abraham, Adane, et al.. (2021). Alternate hosts and seed transmission of maize lethal necrosis in Ethiopia. Journal of Phytopathology. 169(5). 303–315. 16 indexed citations
8.
Abraham, Adane, et al.. (2021). Transmission and Persistence of Maize Lethal Necrosis in Infested Soil and Infected Maize Residue. European Journal of Plant Pathology. 162(2). 263–273. 5 indexed citations
9.
Alamerew, Sentayehu, et al.. (2020). Combining Ability of Lowland Adapted Ethiopian Sorghum Hybrids for Yield. Ethiopian journal of agricultural sciences. 30(2). 89–98. 1 indexed citations
10.
Wegary, Dagne, et al.. (2019). Hybrid Performance and Combining Ability of Quality Protein Maize Inbred Lines under Low-Nitrogen Stress and Non-Stress Conditions in Ethiopia. Ethiopian journal of agricultural sciences. 29(1). 125–141. 3 indexed citations
11.
Wegary, Dagne, et al.. (2018). Correlation and Path Coefficient Analysis for Agronomical Traits of Lowland Adapted Ethiopian Sorghum Genotypes [Sorghum bicolor (L.) Moench] Genotypes. Greener Journal of Agricultural Sciences. 8(8). 155–159. 3 indexed citations
12.
Yao, Nasser, et al.. (2017). Molecular genetic diversity and population structure of Ethiopian white lupin landraces: Implications for breeding and conservation. PLoS ONE. 12(11). e0188696–e0188696. 20 indexed citations
13.
Ertiro, Berhanu Tadesse, Kassa Semagn, Biswanath Das, et al.. (2017). Genetic variation and population structure of maize inbred lines adapted to the mid-altitude sub-humid maize agro-ecology of Ethiopia using single nucleotide polymorphic (SNP) markers. BMC Genomics. 18(1). 777–777. 49 indexed citations
14.
Tesfaye, Kassahun, et al.. (2017). Genotype by trait biplot analysis to study associations and profiles of Ethiopian white lupin (Lupinus albus L.) landraces. Australian Journal of Crop Science. 11(1). 55–62. 15 indexed citations
16.
Wegary, Dagne, et al.. (2016). Pedological Characterization, Fertility Status and Classification of Some Typical Soils of Bako Tibe and Toke Kutaye Districts of Western Showa, Ethiopia. 7(1). 49–67. 1 indexed citations
17.
Wegary, Dagne, et al.. (2014). Determinants of smallholder farmers' hybrid maize adoption in the drought prone Central Rift Valley of Ethiopia. African Journal of Agricultural Research. 9(17). 1334–1343. 19 indexed citations
18.
Alemu, Dawit, Degefie Tibebe, S. Twumasi‐Afriyie, et al.. (2012). Agro-ecological suitability for hybrid maize varieties and its implication for seed systems.. 145–150. 1 indexed citations
19.
Wegary, Dagne, et al.. (2011). Combining ability and heterotic relationships between CIMMYT and Ethiopian maize inbred lines. Ethiopian journal of agricultural sciences. 21. 82–93. 11 indexed citations
20.
Wegary, Dagne. (2003). Inheritance of grey leaf spot resistance in selected maize inbred lines. 9(1). 53–59. 4 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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