Yoseph Beyene

6.9k citations
102 papers · 4.4k indexed · 2 hit papers · h-index 33
Topics
Genetics and Plant Breeding (74 papers)Genetic Mapping and Diversity in Plants and Animals (63 papers)Genetic and phenotypic traits in livestock (34 papers)
Partner nations
KenyaMexicoUnited States

In The Last Decade

Yoseph Beyene

97 papers receiving 4.3k citations

Hit Papers

Genomic Selection in Plant Breeding: Methods, Models, and...201720262020202320172021250500750

Peers

Yoseph Beyene
Comparison fields: 5 of 95
  • Plant Science 3.9k
  • Genetics 2.7k
  • Agronomy and Crop Science 587
  • Molecular Biology 543
  • Insect Science 215
Replace Dan Makumbi with:
Dan Makumbi Kenya
Manje Gowda Kenya
Stephen Mugo Kenya
Monika Messmer Switzerland
Gina Brown‐Guedira United States
David Hoisington Mexico
Baffour Badu‐Apraku Nigeria
Lee T. Hickey Australia
Abhishek Rathore India
G. N. Atlin Mexico
Yoseph Beyene relative to Dan Makumbi Kenya Dan Makumbi's profile →
Citations per field
00.5×1.5×
Dan Makumbi · 1×
Citations per year

Countries citing papers authored by Yoseph Beyene

Since Specialization
Citations

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

Fields of papers citing papers by Yoseph Beyene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoseph Beyene

This figure shows the co-authorship network connecting the top 25 collaborators of Yoseph Beyene. A scholar is included among the top collaborators of Yoseph Beyene 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 Yoseph Beyene. Yoseph Beyene 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
#WorkIndexed citations
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8 11
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Beat the stress: breeding for climate resilience in maize for the tropical rainfed environmentsbreakdown →
131
14 19
15 16
16 21
17 35
18 16
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Testcross performance of doubled haploid maize lines derived from tropical adapted backcross populations
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Maize seed production at research centers in Ethiopia.
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About Yoseph Beyene

Yoseph Beyene is a scholar working on Plant Science, Genetics and Agronomy and Crop Science, having authored 102 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (74 papers), Genetic Mapping and Diversity in Plants and Animals (63 papers) and Genetic and phenotypic traits in livestock (34 papers). The work is most often cited by research in Plant Science (3.9k citations), Genetics (2.7k citations) and Agronomy and Crop Science (587 citations). Yoseph Beyene has collaborated with scholars based in Kenya, Mexico and United States. Frequent co-authors include B. M. Prasanna, José Crossa, Stephen Mugo, Kassa Semagn, Manje Gowda, Michael Olsen, Xuecai Zhang, Dan Makumbi, Juan Burgueño and Paulino Pérez‐Rodríguez. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Trends in Plant Science.

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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