Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments
2021131 citationsB. M. Prasanna, Jill E. Cairns et al.Theoretical and Applied Geneticsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Mosisa Worku'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 Mosisa Worku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mosisa Worku more than expected).
This network shows the impact of papers produced by Mosisa Worku. 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 Mosisa Worku. The network helps show where Mosisa Worku may publish in the future.
Co-authorship network of co-authors of Mosisa Worku
This figure shows the co-authorship network connecting the top 25 collaborators of Mosisa Worku.
A scholar is included among the top collaborators of Mosisa Worku 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 Mosisa Worku. Mosisa Worku is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Prasanna, B. M., Jill E. Cairns, P.H. Zaidi, et al.. (2021). Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments. Theoretical and Applied Genetics. 134(6). 1729–1752.131 indexed citations breakdown →
Gowda, M. V. C., et al.. (2017). Quality Assurance/ Quality Control (QA/QC) in maize breeding and seed production : theory and practice. CIMMYT eBooks.9 indexed citations
7.
Keno, Tolera, et al.. (2017). Combing ability analysis of among early generation maize inbred lines. Ethiopian journal of agricultural sciences. 27(2). 49–60.3 indexed citations
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
16.
Worku, Mosisa, Marianne Bänziger, D. K. Friesen, et al.. (2008). Relative importance of general combining ability and specific combining ability among tropical maize (zea mays l.) inbreds under contrasting nitrogen environments. Maydica. 53. 279–288.35 indexed citations
17.
Worku, Mosisa, Marianne Bänziger, D. K. Friesen, et al.. (2007). Protein quantity and quality, and grain yield performance of quality protein maize and normal endosperm maize under different levels of nitrogen.. 1905–1909.3 indexed citations
18.
Worku, Mosisa, et al.. (2007). Performances of CIMMYT maize germplasm under low-nitrogen soil conditions in the mid-altitude sub humid agro-ecology of Ethiopia.. 51(31). 15–18.1 indexed citations
19.
Worku, Mosisa, et al.. (2004). Advances in improving harvest index of maize.
20.
Worku, Mosisa, et al.. (2002). Quality protein maize research in Ethiopia.. 39–45.3 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.