Melaku Gedil

3.5k total citations
97 papers, 2.2k citations indexed

About

Melaku Gedil is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Melaku Gedil has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 30 papers in Genetics and 24 papers in Agronomy and Crop Science. Recurrent topics in Melaku Gedil's work include Genetics and Plant Breeding (39 papers), Genetic Mapping and Diversity in Plants and Animals (28 papers) and Plant Parasitism and Resistance (19 papers). Melaku Gedil is often cited by papers focused on Genetics and Plant Breeding (39 papers), Genetic Mapping and Diversity in Plants and Animals (28 papers) and Plant Parasitism and Resistance (19 papers). Melaku Gedil collaborates with scholars based in Nigeria, United States and Ghana. Melaku Gedil's co-authors include Abebe Menkir, Ana Luísa Garcia‐Oliveira, Ismail Rabbi, Baffour Badu‐Apraku, Charles Spillane, Gezahegn Girma, Peter Kulakow, Jean‐Luc Jannink, Nnanna Unachukwu and Paterne A. Agre and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Scientific Reports.

In The Last Decade

Melaku Gedil

96 papers receiving 2.1k citations

Peers

Melaku Gedil

GENET

ACS

IMMUN

D. Sudhakar India

Sushil Kumar India

M. Motto Italy

Laurent Gentzbittel France

Luciano Carlos da Maia Brazil

Hiroyuki Fukuoka Japan

Jingyin Yu China

Jonathan H. Crouch Mexico

Malik Ashiq Rabbani Pakistan

Jizeng Jia China

D. Sudhakar India

Melaku Gedil

2.6k ×1.4

585 ×1.1

GENET

1.5k ×3.3

262 ×0.7

ACS

37 ×0.3

IMMUN

Citations per year, relative to Melaku Gedil Melaku Gedil (= 1×) peers D. Sudhakar

Countries citing papers authored by Melaku Gedil

Since Specialization

Citations

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

Fields of papers citing papers by Melaku Gedil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melaku Gedil

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

All Works

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20 of 20 papers shown

Menkir, Abebe, Ibnou Dieng, Melaku Gedil, et al.. (2024). Approaches and progress in breeding drought‐tolerant maize hybrids for tropical lowlands in west and central Africa. The Plant Genome. 17(2). e20437–e20437. 2 indexed citations

Badu‐Apraku, Baffour, et al.. (2023). Mapping quantitative trait loci and predicting candidate genes for Striga resistance in maize using resistance donor line derived from Zea diploperennis. Frontiers in Genetics. 14. 1012460–1012460. 2 indexed citations

Meseka, Silvestro, et al.. (2023). Reactions of provitamin-A-enriched maize to foliar diseases under field conditions in Nigeria. Cereal Research Communications. 52(2). 747–758. 3 indexed citations

Badu‐Apraku, Baffour, et al.. (2021). Genetic diversity and population structure of early and extra-early maturing maize germplasm adapted to sub-Saharan Africa. BMC Plant Biology. 21(1). 96–96. 27 indexed citations

Tesfaye, Abush, et al.. (2021). Assessment of diversity in tropical soybean (Glycine max (L.) Merr.) varieties and elite breeding lines using single nucleotide polymorphism markers. Plant Genetic Resources. 19(1). 20–28. 6 indexed citations

Ajala, S. O., et al.. (2020). Assessment of heterotic patterns of tropical low‐nitrogen–tolerant maize (Zea maysL.) inbred lines using testcross performance, morphological traits and SNP markers. Plant Breeding. 139(6). 1113–1124. 5 indexed citations

Badu‐Apraku, Baffour, et al.. (2020). Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation. PLoS ONE. 15(9). e0239205–e0239205. 18 indexed citations

Mekbib, Firew, et al.. (2019). Genetic Diversity of Ethiopian Cowpea [Vigna unguiculata (L) Walp] Genotypes Using Multivariate Analyses. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 29(3). 89–104. 13 indexed citations

Girma, Gezahegn, Satoshi Natsume, Anna Vittoria Carluccio, et al.. (2019). Identification of candidate flowering and sex genes in white Guinea yam (D. rotundata Poir.) by SuperSAGE transcriptome profiling. PLoS ONE. 14(9). e0216912–e0216912. 15 indexed citations

10.

Garcia‐Oliveira, Ana Luísa, Subhash Chander, Rodomiro Ortíz, Abebe Menkir, & Melaku Gedil. (2018). Genetic Basis and Breeding Perspectives of Grain Iron and Zinc Enrichment in Cereals. Frontiers in Plant Science. 9. 937–937. 97 indexed citations

11.

Menkir, Abebe, G. Olaoye, José Crossa, et al.. (2017). Genetic Gains in Yield and Yield Related Traits under Drought Stress and Favorable Environments in a Maize Population Improved Using Marker Assisted Recurrent Selection. Frontiers in Plant Science. 8. 808–808. 40 indexed citations

12.

Menkir, Abebe, et al.. (2015). Evaluating testcross performance and genetic divergence of lines derived from reciprocal tropical maize composites. Maydica. 60(2). 1–10. 6 indexed citations

13.

Rabbi, Ismail, Martha T. Hamblin, P. Lava Kumar, et al.. (2014). High-resolution mapping of resistance to cassava mosaic geminiviruses in cassava using genotyping-by-sequencing and its implications for breeding. Virus Research. 186. 87–96. 97 indexed citations

14.

Rabbi, Ismail, et al.. (2013). Linkage and Genome-Wide Association Mapping Using Next-Generation Genotyping-by-Sequencing in the Clonally-Propagated Cassava. 1 indexed citations

15.

Gedil, Melaku, et al.. (2013). Marker-trait association analysis of functional gene markers for provitamin A levels across diverse tropical yellow maize inbred lines. BMC Plant Biology. 13(1). 227–227. 76 indexed citations

16.

Menkir, Abebe, et al.. (2011). Carotenoid and molecular marker-based diversity assessment in tropical yellow endosperm maize inbred lines. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 9. 383–392. 5 indexed citations

17.

Chan, Agnes P., Jonathan Crabtree, Qi Zhao, et al.. (2010). Draft genome sequence of the oilseed species Ricinus communis. Nature Biotechnology. 28(9). 951–956. 366 indexed citations

18.

Menkir, Abebe, Melaku Gedil, & Jorge Franco. (2010). Analysis of genetic structure and diversity among lowland and mid-altitude adapted maize inbred lines with AFLP markers.. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 8. 926–932. 1 indexed citations

19.

Gedil, Melaku, et al.. (2009). Development of molecular genomic tools for verification of intergeneric hybrids between castor bean (Ricinus communis L.) and cassava (Manihot esculenta Crantz). Ghent University Academic Bibliography (Ghent University). 12 indexed citations

20.

Gedil, Melaku, et al.. (2007). Detection of RAPD markers-linked to resistance to cassava anthracnose disease. AFRICAN JOURNAL OF BIOTECHNOLOGY. 6(6). 677–682. 14 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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