M. Oyekunle

1.6k total citations
44 papers, 1.2k citations indexed

About

M. Oyekunle is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, M. Oyekunle has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 29 papers in Agronomy and Crop Science and 17 papers in Genetics. Recurrent topics in M. Oyekunle's work include Genetics and Plant Breeding (40 papers), Crop Yield and Soil Fertility (25 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). M. Oyekunle is often cited by papers focused on Genetics and Plant Breeding (40 papers), Crop Yield and Soil Fertility (25 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). M. Oyekunle collaborates with scholars based in Nigeria, Ghana and Benin. M. Oyekunle's co-authors include Baffour Badu‐Apraku, R.O. Akinwale, M. A. B. Fakorede, K. Obeng‐Antwi, A. Fontem Lum, Chabi G. Yallou, Abebe Menkir, I. C. Akaogu, Abidemi Olutayo Talabi and Benjamin Annor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

M. Oyekunle

41 papers receiving 1.1k citations

Peers

M. Oyekunle

ACS

GENET

Kassahun Bantte Ethiopia

R Choukan Iran

Rahmatollah Karımızadeh Iran

Liz Sayers United Kingdom

Cécile Grenier France

Silvestro Meseka Nigeria

Roma Rani Das India

Ramesh Kumar India

Paul Gibson United States

R. Madhusudhana India

Kassahun Bantte Ethiopia

M. Oyekunle

530 ×0.5

202 ×0.3

ACS

287 ×0.6

GENET

50 ×1.4

40 ×1.3

Citations per year, relative to M. Oyekunle M. Oyekunle (= 1×) peers Kassahun Bantte

Countries citing papers authored by M. Oyekunle

Since Specialization

Citations

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

Fields of papers citing papers by M. Oyekunle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Oyekunle

This figure shows the co-authorship network connecting the top 25 collaborators of M. Oyekunle. A scholar is included among the top collaborators of M. Oyekunle 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 M. Oyekunle. M. Oyekunle 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

Oyekunle, M., et al.. (2024). Combining Ability and Agronomic Performance of Diallel Crosses of Low-Nitrogen Tolerant Maize Inbred Lines. SHILAP Revista de lepidopterología. 70(3). 114–132.

Oyekunle, M., et al.. (2024). Combining ability for grain yield and low-N tolerance of intermediate/late maturing maize ( Zea mays ) inbred lines. Journal of Crop Improvement. 38(6). 731–751. 2 indexed citations

Oyekunle, M., et al.. (2024). Combining ability and heterotic grouping of maize (Zea mays L.) inbred lines for tolerance to low soil nitrogen in Nigeria. 8(1). 1–18.

Oyekunle, M., et al.. (2023). Yield Stability and Inter-Traits Relationships of Maize Hybrids Under Low- and Optimum-Nitrogen Conditions. SHILAP Revista de lepidopterología. 69(4). 171–185. 1 indexed citations

Badu‐Apraku, Baffour, et al.. (2020). Genetic studies of extra‐early provitamin‐A maize inbred lines and their hybrids in multiple environments. Crop Science. 60(3). 1325–1345. 18 indexed citations

Oyekunle, M., et al.. (2019). Gains in grain yield of released maize (Zea mays L.) cultivars under drought and well-watered conditions. Experimental Agriculture. 55(6). 934–944. 7 indexed citations

Kamara, Alpha Y., et al.. (2017). Performance of cowpea varieties under Striga gesnerioides (Willd.) Vatke infestation using biplot analysis. Euphytica. 213(11). 8 indexed citations

Badu‐Apraku, Baffour, et al.. (2015). Gains in Grain Yield of Early Maize Cultivars Developed During Three Breeding Eras under Multiple Environments. Crop Science. 55(2). 527–539. 47 indexed citations

10.

Badu‐Apraku, Baffour, M. A. B. Fakorede, Melaku Gedil, et al.. (2015). Heterotic responses among crosses of IITA and CIMMYT early white maize inbred lines under multiple stress environments. Euphytica. 206(1). 245–262. 27 indexed citations

11.

Badu‐Apraku, Baffour, M. A. B. Fakorede, M. Oyekunle, & R.O. Akinwale. (2015). Genetic gains in grain yield under nitrogen stress following three decades of breeding for drought tolerance andStrigaresistance in early maturing maize. The Journal of Agricultural Science. 154(4). 647–661. 14 indexed citations

12.

Badu‐Apraku, Baffour, et al.. (2014). Agronomic traits associated with genetic gains in maize yield during three breeding eras in West Africa.. Maydica. 59(1). 49–57. 18 indexed citations

13.

Badu‐Apraku, Baffour, R.O. Akinwale, & M. Oyekunle. (2014). Efficiency of secondary traits in selecting for improved grain yield in extra‐early maize under Striga‐infested and Striga‐free environments. Plant Breeding. 133(3). 373–380. 31 indexed citations

14.

Badu‐Apraku, Baffour, et al.. (2013). Two extraearly maturing white maize hybrids released in Nigeria. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1 indexed citations

15.

Oyekunle, M. & Baffour Badu‐Apraku. (2013). Genetic Analysis of Grain Yield and Other Traits of Early‐Maturing Maize Inbreds under Drought and Well‐Watered Conditions. Journal of Agronomy and Crop Science. 200(2). 92–107. 42 indexed citations

16.

Badu‐Apraku, Baffour, et al.. (2013). Combining Ability and Genetic Diversity of Extra‐Early White Maize Inbreds under Stress and Nonstress Environments. Crop Science. 53(1). 9–26. 50 indexed citations

17.

Badu‐Apraku, Baffour, R.O. Akinwale, M. A. B. Fakorede, M. Oyekunle, & Jorge Franco. (2012). Relative changes in genetic variability and correlations in an early-maturing maize population during recurrent selection. Theoretical and Applied Genetics. 125(6). 1289–1301. 7 indexed citations

18.

Badu‐Apraku, Baffour & M. Oyekunle. (2012). Genetic analysis of grain yield and other traits of extra-early yellow maize inbreds and hybrid performance under contrasting environments. Field Crops Research. 129. 99–110. 56 indexed citations

19.

Badu‐Apraku, Baffour, M. A. B. Fakorede, M. Oyekunle, & R.O. Akinwale. (2011). Selection of extra-early maize inbreds under low N and drought at flowering and grain-filling for hybrid production.. Maydica. 56(2). 141–154. 44 indexed citations

20.

Badu‐Apraku, Baffour, A. Fontem Lum, R.O. Akinwale, & M. Oyekunle. (2010). Biplot Analysis of Diallel Crosses of Early Maturing Tropical Yellow Maize Inbreds in Stress and Nonstress Environments. Crop Science. 51(1). 173–188. 47 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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