John Derera

2.6k total citations
145 papers, 1.8k citations indexed

About

John Derera is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, John Derera has authored 145 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Plant Science, 50 papers in Genetics and 32 papers in Agronomy and Crop Science. Recurrent topics in John Derera's work include Genetics and Plant Breeding (70 papers), Genetic Mapping and Diversity in Plants and Animals (49 papers) and Crop Yield and Soil Fertility (22 papers). John Derera is often cited by papers focused on Genetics and Plant Breeding (70 papers), Genetic Mapping and Diversity in Plants and Animals (49 papers) and Crop Yield and Soil Fertility (22 papers). John Derera collaborates with scholars based in South Africa, Nigeria and Zimbabwe. John Derera's co-authors include Pangirayi Tongoona, Mark Laing, Julia Sibiya, Muthulisi Siwela, Kevin V. Pixley, Kirthee Pillay, B. Vivek, Rob Melis, Frederick J. Veldman and Hussein Shimelis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

John Derera

139 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Derera South Africa 24 1.5k 425 412 170 125 145 1.8k
Pangirayi Tongoona Ghana 23 1.6k 1.1× 589 1.4× 492 1.2× 151 0.9× 151 1.2× 171 1.9k
Penelope J. Bebeli Greece 23 1.5k 1.0× 266 0.6× 165 0.4× 213 1.3× 107 0.9× 75 1.7k
R. J. Graf Canada 23 1.3k 0.8× 180 0.4× 360 0.9× 184 1.1× 68 0.5× 91 1.4k
Eric Yirenkyi Danquah Ghana 19 1.2k 0.8× 339 0.8× 224 0.5× 130 0.8× 110 0.9× 141 1.4k
Ahmed Amri Syria 27 2.2k 1.5× 721 1.7× 547 1.3× 179 1.1× 108 0.9× 120 2.4k
Sangam L. Dwivedi India 27 2.1k 1.4× 409 1.0× 333 0.8× 399 2.3× 202 1.6× 93 2.5k
Julia Sibiya South Africa 21 1.2k 0.8× 277 0.7× 191 0.5× 83 0.5× 142 1.1× 140 1.4k
K. K. Kidwell United States 29 2.2k 1.5× 671 1.6× 475 1.2× 436 2.6× 128 1.0× 68 2.5k
J. Hamblin Australia 23 2.2k 1.5× 301 0.7× 782 1.9× 226 1.3× 93 0.7× 52 2.6k
Shailendra Sharma India 20 1.4k 0.9× 476 1.1× 192 0.5× 362 2.1× 90 0.7× 71 1.7k

Countries citing papers authored by John Derera

Since Specialization
Citations

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

Fields of papers citing papers by John Derera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Derera

This figure shows the co-authorship network connecting the top 25 collaborators of John Derera. A scholar is included among the top collaborators of John Derera 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 John Derera. John Derera 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.
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
2.
Dieng, Ibnou, Brian Gardunia, Giovanny Covarrubias‐Pazaran, et al.. (2024). Q&A: Methods for estimating genetic gain in sub‐Saharan Africa and achieving improved gains. The Plant Genome. 17(2). e20471–e20471. 6 indexed citations
4.
Derera, John, et al.. (2021). Stability Assessment of Single-Cross Maize Hybrids Using GGE-Biplot Analysis. Journal of Agricultural Science. 13(2). 78–78. 3 indexed citations
5.
Derera, John, et al.. (2021). Combining ability analysis and heterotic grouping for grain yield among maize inbred lines selected for the mid-altitude and highland zones of Rwanda. Maydica. 66(1). 10. 2 indexed citations
6.
Tesfaye, Abush, et al.. (2020). Combining ability of soybean (Glycine max) for low phosphorus tolerance on acidic soils of Western Ethiopia. Plant Breeding. 139(5). 950–958. 3 indexed citations
7.
Derera, John, et al.. (2018). Estimation of genetic diversity of germplasm used to develop insect-pest resistant maize. Maydica. 61(4). 8. 1 indexed citations
8.
Derera, John, et al.. (2018). Genetic diversity among maize inbred lines selected for the mid- altitudes and highlands of Rwanda. Maydica. 61(2). 7. 9 indexed citations
9.
Tesfaye, Abush, et al.. (2017). Genetic variability in soybean ( Glycine max L.) for low soil phosphorus tolerance. Ethiopian journal of agricultural sciences. 27(2). 1–15. 9 indexed citations
10.
Derera, John, et al.. (2016). A review of genetic analysis and response to selection for resistance to Busseola fusca and Chilo partellus, stem borers in tropical maize germplasm: a Kenyan perspective.. Maydica. 61(1). 11. 5 indexed citations
11.
Derera, John, et al.. (2016). Variability and trait relationships among finger millet accessions in Uganda. Uganda Journal of Agricultural Sciences. 16(2). 161–161. 13 indexed citations
12.
Sibiya, Julia, et al.. (2013). Farmers’ desired traits and selection criteria for maize varieties and their implications for maize breeding: A case study from KwaZulu-Natal Province, South Africa. SHILAP Revista de lepidopterología. 19 indexed citations
13.
Tongoona, Pangirayi, et al.. (2013). Breeding dynamics of rice (Oryza sativa) for enhanced adaptation and grain quality. Scientific Research and Essays. 8(27). 1258–1272. 6 indexed citations
14.
Watson, G. M., et al.. (2013). Development of a single nucleotide polymorphism (SNP) marker for detection of the low phytic acid (lpa1-1) gene used during maize breeding. AFRICAN JOURNAL OF BIOTECHNOLOGY. 12(9). 892–900. 5 indexed citations
15.
Tongoona, Pangirayi, et al.. (2011). The dietary importance of maize in Katumba ward, Rungwe district, Tanzania, and its contribution to household food security. African Journal of Agricultural Research. 6(11). 2617–2626. 16 indexed citations
16.
Barekye, Alex, Pangirayi Tongoona, John Derera, Mark Laing, & W. K. Tushemereirwe. (2011). Appraisal of methods for assessing black Sigatoka resistance in diploid banana populations. African Journal of Plant Science. 5(15). 900–908. 4 indexed citations
17.
Mukankusi, Clare, et al.. (2011). A screening technique for resistance to Fusarium root rot of common bean. African Journal of Plant Science. 5(3). 152–161. 13 indexed citations
18.
Derera, John, et al.. (2011). Farmers' perceptions and management of maize ear rots and their implications for breeding for resistance. African Journal of Agricultural Research. 6(19). 17 indexed citations
19.
Derera, John, et al.. (2011). Development of sorghum for bio-energy: A view from the stakeholders and priorities for breeding dual purpose varieties. African Journal of Agricultural Research. 6(19). 4477–4486. 6 indexed citations
20.
Coyne, Danny, et al.. (2010). Monoxenic culture of Pratylenchus zeae on carrot discs. Figshare. 38(1). 107–108. 7 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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