Dan Makumbi

5.4k total citations · 2 hit papers
92 papers, 3.8k citations indexed

About

Dan Makumbi is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Dan Makumbi has authored 92 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Plant Science, 50 papers in Genetics and 27 papers in Agronomy and Crop Science. Recurrent topics in Dan Makumbi's work include Genetics and Plant Breeding (55 papers), Genetic Mapping and Diversity in Plants and Animals (49 papers) and Crop Yield and Soil Fertility (23 papers). Dan Makumbi is often cited by papers focused on Genetics and Plant Breeding (55 papers), Genetic Mapping and Diversity in Plants and Animals (49 papers) and Crop Yield and Soil Fertility (23 papers). Dan Makumbi collaborates with scholars based in Kenya, Mexico and United States. Dan Makumbi's co-authors include Marianne Bänziger, Cosmos Magorokosho, B. M. Prasanna, José Crossa, Yoseph Beyene, Stephen Mugo, J. L. Araus, Jianbing Yan, Manje Gowda and Jill E. Cairns and has published in prestigious journals such as Genetics, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Dan Makumbi

88 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

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.

Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers

2010 574 citations José Crossa, Paulino Pérez‐Rodríguez et al. profile →
Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments

2021 131 citations B. M. Prasanna, Jill E. Cairns et al. Theoretical and Applied Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Makumbi Kenya	31	3.3k	2.0k	868	363	233	92	3.8k
Yoseph Beyene Kenya	33	3.9k 1.2×	2.7k 1.3×	587 0.7×	543 1.5×	166 0.7×	102	4.4k
Monika Messmer Switzerland	34	3.4k 1.0×	1.1k 0.5×	658 0.8×	424 1.2×	210 0.9×	95	3.8k
G. N. Atlin Mexico	43	5.5k 1.7×	2.5k 1.3×	904 1.0×	374 1.0×	274 1.2×	79	6.0k
Baffour Badu‐Apraku Nigeria	35	3.4k 1.0×	1.4k 0.7×	2.1k 2.4×	205 0.6×	171 0.7×	170	3.8k
Abhishek Rathore India	39	4.1k 1.3×	842 0.4×	488 0.6×	409 1.1×	107 0.5×	178	4.6k
Manje Gowda Kenya	36	4.1k 1.2×	2.7k 1.3×	604 0.7×	511 1.4×	77 0.3×	96	4.5k
Jean‐Marcel Ribaut Mexico	36	4.6k 1.4×	2.5k 1.3×	1.0k 1.2×	619 1.7×	74 0.3×	54	5.0k
T. S. Cox United States	31	3.5k 1.1×	733 0.4×	1.0k 1.2×	486 1.3×	112 0.5×	117	4.1k
Alexey Morgounov Türkiye	27	2.7k 0.8×	517 0.3×	908 1.0×	330 0.9×	145 0.6×	140	3.0k
Jens Möhring Germany	27	2.6k 0.8×	1.5k 0.7×	582 0.7×	185 0.5×	72 0.3×	65	3.1k

Countries citing papers authored by Dan Makumbi

Since Specialization

Citations

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

Fields of papers citing papers by Dan Makumbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Makumbi

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

Makumbi, Dan, et al.. (2025). Genetic analysis of ear, husk, and tassel traits in tropical maize under diverse environments. Frontiers in Plant Science. 16. 1618054–1618054.

Suresh, L. M., Manje Gowda, Yoseph Beyene, et al.. (2025). Identification of gray leaf spot–resistant donor lines in tropical maize germplasm and their agronomic performance under artificial inoculation. Frontiers in Plant Science. 16. 1536981–1536981.

Gowda, Manje, Yoseph Beyene, Biswanath Das, et al.. (2024). A combination of joint linkage and genome-wide association study reveals putative candidate genes associated with resistance to northern corn leaf blight in tropical maize. Frontiers in Plant Science. 15. 1448961–1448961. 2 indexed citations

Beyene, Yoseph, Biswanath Das, Dan Makumbi, et al.. (2024). Linkage mapping and genomic prediction of grain quality traits in tropical maize (Zea mays L.). Frontiers in Genetics. 15. 1353289–1353289. 8 indexed citations

Sneller, Clay, Walter Chivasa, Dan Makumbi, et al.. (2024). Genetic trends in the Kenya Highland Maize Breeding Program between 1999 and 2020. Frontiers in Plant Science. 15. 1416538–1416538. 3 indexed citations

Makumbi, Dan, Juan Burgueño, Paulino Pérez‐Rodríguez, et al.. (2024). Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation. G3 Genes Genomes Genetics. 14(10). 1 indexed citations

Bruce, Anani Y., Dan Makumbi, Yoseph Beyene, et al.. (2023). Assessment of Resistance Mechanisms to Fall Armyworm, Spodoptera frugiperda in Tropical Maize Inbred Lines. Agronomy. 13(1). 203–203. 8 indexed citations

Qu, Jingtao, Fengling Fu, Haoqiang Yu, et al.. (2022). Low-Density Reference Fingerprinting SNP Dataset of CIMMYT Maize Lines for Quality Control and Genetic Diversity Analyses. Plants. 11(22). 3092–3092. 2 indexed citations

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 →

10.

Gowda, Manje, Yoseph Beyene, Juan Burgueño, et al.. (2020). Hybrid Breeding for MLN Resistance: Heterosis, Combining Ability, and Hybrid Prediction. Plants. 9(4). 468–468. 16 indexed citations

11.

Nair, Sudha, Yoseph Beyene, Biswanath Das, et al.. (2020). Combination of Linkage Mapping, GWAS, and GP to Dissect the Genetic Basis of Common Rust Resistance in Tropical Maize Germplasm. International Journal of Molecular Sciences. 21(18). 6518–6518. 21 indexed citations

12.

Rusinamhodzi, Léonard, et al.. (2020). Performance of elite maize genotypes under selected sustainable intensification options in Kenya. Field Crops Research. 249. 107738–107738. 14 indexed citations

13.

Mahuku, George, et al.. (2018). Pre-harvest management is a critical practice for minimizing aflatoxin contamination of maize. Food Control. 96. 219–226. 86 indexed citations

14.

Rose, Lindy Joy, et al.. (2017). Determining resistance to Fusarium verticillioides and fumonisin accumulation in African maize inbred lines resistant to Aspergillus flavus and aflatoxins. Euphytica. 213(4). 20 indexed citations

15.

Okoth, Sheila, et al.. (2017). Field evaluation of resistance to aflatoxin accumulation in maize inbred lines in Kenya and South Africa. Journal of Crop Improvement. 31(6). 862–878. 19 indexed citations

16.

Makumbi, Dan, et al.. (2017). Genetic analysis of tropical quality protein maize (Zea mays L.) germplasm. Euphytica. 213(11). 261–261. 26 indexed citations

17.

Sserumaga, Julius Pyton, et al.. (2015). Incidence and severity of potentially toxigenic Aspergillus flavus in maize ( Zea mays L.) from different major maize growing regions of Uganda. African Journal of Agricultural Research. 10(11). 1244–1250. 4 indexed citations

18.

Nair, Sudha, Raman Babu, Cosmos Magorokosho, et al.. (2015). Fine mapping of Msv1, a major QTL for resistance to Maize Streak Virus leads to development of production markers for breeding pipelines. Theoretical and Applied Genetics. 128(9). 1839–1854. 40 indexed citations

19.

Makumbi, Dan, Kevin V. Pixley, Marianne Bänziger, & F. J. Betrán. (2005). Yield potential of synthetic maize varieties under stress and non-stress conditions. 7. 1193–1199. 2 indexed citations

20.

Vuylsteke, D., John R. Hartman, Dan Makumbi, et al.. (2000). Towards improving highland bananas. Uganda Journal of Agricultural Sciences. 5(1). 36–38. 4 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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