Manje Gowda

6.7k total citations · 2 hit papers
96 papers, 4.5k citations indexed

About

Manje Gowda is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Manje Gowda has authored 96 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Plant Science, 75 papers in Genetics and 14 papers in Agronomy and Crop Science. Recurrent topics in Manje Gowda's work include Genetics and Plant Breeding (78 papers), Genetic Mapping and Diversity in Plants and Animals (70 papers) and Genetic and phenotypic traits in livestock (36 papers). Manje Gowda is often cited by papers focused on Genetics and Plant Breeding (78 papers), Genetic Mapping and Diversity in Plants and Animals (70 papers) and Genetic and phenotypic traits in livestock (36 papers). Manje Gowda collaborates with scholars based in Kenya, Germany and Mexico. Manje Gowda's co-authors include Jochen C. Reif, Yoseph Beyene, C. Friedrich H. Longin, Hans Peter Maurer, Yusheng Zhao, Tobias Würschum, B. M. Prasanna, José Crossa, Xuecai Zhang and Juan Burgueño and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Manje Gowda

94 papers receiving 4.4k 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.

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives

2017 963 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
Manje Gowda Kenya	36	4.1k	2.7k	604	511	116	96	4.5k
Yoseph Beyene Kenya	33	3.9k 1.0×	2.7k 1.0×	587 1.0×	543 1.1×	90 0.8×	102	4.4k
Gaël Pressoir United States	11	3.5k 0.9×	2.9k 1.1×	436 0.7×	699 1.4×	125 1.1×	16	4.6k
Klaus Pillen Germany	38	4.5k 1.1×	2.1k 0.8×	653 1.1×	691 1.4×	105 0.9×	140	4.8k
Raman Babu Mexico	30	3.4k 0.8×	2.3k 0.9×	395 0.7×	547 1.1×	66 0.6×	52	3.9k
Dan Makumbi Kenya	31	3.3k 0.8×	2.0k 0.7×	868 1.4×	363 0.7×	230 2.0×	92	3.8k
Kassa Semagn Kenya	35	4.0k 1.0×	2.8k 1.0×	444 0.7×	622 1.2×	138 1.2×	87	4.6k
Xuecai Zhang Mexico	28	3.4k 0.8×	2.5k 0.9×	359 0.6×	488 1.0×	63 0.5×	82	3.9k
Alain Charcosset France	49	6.4k 1.6×	5.1k 1.9×	804 1.3×	809 1.6×	170 1.5×	132	7.3k
Francis C. Ogbonnaya Australia	33	3.0k 0.7×	900 0.3×	556 0.9×	333 0.7×	112 1.0×	82	3.2k
Matthew N. Rouse United States	34	4.7k 1.1×	1.3k 0.5×	633 1.0×	1.0k 2.0×	169 1.5×	136	4.9k

Countries citing papers authored by Manje Gowda

Since Specialization

Citations

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

Fields of papers citing papers by Manje Gowda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manje Gowda

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

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.

Beyene, Yoseph, Beatrice Elohor Ifie, Manje Gowda, et al.. (2024). Agronomic Performance and Resistance to Maize Lethal Necrosis in Maize Hybrids Derived from Doubled Haploid Lines. Agronomy. 14(10). 2443–2443. 1 indexed citations

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

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

Dida, Mathews M., et al.. (2023). Combination of linkage and association mapping with genomic prediction to infer QTL regions associated with gray leaf spot and northern corn leaf blight resistance in tropical maize. Frontiers in Genetics. 14. 1282673–1282673. 11 indexed citations

Martinez, Leocadio, et al.. (2023). Effectiveness of R1-nj Anthocyanin Marker in the Identification of In Vivo Induced Maize Haploid Embryos. Plants. 12(12). 2314–2314. 2 indexed citations

Montesinos‐López, Osval A., Carolina Saint Pierre, Salvador A. Gezan, et al.. (2023). Optimizing Sparse Testing for Genomic Prediction of Plant Breeding Crops. Genes. 14(4). 927–927. 11 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

10.

Spillane, Charles, et al.. (2022). Genome-wide association studies of grain yield and quality traits under optimum and low-nitrogen stress in tropical maize (Zea mays L.). Theoretical and Applied Genetics. 135(12). 4351–4370. 33 indexed citations

11.

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 →

12.

Olsen, Michael, José Crossa, Juan Burgueño, et al.. (2021). Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage. Frontiers in Plant Science. 12. 658978–658978. 19 indexed citations

13.

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

14.

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

15.

Wang, Nan, Yibing Yuan, Hui Wang, et al.. (2020). Applications of genotyping-by-sequencing (GBS) in maize genetics and breeding. Scientific Reports. 10(1). 16308–16308. 71 indexed citations

16.

Tongoona, Pangirayi, et al.. (2019). Maize lethal necrosis and the molecular basis of variability in concentrations of the causal viruses in co-infected maize plant. PubMed. 9(1). 1–19. 10 indexed citations

17.

Chaikam, Vijay, Manje Gowda, Sudha Nair, Albrecht E. Melchinger, & B. M. Prasanna. (2019). Genome-wide association study to identify genomic regions influencing spontaneous fertility in maize haploids. Euphytica. 215(8). 138–138. 31 indexed citations

18.

Liu, Wenxin, Hans Peter Maurer, Guoliang Li, et al.. (2014). Genetic Architecture of Winter Hardiness and Frost Tolerance in Triticale. PLoS ONE. 9(6). e99848–e99848. 17 indexed citations

19.

Longin, C. Friedrich H., Manje Gowda, Jonathan Mühleisen, et al.. (2013). Hybrid wheat: quantitative genetic parameters and consequences for the design of breeding programs. Theoretical and Applied Genetics. 126(11). 2791–2801. 126 indexed citations

20.

Reif, Jochen C., Wenxin Liu, Manje Gowda, et al.. (2010). Genetic basis of agronomically important traits in sugar beet (Beta vulgaris L.) investigated with joint linkage association mapping. Theoretical and Applied Genetics. 121(8). 1489–1499. 25 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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