Michael Olsen

5.9k total citations · 2 hit papers
65 papers, 4.0k citations indexed

About

Michael Olsen is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Michael Olsen has authored 65 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 52 papers in Genetics and 9 papers in Agronomy and Crop Science. Recurrent topics in Michael Olsen's work include Genetic Mapping and Diversity in Plants and Animals (51 papers), Genetics and Plant Breeding (45 papers) and Genetic and phenotypic traits in livestock (28 papers). Michael Olsen is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (51 papers), Genetics and Plant Breeding (45 papers) and Genetic and phenotypic traits in livestock (28 papers). Michael Olsen collaborates with scholars based in Kenya, Mexico and United States. Michael Olsen's co-authors include Kassa Semagn, B. M. Prasanna, Raman Babu, Sarah Hearne, Yoseph Beyene, Xuecai Zhang, Biswanath Das, José Crossa, Manje Gowda and Yunbi Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Experimental Botany.

In The Last Decade

Michael Olsen

64 papers receiving 3.9k citations

Hit Papers

Single nucleotide polymorphism genotyping using Kompetiti... 2013 2026 2017 2021 2013 2022 200 400 600
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.

  1. Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement
    2013 701 citations Kassa Semagn, Raman Babu et al. profile →
  2. Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
    2022 176 citations Yunbi Xu, Xingping Zhang et al. Molecular Plant profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Olsen Kenya 31 3.4k 2.3k 498 456 257 65 4.0k
Jessica Rutkoski United States 35 4.7k 1.4× 3.1k 1.4× 433 0.9× 402 0.9× 485 1.9× 52 5.3k
Aaron J. Lorenz United States 30 3.5k 1.0× 2.2k 1.0× 490 1.0× 321 0.7× 167 0.6× 85 4.1k
Tobias Würschum Germany 44 5.4k 1.6× 3.1k 1.4× 833 1.7× 802 1.8× 256 1.0× 166 6.0k
Haydn Kuchel Australia 29 3.1k 0.9× 1.4k 0.6× 815 1.6× 237 0.5× 206 0.8× 49 3.4k
Juan Burgueño Mexico 39 6.4k 1.9× 4.8k 2.1× 748 1.5× 515 1.1× 306 1.2× 142 7.3k
Geoffrey P. Morris United States 27 2.1k 0.6× 1.6k 0.7× 967 1.9× 613 1.3× 160 0.6× 65 3.1k
Morten Lillemo Norway 29 3.7k 1.1× 1.2k 0.5× 457 0.9× 543 1.2× 173 0.7× 103 4.0k
Lee T. Hickey Australia 33 3.3k 1.0× 1.0k 0.5× 525 1.1× 629 1.4× 101 0.4× 105 3.5k
Marcos Malosetti Netherlands 31 3.0k 0.9× 1.7k 0.8× 449 0.9× 251 0.6× 115 0.4× 56 3.3k
Márcio F. R. Resende United States 27 2.1k 0.6× 1.5k 0.7× 256 0.5× 784 1.7× 296 1.2× 89 3.4k

Countries citing papers authored by Michael Olsen

Since Specialization
Citations

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

Fields of papers citing papers by Michael Olsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Olsen

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Olsen. A scholar is included among the top collaborators of Michael Olsen 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 Michael Olsen. Michael Olsen 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.
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
2.
Ren, Jiaojiao, Penghao Wu, Gordon M. Huestis, et al.. (2022). Identification and fine mapping of a major QTL (qRtsc8-1) conferring resistance to maize tar spot complex and validation of production markers in breeding lines. Theoretical and Applied Genetics. 135(5). 1551–1563. 7 indexed citations
3.
Xu, Yunbi, Xingping Zhang, Huihui Li, et al.. (2022). Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction. Molecular Plant. 15(11). 1664–1695. 176 indexed citations breakdown →
4.
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
5.
Cao, Shiliang, Yibing Yuan, Ao Zhang, et al.. (2021). Genomic Prediction of Resistance to Tar Spot Complex of Maize in Multiple Populations Using Genotyping-by-Sequencing SNPs. Frontiers in Plant Science. 12. 672525–672525. 10 indexed citations
6.
Beyene, Yoseph, Manje Gowda, Paulino Pérez‐Rodríguez, et al.. (2021). Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize. Frontiers in Plant Science. 12. 685488–685488. 37 indexed citations
7.
Gowda, Manje, Dan Makumbi, Biswanath Das, et al.. (2021). Genetic dissection of Striga hermonthica (Del.) Benth. resistance via genome-wide association and genomic prediction in tropical maize germplasm. Theoretical and Applied Genetics. 134(3). 941–958. 25 indexed citations
8.
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
9.
Nair, Sudha, Biswanath Das, Jumbo M. Bright, et al.. (2020). Genetic Dissection of Resistance to Gray Leaf Spot by Combining Genome-Wide Association, Linkage Mapping, and Genomic Prediction in Tropical Maize Germplasm. Frontiers in Plant Science. 11. 572027–572027. 27 indexed citations
10.
Guo, Rui, Thanda Dhliwayo, Natalia Palacios‐Rojas, et al.. (2020). Genomic Prediction of Kernel Zinc Concentration in Multiple Maize Populations Using Genotyping-by-Sequencing and Repeat Amplification Sequencing Markers. Frontiers in Plant Science. 11. 534–534. 29 indexed citations
11.
Das, Biswanath, G. N. Atlin, Michael Olsen, et al.. (2019). Identification of donors for low-nitrogen stress with maize lethal necrosis (MLN) tolerance for maize breeding in sub-Saharan Africa. Euphytica. 215(4). 80–80. 24 indexed citations
12.
Yuan, Yibing, Jill E. Cairns, Raman Babu, et al.. (2019). Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize. Frontiers in Plant Science. 9. 1919–1919. 100 indexed citations
13.
Beyene, Yoseph, Manje Gowda, Michael Olsen, et al.. (2019). Empirical Comparison of Tropical Maize Hybrids Selected Through Genomic and Phenotypic Selections. Frontiers in Plant Science. 10. 1502–1502. 55 indexed citations
14.
Ertiro, Berhanu Tadesse, Kassa Semagn, Biswanath Das, et al.. (2017). Genetic variation and population structure of maize inbred lines adapted to the mid-altitude sub-humid maize agro-ecology of Ethiopia using single nucleotide polymorphic (SNP) markers. BMC Genomics. 18(1). 777–777. 49 indexed citations
15.
Zhang, Ao, Hongwu Wang, Yoseph Beyene, et al.. (2017). Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations. Frontiers in Plant Science. 8. 1916–1916. 129 indexed citations
16.
Beyene, Yoseph, Kassa Semagn, Stephen Mugo, et al.. (2015). Performance and grain yield stability of maize populations developed using marker-assisted recurrent selection and pedigree selection procedures. Euphytica. 208(2). 285–297. 15 indexed citations
17.
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
18.
Zaman‐Allah, Mainassara, Omar Vergara‐Díaz, J. L. Araus, et al.. (2015). Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize. Plant Methods. 11(1). 35–35. 244 indexed citations
19.
Kaeppler, Shawn M., Roberto Tuberosa, Nathan M. Springer, et al.. (2009). Ronald L. Phillips: pioneer, scholar, mentor, and gentleman.. Maydica. 54(4). 365–373. 1 indexed citations
20.
Wilson, Sonya G., Camron D. Bryant, William R. Lariviere, et al.. (2003). The Heritability of Antinociception II: Pharmacogenetic Mediation of Three Over-the-Counter Analgesics in Mice. Journal of Pharmacology and Experimental Therapeutics. 305(2). 755–764. 52 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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