Aaron J. Lorenz

7.2k total citations · 2 hit papers
85 papers, 4.1k citations indexed

About

Aaron J. Lorenz is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Aaron J. Lorenz has authored 85 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Plant Science, 35 papers in Genetics and 17 papers in Agronomy and Crop Science. Recurrent topics in Aaron J. Lorenz's work include Genetics and Plant Breeding (38 papers), Genetic Mapping and Diversity in Plants and Animals (30 papers) and Soybean genetics and cultivation (29 papers). Aaron J. Lorenz is often cited by papers focused on Genetics and Plant Breeding (38 papers), Genetic Mapping and Diversity in Plants and Animals (30 papers) and Soybean genetics and cultivation (29 papers). Aaron J. Lorenz collaborates with scholars based in United States, Brazil and Egypt. Aaron J. Lorenz's co-authors include Jean‐Luc Jannink, Hiroyoshi Iwata, Kevin P. Smith, Mark E. Sorrells, Elliot L. Heffner, Diego Jarquín, Natalia de León, J. G. Coors, George L. Graef and Nonoy Bandillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Aaron J. Lorenz

78 papers receiving 4.1k 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: from theory to practice

2010 801 citations Jean‐Luc Jannink, Aaron J. Lorenz et al. profile →
Plant Breeding with Genomic Selection: Gain per Unit Time and Cost

2010 436 citations Aaron J. Lorenz, Jean‐Luc Jannink et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron J. Lorenz United States	30	3.5k	2.2k	490	321	202	85	4.1k
Jens Möhring Germany	27	2.6k 0.7×	1.5k 0.7×	582 1.2×	185 0.6×	91 0.5×	65	3.1k
Geoffrey P. Morris United States	27	2.1k 0.6×	1.6k 0.7×	967 2.0×	613 1.9×	159 0.8×	65	3.1k
Marcos Deon Vilela de Resende Brazil	34	4.4k 1.3×	1.9k 0.9×	613 1.3×	433 1.3×	223 1.1×	329	5.9k
Natalia de León United States	34	3.1k 0.9×	1.6k 0.7×	641 1.3×	1.4k 4.2×	321 1.6×	100	4.1k
Marcos Malosetti Netherlands	31	3.0k 0.9×	1.7k 0.8×	449 0.9×	251 0.8×	62 0.3×	56	3.3k
Michael Olsen Kenya	31	3.4k 1.0×	2.3k 1.0×	498 1.0×	456 1.4×	41 0.2×	65	4.0k
Márcio F. R. Resende United States	27	2.1k 0.6×	1.5k 0.7×	256 0.5×	784 2.4×	135 0.7×	89	3.4k
Curtis Pozniak Canada	38	3.9k 1.1×	1.3k 0.6×	663 1.4×	602 1.9×	44 0.2×	174	4.3k
Jens Léon Germany	34	4.1k 1.2×	1.6k 0.7×	764 1.6×	457 1.4×	48 0.2×	134	4.5k
Patricio Muńoz United States	29	1.8k 0.5×	1.3k 0.6×	237 0.5×	428 1.3×	79 0.4×	115	2.9k

Countries citing papers authored by Aaron J. Lorenz

Since Specialization

Citations

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

Fields of papers citing papers by Aaron J. Lorenz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron J. Lorenz. 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 Aaron J. Lorenz. The network helps show where Aaron J. Lorenz may publish in the future.

Co-authorship network of co-authors of Aaron J. Lorenz

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron J. Lorenz. A scholar is included among the top collaborators of Aaron J. Lorenz 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 Aaron J. Lorenz. Aaron J. Lorenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kumar, Ritesh, Rahul Mahadev Shelake, Doug K. Allen, et al.. (2025). Targets and strategies to design soybean seed composition traits. The Plant Genome. 18(4). e70115–e70115.

Parmley, Kyle, et al.. (2025). Genomic and phenomic prediction for soybean seed yield, protein, and oil. The Plant Genome. 18(1). e70002–e70002.

Lovell, John T., Jerry Jenkins, Shengqiang Shu, et al.. (2024). Assembly, comparative analysis, and utilization of a single haplotype reference genome for soybean. The Plant Journal. 120(3). 1221–1235. 10 indexed citations

Lorenz, Aaron J., et al.. (2024). Univariate and multivariate genomic prediction for agronomic traits in durum wheat under two field conditions. PLoS ONE. 19(11). e0310886–e0310886. 2 indexed citations

Lorenz, Aaron J., et al.. (2023). Evaluation of soybean accessions for resistance to the Japanese beetle, 2023. Arthropod management tests. 48(1).

Gilbert, Erin, et al.. (2023). A genome‐wide analysis of the USDA Soybean Isoline Collection. The Plant Genome. 16(2). e20310–e20310. 2 indexed citations

Lorenz, Aaron J., et al.. (2022). Development of a controlled-environment assay to induce iron deficiency chlorosis in soybean by adjusting calcium carbonates, pH, and nodulation. Plant Methods. 18(1). 36–36. 9 indexed citations

Baenziger, P. Stephen, R. A. Graybosch, Devin J. Rose, et al.. (2020). Registration of ‘NE10589’ (Husker Genetics Brand Ruth) hard red winter wheat. Journal of Plant Registrations. 14(3). 388–397. 3 indexed citations

Li, Zhi, Nathan D. Miller, Edgar P. Spalding, et al.. (2020). Characterizing introgression-by-environment interactions using maize near isogenic lines. Theoretical and Applied Genetics. 133(10). 2761–2773. 1 indexed citations

10.

Ravelombola, Waltram, Jun Qin, Ainong Shi, et al.. (2019). Genome-wide association study and genomic selection for soybean chlorophyll content associated with soybean cyst nematode tolerance. BMC Genomics. 20(1). 904–904. 35 indexed citations

11.

Neyhart, Jeffrey, Tyler Tiede, Aaron J. Lorenz, & Kevin P. Smith. (2017). Evaluating Methods of Updating Training Data in Long-Term Genomewide Selection. G3 Genes Genomes Genetics. 7(5). 1499–1510. 43 indexed citations

12.

Zhang, Jiaoping, et al.. (2017). Leveraging genomic prediction to scan germplasm collection for crop improvement. PLoS ONE. 12(6). e0179191–e0179191. 26 indexed citations

13.

Bandillo, Nonoy, Justin Anderson, Michael B. Kantar, et al.. (2017). Dissecting the Genetic Basis of Local Adaptation in Soybean. Scientific Reports. 7(1). 17195–17195. 42 indexed citations

14.

Campbell, Malachy T., Nonoy Bandillo, Sandeep Sharma, et al.. (2017). Allelic variants of OsHKT1;1 underlie the divergence between indica and japonica subspecies of rice (Oryza sativa) for root sodium content. PLoS Genetics. 13(6). e1006823–e1006823. 89 indexed citations

15.

Jarquín, Diego, James E. Specht, & Aaron J. Lorenz. (2016). Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of Accessions. G3 Genes Genomes Genetics. 6(8). 2329–2341. 66 indexed citations

16.

Bohn, Martin, et al.. (2016). Genomic Prediction of Single Crosses in the Early Stages of a Maize Hybrid Breeding Pipeline. G3 Genes Genomes Genetics. 6(11). 3443–3453. 87 indexed citations

17.

Roorkiwal, Manish, Abhishek Rathore, Roma Rani Das, et al.. (2016). Genome-Enabled Prediction Models for Yield Related Traits in Chickpea. Frontiers in Plant Science. 7. 1666–1666. 98 indexed citations

18.

Ali, Md Liakat, et al.. (2015). Screening genetic variation in maize for deep root mass in greenhouse and its association with grain yield under water-stressed field conditions. Maydica. 60(1). 1–13. 5 indexed citations

19.

Jarquín, Diego, et al.. (2014). Genotyping by sequencing for genomic prediction in a soybean breeding population. BMC Genomics. 15(1). 740–740. 166 indexed citations

20.

Lorenz, Aaron J., Martha T. Hamblin, & Jean‐Luc Jannink. (2010). Performance of Single Nucleotide Polymorphisms versus Haplotypes for Genome-Wide Association Analysis in Barley. PLoS ONE. 5(11). e14079–e14079. 108 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.

Explore authors with similar magnitude of impact