Jason DeBruin

669 total citations
12 papers, 483 citations indexed

About

Jason DeBruin is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Jason DeBruin has authored 12 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Agronomy and Crop Science and 1 paper in Molecular Biology. Recurrent topics in Jason DeBruin's work include Crop Yield and Soil Fertility (8 papers), Genetics and Plant Breeding (5 papers) and Plant nutrient uptake and metabolism (4 papers). Jason DeBruin is often cited by papers focused on Crop Yield and Soil Fertility (8 papers), Genetics and Plant Breeding (5 papers) and Plant nutrient uptake and metabolism (4 papers). Jason DeBruin collaborates with scholars based in United States. Jason DeBruin's co-authors include Jeffrey R. Schussler, Hua Mo, Mark Cooper, Carlos D. Messina, Ignacio A. Ciampitti, Javier A. Fernández, Nina Lovan, R. Lafitte, Nicholas J. Bate and Jeffrey E. Habben and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Field Crops Research and Crop Science.

In The Last Decade

Jason DeBruin

11 papers receiving 472 citations

Peers

Jason DeBruin

PS

ACS

MB

SS

GENET

Fabien Cormier France

Lyudmila Zotova Kazakhstan

Virginie Bourion France

Huamao Wu China

Vladimir Shvidchenko Kazakhstan

Shahryar Sasani Iran

B. L. Duggan Australia

J. M. Nyachiro Canada

P.A. Hollington United Kingdom

Eduardo Beche Brazil

Fabien Cormier France

Jason DeBruin

494 ×1.2

PS

225 ×1.0

ACS

64 ×0.6

MB

48 ×1.0

SS

114 ×2.9

GENET

Citations per year, relative to Jason DeBruin Jason DeBruin (= 1×) peers Fabien Cormier

Countries citing papers authored by Jason DeBruin

Since Specialization

Citations

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

Fields of papers citing papers by Jason DeBruin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason DeBruin

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

All Works

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12 of 12 papers shown

1.

DeBruin, Jason, et al.. (2025). Breaking the field phenotyping bottleneck in maize with autonomous robots. Communications Biology. 8(1). 467–467. 2 indexed citations

2.

DeBruin, Jason, et al.. (2025). Crop management practices are more important for modern than past maize genotypes. Field Crops Research. 337. 110257–110257.

3.

DeBruin, Jason, et al.. (2023). Yield response of maize hybrids with different ear flex to nitrogen rate and plant density. Agronomy Journal. 116(1). 260–275. 2 indexed citations

4.

DeBruin, Jason, et al.. (2020). Evaluating polymer‐coated fertilizer prototypes designed for planting along with maize seed. Agronomy Journal. 113(2). 1619–1639. 3 indexed citations

5.

Fernández, Javier A., Jason DeBruin, Carlos D. Messina, & Ignacio A. Ciampitti. (2019). Late-season nitrogen fertilization on maize yield: A meta-analysis. Field Crops Research. 247. 107586–107586. 61 indexed citations

6.

DeBruin, Jason, et al.. (2018). Silk Development and Kernel Set in Maize as Related to Nitrogen Stress. Crop Science. 58(6). 2581–2592. 29 indexed citations

7.

DeBruin, Jason, Timothy Fox, Marc C. Albertsen, et al.. (2017). Genetic Male Sterility (Ms44) Increases Maize Grain Yield. Crop Science. 57(5). 2718–2728. 20 indexed citations

8.

Fox, Tim W., Jason DeBruin, M. R. Trimnell, et al.. (2017). A single point mutation in Ms44 results in dominant male sterility and improves nitrogen use efficiency in maize. Plant Biotechnology Journal. 15(8). 942–952. 86 indexed citations

9.

DeBruin, Jason, Jeffrey R. Schussler, Hua Mo, & Mark Cooper. (2017). Grain Yield and Nitrogen Accumulation in Maize Hybrids Released during 1934 to 2013 in the US Midwest. Crop Science. 57(3). 1431–1446. 79 indexed citations

10.

Habben, Jeffrey E., Nicholas J. Bate, Jason DeBruin, et al.. (2014). Transgenic alteration of ethylene biosynthesis increases grain yield in maize under field drought‐stress conditions. Plant Biotechnology Journal. 12(6). 685–693. 156 indexed citations

11.

DeBruin, Jason, et al.. (2013). N distribution in maize plant as a marker for grain yield and limits on its remobilization after flowering. Plant Breeding. 132(5). 500–505. 42 indexed citations

12.

DeBruin, Jason, et al.. (2001). EFFECTS OF CLOTHING ON THERMOREGULATION IN EXERCISING MALES. Medicine & Science in Sports & Exercise. 33(5). S222–S222. 3 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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