Brian W. Diers

8.9k total citations · 2 hit papers
134 papers, 6.1k citations indexed

About

Brian W. Diers is a scholar working on Plant Science, Insect Science and Agronomy and Crop Science. According to data from OpenAlex, Brian W. Diers has authored 134 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Plant Science, 14 papers in Insect Science and 13 papers in Agronomy and Crop Science. Recurrent topics in Brian W. Diers's work include Soybean genetics and cultivation (105 papers), Legume Nitrogen Fixing Symbiosis (82 papers) and Nematode management and characterization studies (45 papers). Brian W. Diers is often cited by papers focused on Soybean genetics and cultivation (105 papers), Legume Nitrogen Fixing Symbiosis (82 papers) and Nematode management and characterization studies (45 papers). Brian W. Diers collaborates with scholars based in United States, Brazil and Costa Rica. Brian W. Diers's co-authors include G. L. Hartman, Randy C. Shoemaker, S. R. Carlson, Prakash R. Arelli, Matthew E. Hudson, James E. Specht, Curtis B. Hill, Dan Wang, Vergel Concibido and Randall L. Nelson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLANT PHYSIOLOGY.

In The Last Decade

Brian W. Diers

131 papers receiving 6.0k citations

Hit Papers

RNA-Seq Atlas of Glycine max: A guide to the soybean tran... 2010 2026 2015 2020 2010 2012 100 200 300 400 500
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. RNA-Seq Atlas of Glycine max: A guide to the soybean transcriptome
    2010 541 citations Brian W. Diers, James E. Specht et al. profile →
  2. Copy Number Variation of Multiple Genes at Rhg1 Mediates Nematode Resistance in Soybean
    2012 455 citations David E. Cook, Tong Geon Lee et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian W. Diers United States 44 5.7k 860 617 599 535 134 6.1k
Jackie C. Rudd United States 26 2.1k 0.4× 204 0.2× 562 0.9× 158 0.3× 384 0.7× 88 2.2k
Márcio F. R. Resende United States 27 2.1k 0.4× 784 0.9× 1.5k 2.4× 106 0.2× 256 0.5× 89 3.4k
Allan K. Fritz United States 34 3.1k 0.5× 340 0.4× 794 1.3× 138 0.2× 917 1.7× 105 3.4k
Zvi Peleg Israel 35 4.7k 0.8× 1.0k 1.2× 851 1.4× 94 0.2× 729 1.4× 87 5.2k
T. S. Cox United States 31 3.5k 0.6× 486 0.6× 733 1.2× 146 0.2× 1.0k 1.9× 117 4.1k
R. M. DePauw Canada 30 2.6k 0.5× 233 0.3× 507 0.8× 174 0.3× 734 1.4× 151 2.8k
Roland Kölliker Switzerland 29 1.5k 0.3× 361 0.4× 445 0.7× 138 0.2× 507 0.9× 88 2.1k
Geoffrey P. Morris United States 27 2.1k 0.4× 613 0.7× 1.6k 2.7× 77 0.1× 967 1.8× 65 3.1k
C. Lynne McIntyre Australia 45 5.9k 1.0× 1.5k 1.7× 1.5k 2.4× 75 0.1× 1.1k 2.1× 127 6.5k
M. Lalonde Canada 26 2.5k 0.5× 594 0.7× 139 0.2× 422 0.7× 211 0.4× 67 2.9k

Countries citing papers authored by Brian W. Diers

Since Specialization
Citations

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

Fields of papers citing papers by Brian W. Diers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian W. Diers. 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 Brian W. Diers. The network helps show where Brian W. Diers may publish in the future.

Co-authorship network of co-authors of Brian W. Diers

This figure shows the co-authorship network connecting the top 25 collaborators of Brian W. Diers. A scholar is included among the top collaborators of Brian W. Diers 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 Brian W. Diers. Brian W. Diers 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
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Huang, Meng, Leah K. McHale, Dechun Wang, et al.. (2023). Canopy coverage phenotyping and field spatial variability adjustment as an efficient selection tool in soybean breeding. Crop Science. 63(6). 3277–3291. 3 indexed citations
4.
Diers, Brian W., James E. Specht, George L. Graef, et al.. (2023). Genetic architecture of protein and oil content in soybean seed and meal. The Plant Genome. 16(1). e20308–e20308. 6 indexed citations
5.
Montes, Christopher M., Carolyn M. Fox, Álvaro Sanz‐Sáez, et al.. (2022). High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population. Genetics. 221(2). 13 indexed citations
6.
Chen, Linfeng, Shouping Yang, Charles Quigley, et al.. (2022). Genotype imputation for soybean nested association mapping population to improve precision of QTL detection. Theoretical and Applied Genetics. 135(5). 1797–1810. 6 indexed citations
7.
Shook, Johnathon M., Jiaoping Zhang, Sarah E. Jones, et al.. (2021). Meta-GWAS for quantitative trait loci identification in soybean. G3 Genes Genomes Genetics. 11(7). 35 indexed citations
8.
Diers, Brian W., et al.. (2021). Effect of Resistance and Ethaboxam Seed Treatment on the Management of Phytophthora Root Rot in Illinois and Iowa. Plant Health Progress. 22(1). 58–65. 6 indexed citations
9.
Trevisan, Rodrigo, et al.. (2020). High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks. Remote Sensing. 12(21). 3617–3617. 23 indexed citations
10.
Wickland, Daniel P., Gopal Battu, Karen A. Hudson, Brian W. Diers, & Matthew E. Hudson. (2017). A comparison of genotyping-by-sequencing analysis methods on low-coverage crop datasets shows advantages of a new workflow, GB-eaSy. BMC Bioinformatics. 18(1). 586–586. 55 indexed citations
11.
Hill, Curtis B., et al.. (2014). Identification and molecular mapping of two soybean aphid resistance genes in soybean PI 587732. Theoretical and Applied Genetics. 127(5). 1251–1259. 15 indexed citations
12.
Schmitz, Robert J., Yupeng He, Oswaldo Valdés‐López, et al.. (2013). Epigenome-wide inheritance of cytosine methylation variants in a recombinant inbred population. Genome Research. 23(10). 1663–1674. 180 indexed citations
13.
Fox, Carolyn M., et al.. (2013). Inheritance of soybean aphid resistance in 21 soybean plant introductions. Theoretical and Applied Genetics. 127(1). 43–50. 19 indexed citations
14.
Cook, David E., Tong Geon Lee, Xiaoli Guo, et al.. (2012). Copy Number Variation of Multiple Genes at Rhg1 Mediates Nematode Resistance in Soybean. Science. 338(6111). 1206–1209. 455 indexed citations breakdown →
15.
Kim, Myung-Sik, David L. Hyten, T. L. Niblack, & Brian W. Diers. (2011). Stacking Resistance Alleles from Wild and Domestic Soybean Sources Improves Soybean Cyst Nematode Resistance. Crop Science. 51(3). 934–943. 64 indexed citations
16.
Hudson, Karen A., Curtis B. Hill, G. L. Hartman, et al.. (2009). Fine mapping the soybean aphid resistance gene Rag1 in soybean. Theoretical and Applied Genetics. 120(5). 1063–1071. 73 indexed citations
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Brucker, E.A., S. R. Carlson, Evan M. Wright, T. L. Niblack, & Brian W. Diers. (2005). Rhg1 alleles from soybean PI 437654 and PI 88788 respond differentially to isolates of Heterodera glycines in the greenhouse. Theoretical and Applied Genetics. 111(1). 44–49. 75 indexed citations
19.
Chen, Weidong, et al.. (2003). Detecting Orobanche minor Seeds in Soil Using PCR. Plant Health Progress. 4(1). 5 indexed citations
20.
Sebolt, Audrey, Randy C. Shoemaker, & Brian W. Diers. (2000). Analysis of a Quantitative Trait Locus Allele from Wild Soybean That Increases Seed Protein Concentration in Soybean. Crop Science. 40(5). 1438–1444. 192 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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