Steve Larson

1.9k total citations
61 papers, 1.3k citations indexed

About

Steve Larson is a scholar working on Plant Science, Agronomy and Crop Science and Environmental Chemistry. According to data from OpenAlex, Steve Larson has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 24 papers in Agronomy and Crop Science and 18 papers in Environmental Chemistry. Recurrent topics in Steve Larson's work include Wheat and Barley Genetics and Pathology (24 papers), Bioenergy crop production and management (21 papers) and Turfgrass Adaptation and Management (18 papers). Steve Larson is often cited by papers focused on Wheat and Barley Genetics and Pathology (24 papers), Bioenergy crop production and management (21 papers) and Turfgrass Adaptation and Management (18 papers). Steve Larson collaborates with scholars based in United States, China and Saudi Arabia. Steve Larson's co-authors include Victor Raboy, J. N. Rutger, Kevin A. Young, Kevin B. Jensen, Lee R. DeHaan, Richard R.‐C. Wang, Tom Blake, K. A. Young, N. J. Chatterton and Thomas A. Jones and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Trends in Plant Science.

In The Last Decade

Steve Larson

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Larson United States 21 1.0k 297 217 197 159 61 1.3k
Kendall R. Lamkey United States 27 2.4k 2.3× 602 2.0× 284 1.3× 1.6k 7.9× 87 0.5× 95 2.7k
Luigi Russi Italy 19 610 0.6× 193 0.6× 130 0.6× 121 0.6× 164 1.0× 51 1.2k
Ravish Chatrath India 15 1.7k 1.6× 508 1.7× 119 0.5× 263 1.3× 105 0.7× 54 1.8k
Julie King United Kingdom 23 1.8k 1.7× 454 1.5× 242 1.1× 537 2.7× 150 0.9× 59 1.9k
Brian L. Beres Canada 22 1.2k 1.2× 539 1.8× 108 0.5× 162 0.8× 161 1.0× 123 1.6k
Εleni M. Abraham Greece 18 532 0.5× 189 0.6× 119 0.5× 62 0.3× 188 1.2× 73 958
Anne Marte Tronsmo Norway 24 1.1k 1.0× 198 0.7× 161 0.7× 62 0.3× 162 1.0× 67 1.3k
Annick Matéjicek France 17 718 0.7× 234 0.8× 225 1.0× 118 0.6× 125 0.8× 35 963
Bernadette Julier France 27 1.7k 1.6× 827 2.8× 170 0.8× 516 2.6× 369 2.3× 79 2.2k
B. Boller Switzerland 22 827 0.8× 580 2.0× 83 0.4× 89 0.5× 217 1.4× 59 1.2k

Countries citing papers authored by Steve Larson

Since Specialization
Citations

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

Fields of papers citing papers by Steve Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Larson. A scholar is included among the top collaborators of Steve Larson 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 Steve Larson. Steve Larson 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.
Crain, Jared, Steve Larson, James A. Anderson, et al.. (2025). A low‐coverage skim‐sequencing and imputation pipeline for genomic selection. The Plant Genome. 18(4). e70139–e70139.
2.
Crain, Jared, Peggy Wagoner, Steve Larson, & Lee R. DeHaan. (2024). Origin of current intermediate wheatgrass germplasm being developed for Kernza grain production. Genetic Resources and Crop Evolution. 71(8). 4963–4978. 5 indexed citations
3.
Hernández, Alexander J., et al.. (2024). Using Unmanned Aerial Vehicles and Multispectral Sensors to Model Forage Yield for Grasses of Semiarid Landscapes. SHILAP Revista de lepidopterología. 3(2). 84–109. 5 indexed citations
4.
Crain, Jared, Steve Larson, Kevin B. Jensen, et al.. (2023). Genomic insights into the NPGS intermediate wheatgrass germplasm collection. Crop Science. 63(3). 1381–1396. 2 indexed citations
5.
Crain, Jared, Steve Larson, Kevin Dorn, Lee R. DeHaan, & Jesse Poland. (2022). Genetic architecture and QTL selection response for Kernza perennial grain domestication traits. Theoretical and Applied Genetics. 135(8). 2769–2784. 8 indexed citations
6.
Jensen, Kevin B., et al.. (2020). ‘AlkarXL’, a new tall wheatgrass cultivar for use on saline semiarid lands. Journal of Plant Registrations. 14(3). 298–305. 1 indexed citations
7.
DeHaan, Lee R., Steve Larson, Rosa L. López‐Marqués, et al.. (2020). Roadmap for Accelerated Domestication of an Emerging Perennial Grain Crop. Trends in Plant Science. 25(6). 525–537. 71 indexed citations
8.
Crain, Jared, et al.. (2020). Sequenced-based paternity analysis to improve breeding and identify self-incompatibility loci in intermediate wheatgrass (Thinopyrum intermedium). Theoretical and Applied Genetics. 133(11). 3217–3233. 17 indexed citations
9.
10.
Larson, Steve, Lee R. DeHaan, Jesse Poland, et al.. (2019). Genome mapping of quantitative trait loci (QTL) controlling domestication traits of intermediate wheatgrass (Thinopyrum intermedium). Theoretical and Applied Genetics. 132(8). 2325–2351. 26 indexed citations
11.
Dorn, Kevin, et al.. (2018). Transcriptome assembly and annotation of johnsongrass ( Sorghum halepense ) rhizomes identify candidate rhizome‐specific genes. Plant Direct. 2(6). e00065–e00065. 11 indexed citations
12.
Larson, Steve, Xiaofei Zhang, Lee R. DeHaan, et al.. (2016). Development of the first consensus genetic map of intermediate wheatgrass (Thinopyrum intermedium) using genotyping-by-sequencing. Theoretical and Applied Genetics. 130(1). 137–150. 40 indexed citations
13.
Chivers, Ian, Thomas A. Jones, Linda Broadhurst, Ivan W. Mott, & Steve Larson. (2016). The merits of artificial selection for the development of restoration‐ready plant materials of native perennial grasses. Restoration Ecology. 24(2). 174–183. 34 indexed citations
14.
Jensen, Kevin B., Steve Larson, B. Shaun Bushman, & Joseph G. Robins. (2016). Notice of release of Charleston Peak Germplasm slender wheatgrass: a selected class, genetically manipulated track pre-variety germplasm. Native Plants Journal. 17(2). 127–133. 1 indexed citations
15.
Bushman, B. Shaun, Steve Larson, Metin Tuna, et al.. (2011). Orchardgrass (Dactylis glomerata L.) EST and SSR marker development, annotation, and transferability. Theoretical and Applied Genetics. 123(1). 119–129. 35 indexed citations
16.
Phillips, N., Steve Larson, & Dan Drost. (2006). Detection of Genetic Variation in Wild Populations of Three Allium Species using Amplified Fragment Length Polymorphisms (AFLP). HortScience. 41(4). 967C–967. 10 indexed citations
17.
Larson, Steve. (2002). Plant Genotyping: The DNA Fingerprinting of Plants. Heredity. 88(3). 220–220. 31 indexed citations
18.
19.
Hu, Zanmin, Richard R.‐C. Wang, Steve Larson, et al.. (2001). Selection response for molecular markers associated with anthocyanin coloration and low-temperature growth traits in crested wheatgrasses. Canadian Journal of Plant Science. 81(4). 665–671. 11 indexed citations
20.
Wrenn, Keith D. & Steve Larson. (1991). The febrile alcoholic in the emergency department. The American Journal of Emergency Medicine. 9(1). 57–60. 7 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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