Matthew N. Rouse

8.1k total citations · 3 hit papers
136 papers, 4.9k citations indexed

About

Matthew N. Rouse is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Matthew N. Rouse has authored 136 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Plant Science, 34 papers in Genetics and 26 papers in Molecular Biology. Recurrent topics in Matthew N. Rouse's work include Wheat and Barley Genetics and Pathology (126 papers), Plant Disease Resistance and Genetics (72 papers) and Genetics and Plant Breeding (63 papers). Matthew N. Rouse is often cited by papers focused on Wheat and Barley Genetics and Pathology (126 papers), Plant Disease Resistance and Genetics (72 papers) and Genetics and Plant Breeding (63 papers). Matthew N. Rouse collaborates with scholars based in United States, Kenya and Australia. Matthew N. Rouse's co-authors include Yue Jin, Karen A. Garrett, Erin Frank, S. P. Dendy, Jorge Dubcovsky, Michael Pumphrey, Wenjun Zhang, Sridhar Bhavani, Les J. Szabo and Ravi P. Singh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Matthew N. Rouse

129 papers receiving 4.8k citations

Hit Papers

Climate Change Effects on Plant Disease: Genomes to Ecosy... 2006 2026 2012 2019 2006 2015 2016 200 400 600

Peers

Matthew N. Rouse
Eduard Akhunov United States
Geoffrey P. Morris United States
Gina Brown‐Guedira United States
Elhan S. Ersoz United States
Ana L. Caicedo United States
Jason Carling Australia
Denise E. Costich United States
Eduard Akhunov United States
Matthew N. Rouse
Citations per year, relative to Matthew N. Rouse Matthew N. Rouse (= 1×) peers Eduard Akhunov

Countries citing papers authored by Matthew N. Rouse

Since Specialization
Citations

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

Fields of papers citing papers by Matthew N. Rouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew N. Rouse. 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 Matthew N. Rouse. The network helps show where Matthew N. Rouse may publish in the future.

Co-authorship network of co-authors of Matthew N. Rouse

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew N. Rouse. A scholar is included among the top collaborators of Matthew N. Rouse 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 Matthew N. Rouse. Matthew N. Rouse 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.
Sanaeifar, Alireza, et al.. (2025). High-Throughput UAV Hyperspectral Remote Sensing Pinpoints Bacterial Leaf Streak Resistance in Wheat. Remote Sensing. 17(16). 2799–2799.
2.
Sanaeifar, Alireza, Shahryar F. Kianian, Ruth Dill‐Macky, et al.. (2025). Transformer-based and band-selected models for UAV hyperspectral wheat disease classification. Smart Agricultural Technology. 13. 101714–101714.
3.
Rouse, Matthew N., et al.. (2025). Identification and characterization of Sr59-mediated stem rust resistance in a novel wheat-rye translocation T2BL·2BS-2RL. The Crop Journal. 13(3). 909–918. 1 indexed citations
4.
Broz, Karen, et al.. (2025). The 2022 Fusarium Head Blight Outbreak in Ethiopia: Emerging Pathogens, Mixed Mycotoxins, and Interspecies Interactions. Plant Disease. 110(3). 890–902. 1 indexed citations
5.
Filichkin, Tanya, Scott Fisk, Oadi Matny, et al.. (2024). Registration of the “Woodies” multi–rust‐resistant barley germplasm. Journal of Plant Registrations. 18(2). 393–401. 2 indexed citations
6.
Gudi, Santosh, Peter J. Maughan, Zhaohui Liu, et al.. (2024). Genomes of Aegilops umbellulata provide new insights into unique structural variations and genetic diversity in the U‐genome for wheat improvement. Plant Biotechnology Journal. 22(12). 3505–3519. 4 indexed citations
7.
Anderson, James A., Jochum Wiersma, Emily Conley, et al.. (2024). Registration of ‘MN‐Rothsay’ spring wheat with high grain yield and lodging resistance. Journal of Plant Registrations. 19(1). 1 indexed citations
8.
Abdulridha, Jaafar, Min An, Matthew N. Rouse, et al.. (2023). Evaluation of Stem Rust Disease in Wheat Fields by Drone Hyperspectral Imaging. Sensors. 23(8). 4154–4154. 11 indexed citations
9.
Kolmer, J. A., et al.. (2023). Mapping and characterization of the recessive leaf rust resistance gene Lr83 on wheat chromosome arm 1DS. Theoretical and Applied Genetics. 136(5). 115–115. 13 indexed citations
10.
Olivera, Pablo D., Dolors Villegas, Carlos Cantero‐Martínez, et al.. (2022). A unique race of the wheat stem rust pathogen with virulence on Sr31 identified in Spain and reaction of wheat and durum cultivars to this race. Plant Pathology. 71(4). 873–889. 20 indexed citations
11.
Kolmer, J. A. & Matthew N. Rouse. (2022). Adult plant leaf rust resistance QTL derived from wheat line CI13227 maps to chromosomes 2AL, 4BS, and 7AL. The Plant Genome. 15(3). e20215–e20215.
12.
Herselman, L., et al.. (2022). Mapping and validation of all-stage resistance to stem rust in four South African winter wheat cultivars. Euphytica. 219(1). 1 indexed citations
13.
Kolmer, J. A., M. Kathryn Turner, Matthew N. Rouse, & James A. Anderson. (2020). Adult Plant Leaf Rust Resistance in AC Taber Wheat Maps to Chromosomes 2BS and 3BS. Phytopathology. 111(2). 380–385. 1 indexed citations
14.
Edae, Erena A. & Matthew N. Rouse. (2019). Bulked segregant analysis RNA-seq (BSR-Seq) validated a stem resistance locus in Aegilops umbellulata, a wild relative of wheat. PLoS ONE. 14(9). e0215492–e0215492. 29 indexed citations
15.
Olivera, Pablo D., Matthew N. Rouse, & Yue Jin. (2018). Identification of New Sources of Resistance to Wheat Stem Rust in Aegilops spp. in the Tertiary Genepool of Wheat. Frontiers in Plant Science. 9. 1719–1719. 37 indexed citations
16.
Salcedo, Andrés, William B. Rutter, Alina Akhunova, et al.. (2017). Variation in the AvrSr35 gene determines Sr35 resistance against wheat stem rust race Ug99. Science. 358(6370). 1604–1606. 156 indexed citations
17.
Edae, Erena A., Pablo D. Olivera, Yue Jin, Jesse Poland, & Matthew N. Rouse. (2016). Genotype-by-sequencing facilitates genetic mapping of a stem rust resistance locus in Aegilops umbellulata, a wild relative of cultivated wheat. BMC Genomics. 17(1). 1039–1039. 31 indexed citations
18.
Chen, Shisheng, Matthew N. Rouse, Wenjun Zhang, et al.. (2015). Fine mapping and characterization of Sr21, a temperature-sensitive diploid wheat resistance gene effective against the Puccinia graminis f. sp. tritici Ug99 race group. Theoretical and Applied Genetics. 128(4). 645–656. 29 indexed citations
19.
Forrest, Kerrie, Peng Zhang, Matthew N. Rouse, et al.. (2015). Identification of a stem rust resistance locus effective against Ug99 on wheat chromosome 7AL using a RAD-Seq approach. Theoretical and Applied Genetics. 128(7). 1397–1405. 8 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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