Jesse Munkvold

1.5k total citations
13 papers, 429 citations indexed

About

Jesse Munkvold is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Jesse Munkvold has authored 13 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 9 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in Jesse Munkvold's work include Genetics and Plant Breeding (8 papers), Wheat and Barley Genetics and Pathology (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Jesse Munkvold is often cited by papers focused on Genetics and Plant Breeding (8 papers), Wheat and Barley Genetics and Pathology (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Jesse Munkvold collaborates with scholars based in United States, Australia and Thailand. Jesse Munkvold's co-authors include Mark E. Sorrells, David Benscher, James Tanaka, Hugh G. Gauch, Paulo Canas Rodrigues, Elliot L. Heffner, Debbie Laudencia‐Chingcuanco, Rajat Aggarwal, Yong‐Gu Cho and Michael K. Wanous and has published in prestigious journals such as Nature Communications, Genetics and Journal of Experimental Botany.

In The Last Decade

Jesse Munkvold

13 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse Munkvold United States 11 401 127 87 44 17 13 429
P. M. Hayes United States 13 434 1.1× 146 1.1× 80 0.9× 57 1.3× 9 0.5× 23 459
Muluken Enyew Ethiopia 8 242 0.6× 120 0.9× 110 1.3× 31 0.7× 20 1.2× 16 310
Peyman Sharifi Iran 12 416 1.0× 93 0.7× 98 1.1× 16 0.4× 26 1.5× 52 437
Balpreet K. Dhatt United States 11 295 0.7× 96 0.8× 24 0.3× 65 1.5× 18 1.1× 16 326
Sunil Shriram Gomashe India 12 340 0.8× 125 1.0× 90 1.0× 23 0.5× 14 0.8× 36 390
Jayfred Godoy United States 10 287 0.7× 147 1.2× 75 0.9× 14 0.3× 6 0.4× 18 322
Namhee Jeong South Korea 12 618 1.5× 75 0.6× 35 0.4× 122 2.8× 23 1.4× 23 667
Elena Chiapparino Italy 8 406 1.0× 235 1.9× 91 1.0× 60 1.4× 17 1.0× 8 450
Habtamu Ayalew United States 12 478 1.2× 144 1.1× 160 1.8× 46 1.0× 9 0.5× 22 538
Tina Henriksson Sweden 10 383 1.0× 79 0.6× 50 0.6× 32 0.7× 20 1.2× 17 409

Countries citing papers authored by Jesse Munkvold

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Munkvold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse Munkvold

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

All Works

13 of 13 papers shown
1.
Jighly, Abdulqader, Thabo Thayalakumaran, Surya Kant, et al.. (2024). Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat. Theoretical and Applied Genetics. 137(5). 108–108. 1 indexed citations
2.
Jighly, Abdulqader, Brendan Christy, Garry J. O’Leary, et al.. (2023). Integrating biophysical crop growth models and whole genome prediction for their mutual benefit: a case study in wheat phenology. Journal of Experimental Botany. 74(15). 4415–4426. 8 indexed citations
3.
Jighly, Abdulqader, Thabo Thayalakumaran, Garry J. O’Leary, et al.. (2022). Using genomic prediction with crop growth models enables the prediction of associated traits in wheat. Journal of Experimental Botany. 74(5). 1389–1402. 18 indexed citations
4.
Wang, Weidong, Liyang Chen, Kevin Fengler, et al.. (2021). A giant NLR gene confers broad-spectrum resistance to Phytophthora sojae in soybean. Nature Communications. 12(1). 6263–6263. 58 indexed citations
5.
Strickler, Susan R., Aureliano Bombarely, Jesse Munkvold, et al.. (2015). Comparative genomics and phylogenetic discordance of cultivated tomato and close wild relatives. PeerJ. 3. e793–e793. 22 indexed citations
6.
Ishikawa, Goro, Jesse Munkvold, James Tanaka, et al.. (2014). Fine mapping of a preharvest sprouting QTL interval on chromosome 2B in white wheat. Theoretical and Applied Genetics. 127(8). 1843–1855. 29 indexed citations
7.
Munkvold, Jesse, Debbie Laudencia‐Chingcuanco, & Mark E. Sorrells. (2013). Systems Genetics of Environmental Response in the Mature Wheat Embryo. Genetics. 194(1). 265–277. 14 indexed citations
8.
9.
Munkvold, Jesse, et al.. (2011). Comparative genetic analysis of a wheat seed dormancy QTL with rice and Brachypodium identifies candidate genes for ABA perception and calcium signaling. Functional & Integrative Genomics. 11(3). 479–490. 19 indexed citations
10.
Zeid, M., Jiangyan Yu, Ilana Goldowitz, et al.. (2010). Cross-amplification of EST-derived markers among 16 grass species. Field Crops Research. 118(1). 28–35. 26 indexed citations
11.
Gauch, Hugh G., Paulo Canas Rodrigues, Jesse Munkvold, Elliot L. Heffner, & Mark E. Sorrells. (2010). Two New Strategies for Detecting and Understanding QTL × Environment Interactions. Crop Science. 51(1). 96–113. 30 indexed citations
12.
Munkvold, Jesse, James Tanaka, David Benscher, & Mark E. Sorrells. (2009). Mapping quantitative trait loci for preharvest sprouting resistance in white wheat. Theoretical and Applied Genetics. 119(7). 1223–1235. 103 indexed citations
13.
Wanous, Michael K., et al.. (2003). Identification of chromosome arms influencing expression of the HMW glutenins in wheat. Theoretical and Applied Genetics. 106(2). 213–220. 21 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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