Jesse Poland

38.5k total citations · 6 hit papers
193 papers, 16.2k citations indexed

About

Jesse Poland is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Jesse Poland has authored 193 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Plant Science, 119 papers in Genetics and 19 papers in Agronomy and Crop Science. Recurrent topics in Jesse Poland's work include Wheat and Barley Genetics and Pathology (142 papers), Genetic Mapping and Diversity in Plants and Animals (100 papers) and Genetics and Plant Breeding (99 papers). Jesse Poland is often cited by papers focused on Wheat and Barley Genetics and Pathology (142 papers), Genetic Mapping and Diversity in Plants and Animals (100 papers) and Genetics and Plant Breeding (99 papers). Jesse Poland collaborates with scholars based in United States, Mexico and Saudi Arabia. Jesse Poland's co-authors include Edward S. Buckler, Jeffrey C. Glaubitz, Robert J. Elshire, Ken Kawamoto, Sharon E. Mitchell, Qi Sun, Mark E. Sorrells, Jean‐Luc Jannink, Jessica Rutkoski and Trevor W. Rife and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jesse Poland

188 papers receiving 16.0k citations

Hit Papers

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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.

A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species

2011 4.6k citations Robert J. Elshire, Jeffrey C. Glaubitz et al. PLoS ONE profile →
Development of High-Density Genetic Maps for Barley and Wheat Using a Novel Two-Enzyme Genotyping-by-Sequencing Approach

2012 1.3k citations Jesse Poland, Mark E. Sorrells et al. PLoS ONE profile →
Genotyping‐by‐Sequencing for Plant Breeding and Genetics

2012 593 citations Jesse Poland et al. The Plant Genome profile →
Shades of gray: the world of quantitative disease resistance

2008 521 citations Jesse Poland et al. profile →
Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencing

2012 507 citations Jesse Poland, Jessica Rutkoski et al. The Plant Genome profile →
Canopy Temperature and Vegetation Indices from High-Throughput Phenotyping Improve Accuracy of Pedigree and Genomic Selection for Grain Yield in Wheat

2016 281 citations Jessica Rutkoski, Jesse Poland et al. G3 Genes Genomes Genetics profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jesse Poland	13.1k	8.7k	2.4k	1.5k	1.3k	193	16.2k
Albrecht E. Melchinger	17.6k 1.3×	12.2k 1.4×	3.0k 1.3×	1.8k 1.2×	557 0.4×	399	19.7k
Michael A. Gore	8.7k 0.7×	4.1k 0.5×	2.0k 0.8×	744 0.5×	951 0.7×	139	10.7k
Ravi P. Singh	24.3k 1.8×	8.1k 0.9×	4.3k 1.8×	4.1k 2.7×	652 0.5×	424	25.6k
Jean‐Luc Jannink	13.4k 1.0×	10.5k 1.2×	1.2k 0.5×	1.2k 0.8×	394 0.3×	210	15.9k
Susan R. McCouch	28.8k 2.2×	17.4k 2.0×	6.4k 2.7×	1.0k 0.7×	581 0.4×	238	32.4k
Henry T. Nguyen	15.5k 1.2×	2.9k 0.3×	3.7k 1.6×	2.0k 1.3×	594 0.4×	365	17.4k
Mark E. Sorrells	23.2k 1.8×	13.0k 1.5×	3.9k 1.6×	2.3k 1.5×	463 0.3×	289	26.7k
Andrzej Kilian	8.9k 0.7×	4.6k 0.5×	2.8k 1.2×	766 0.5×	614 0.5×	232	12.0k
David B. Neale	4.6k 0.4×	5.3k 0.6×	4.2k 1.8×	739 0.5×	1.5k 1.1×	205	11.0k
Fred A. van Eeuwijk	7.3k 0.6×	4.1k 0.5×	1.1k 0.5×	985 0.6×	350 0.3×	211	8.9k

Countries citing papers authored by Jesse Poland

Since Specialization

Citations

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

Fields of papers citing papers by Jesse Poland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse Poland

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

All Works

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20 of 20 papers shown

Shrestha, Sandesh, Laxman Adhikari, Jared Crain, et al.. (2025). Genotyping analysis of over 130,000 CIMMYT bread wheat breeding lines: A decade‐long effort in optimizing wheat genotyping. The Plant Genome. 18(4). e70148–e70148.

Poland, Jesse, et al.. (2024). Implementing multi‐trait genomic selection to improve grain milling quality in oats ( Avena sativa L.). The Plant Genome. 17(2). e20457–e20457. 4 indexed citations

Heuberger, Matthias, Dal‐Hoe Koo, Hanin Ibrahim Ahmed, et al.. (2024). Evolution of Einkorn wheat centromeres is driven by the mutualistic interplay of two LTR retrotransposons. Mobile DNA. 15(1). 16–16. 5 indexed citations

Shrestha, Sandesh, Dal‐Hoe Koo, Byron Evers, et al.. (2023). Wheat doubled haploids have a marked prevalence of chromosomal aberrations. The Plant Genome. 16(2). e20309–e20309. 4 indexed citations

Adhikari, Laxman, John Raupp, Shuangye Wu, et al.. (2023). Genomic characterization and gene bank curation of Aegilops: the wild relatives of wheat. Frontiers in Plant Science. 14. 1268370–1268370. 7 indexed citations

Marla, Sandeep, Chad Hayes, Ramasamy Perumal, et al.. (2023). Genomics and phenomics enabled prebreeding improved early-season chilling tolerance in Sorghum. G3 Genes Genomes Genetics. 13(8). 4 indexed citations

Silva, Paula, Byron Evers, Xu Wang, et al.. (2022). Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat. G3 Genes Genomes Genetics. 12(7). 4 indexed citations

Adhikari, Laxman, John Raupp, Shuangye Wu, et al.. (2022). Genetic characterization and curation of diploid A-genome wheat species. PLANT PHYSIOLOGY. 188(4). 2101–2114. 13 indexed citations

Ali, Mohsin, Mohammed Shahid, Anjuman Arif, et al.. (2022). Genetic networks underlying salinity tolerance in wheat uncovered with genome-wide analyses and selective sweeps. Theoretical and Applied Genetics. 135(9). 2925–2941. 8 indexed citations

10.

Baenziger, P. Stephen, Katherine Frels, Jeffrey D. Boehm, et al.. (2022). Registration of ‘Epoch’ hard red winter wheat. Journal of Plant Registrations. 16(3). 613–621. 1 indexed citations

11.

Fritz, Allan K., et al.. (2021). Accelerating wheat breeding for end‐use quality through association mapping and multivariate genomic prediction. The Plant Genome. 14(3). e20164–e20164. 17 indexed citations

12.

Sousa, Kauê de, Jacob van Etten, Jesse Poland, et al.. (2021). Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment. Communications Biology. 4(1). 944–944. 31 indexed citations

13.

Poland, Jesse, et al.. (2020). Recurrent genomic selection for wheat grain fructans. Crop Science. 60(3). 1499–1512. 12 indexed citations

14.

Mondal, Suchismita, José Crossa, Ravi P. Singh, et al.. (2020). Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs. Crop Science. 60(6). 3096–3114. 39 indexed citations

15.

Sehgal, Deepmala, Suchismita Mondal, Leonardo Crespo‐Herrera, et al.. (2020). Haplotype-Based, Genome-Wide Association Study Reveals Stable Genomic Regions for Grain Yield in CIMMYT Spring Bread Wheat. Frontiers in Genetics. 11. 589490–589490. 28 indexed citations

16.

Wang, Xu, Hong Xuan, Byron Evers, et al.. (2019). High-throughput phenotyping with deep learning gives insight into the genetic architecture of flowering time in wheat. GigaScience. 8(11). 46 indexed citations

17.

González-Pérez, Lorena, José Crossa, Paulino Pérez‐Rodríguez, et al.. (2019). Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat. G3 Genes Genomes Genetics. 9(4). 1231–1247. 107 indexed citations

18.

Montilla‐Bascón, Gracia, Owen A. Hoekenga, Nicholas A. Tinker, et al.. (2019). Multivariate Genome-Wide Association Analyses Reveal the Genetic Basis of Seed Fatty Acid Composition in Oat ( Avena sativa L.). G3 Genes Genomes Genetics. 9(9). 2963–2975. 35 indexed citations

19.

Hussain, Waseem, P. Stephen Baenziger, Vikas Belamkar, et al.. (2017). Genotyping-by-Sequencing Derived High-Density Linkage Map and its Application to QTL Mapping of Flag Leaf Traits in Bread Wheat. Scientific Reports. 7(1). 16394–16394. 94 indexed citations

20.

Elshire, Robert J., Jeffrey C. Glaubitz, Qi Sun, et al.. (2011). A Robust, Simple Genotyping-by-Sequencing (GBS) Approach for High Diversity Species. PLoS ONE. 6(5). e19379–e19379. 4595 indexed citations breakdown →

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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