Owen A. Hoekenga

6.6k total citations · 3 hit papers
41 papers, 4.3k citations indexed

About

Owen A. Hoekenga is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Owen A. Hoekenga has authored 41 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 9 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Owen A. Hoekenga's work include Plant Micronutrient Interactions and Effects (14 papers), Aluminum toxicity and tolerance in plants and animals (14 papers) and Plant Stress Responses and Tolerance (12 papers). Owen A. Hoekenga is often cited by papers focused on Plant Micronutrient Interactions and Effects (14 papers), Aluminum toxicity and tolerance in plants and animals (14 papers) and Plant Stress Responses and Tolerance (12 papers). Owen A. Hoekenga collaborates with scholars based in United States, Japan and China. Owen A. Hoekenga's co-authors include Leon V. Kochian, Miguel A. Piñeros, Jon E. Shaff, Hiroyuki Koyama, Lyza Maron, J. V. de Magalhães, Ivan Baxter, Matthew V. DiLeo, Vera Alves and U. G. P. Lana and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Owen A. Hoekenga

41 papers receiving 4.2k citations

Hit Papers

HOW DO CROP PLANTS TOLERATE ACID SOILS? MECHANISMS OF ALU... 2004 2026 2011 2018 2004 2007 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Owen A. Hoekenga United States 22 3.9k 526 423 296 207 41 4.3k
Jon E. Shaff United States 31 5.0k 1.3× 448 0.9× 439 1.0× 139 0.5× 207 1.0× 44 5.4k
Miguel A. Piñeros United States 36 7.0k 1.8× 884 1.7× 641 1.5× 156 0.5× 301 1.5× 71 7.5k
Hua Tian China 35 2.4k 0.6× 123 0.2× 733 1.7× 246 0.8× 286 1.4× 138 3.6k
Salem S. Alghamdi Saudi Arabia 26 1.9k 0.5× 115 0.2× 287 0.7× 135 0.5× 339 1.6× 81 2.6k
Min Yu China 28 2.0k 0.5× 78 0.1× 496 1.2× 119 0.4× 131 0.6× 119 2.6k
Kengo Yokosho Japan 31 4.1k 1.1× 104 0.2× 431 1.0× 92 0.3× 107 0.5× 39 4.4k
Fangsen Xu China 36 3.4k 0.9× 50 0.1× 914 2.2× 219 0.7× 342 1.7× 160 3.8k
Xiaolong Yan China 34 4.1k 1.1× 131 0.2× 358 0.8× 146 0.5× 518 2.5× 89 4.4k
Javaid Akhter Bhat China 35 3.6k 0.9× 52 0.1× 740 1.7× 352 1.2× 89 0.4× 113 4.4k
Luqing Zheng China 24 2.3k 0.6× 61 0.1× 788 1.9× 82 0.3× 122 0.6× 41 2.8k

Countries citing papers authored by Owen A. Hoekenga

Since Specialization
Citations

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

Fields of papers citing papers by Owen A. Hoekenga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Owen A. Hoekenga. 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 Owen A. Hoekenga. The network helps show where Owen A. Hoekenga may publish in the future.

Co-authorship network of co-authors of Owen A. Hoekenga

This figure shows the co-authorship network connecting the top 25 collaborators of Owen A. Hoekenga. A scholar is included among the top collaborators of Owen A. Hoekenga 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 Owen A. Hoekenga. Owen A. Hoekenga 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
2.
Hu, Haixiao, Malachy T. Campbell, Trevor H. Yeats, et al.. (2021). Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations. Theoretical and Applied Genetics. 134(12). 4043–4054. 29 indexed citations
3.
Nakano, Yuki, Owen A. Hoekenga, Keisuke Tanaka, et al.. (2020). Genome-Wide Association Study and Genomic Prediction Elucidate the Distinct Genetic Architecture of Aluminum and Proton Tolerance in Arabidopsis thaliana. Frontiers in Plant Science. 11. 405–405. 17 indexed citations
4.
Hu, Haixiao, Juan J. Gutiérrez-González, Xinfang Liu, et al.. (2019). Heritable temporal gene expression patterns correlate with metabolomic seed content in developing hexaploid oat seed. Plant Biotechnology Journal. 18(5). 1211–1222. 19 indexed citations
5.
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
6.
Wang, Shuanglong, Laurent Ouerdane, Owen A. Hoekenga, Joanna Szpunar, & Ryszard Łobiński. (2019). Mass spectrometry-based analytical developments to link iron speciation to iron bioavailability in maize. Food Chemistry. 294. 414–422. 7 indexed citations
7.
Schaefer, Robert, Jean‐Michel Michno, Owen A. Hoekenga, et al.. (2018). Integrating Coexpression Networks with GWAS to Prioritize Causal Genes in Maize. The Plant Cell. 30(12). 2922–2942. 111 indexed citations
8.
Montilla‐Bascón, Gracia, et al.. (2017). Chromatographic Methods to Evaluate Nutritional Quality in Oat. Methods in molecular biology. 1536. 115–125. 5 indexed citations
9.
Ziegler, Gregory R., et al.. (2016). The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome. G3 Genes Genomes Genetics. 6(12). 4175–4183. 30 indexed citations
10.
Kobayashi, Yuriko, Ayan Sadhukhan, Yuki Nakano, et al.. (2015). Joint genetic and network analyses identify loci associated with root growth under NaCl stress in Arabidopsis thaliana. Plant Cell & Environment. 39(4). 918–934. 40 indexed citations
11.
Shen, Miaoqing, et al.. (2013). Leveraging Non-Targeted Metabolite Profiling via Statistical Genomics. PLoS ONE. 8(2). e57667–e57667. 16 indexed citations
12.
Lung’aho, Mercy, Stephen J. Szalma, Jonathan J. Hart, et al.. (2011). Genetic and Physiological Analysis of Iron Biofortification in Maize Kernels. PLoS ONE. 6(6). e20429–e20429. 71 indexed citations
13.
DiLeo, Matthew V., et al.. (2011). Weighted Correlation Network Analysis (WGCNA) Applied to the Tomato Fruit Metabolome. PLoS ONE. 6(10). e26683–e26683. 157 indexed citations
14.
Lung’aho, Mercy, Owen A. Hoekenga, Elad Tako, & Raymond P. Glahn. (2010). Enhancing iron bioavailability of maize using a Caco2 cell/quantitative trait loci model. The FASEB Journal. 24(S1). 1 indexed citations
15.
Rus, Ana, Brett Lahner, Owen A. Hoekenga, et al.. (2010). Natural Genetic Variation in Selected Populations of Arabidopsis thaliana Is Associated with Ionomic Differences. PLoS ONE. 5(6). e11081–e11081. 65 indexed citations
16.
Hoekenga, Owen A.. (2008). Using metabolomics to estimate unintended effects in transgenic crop plants: problems, promises, and opportunities.. PubMed. 19(3). 159–66. 31 indexed citations
17.
Kobayashi, Yuki, Owen A. Hoekenga, Hirotaka Itoh, et al.. (2007). Characterization of AtALMT1 Expression in Aluminum-Inducible Malate Release and Its Role for Rhizotoxic Stress Tolerance in Arabidopsis. PLANT PHYSIOLOGY. 145(3). 843–852. 167 indexed citations
18.
Küpper, Hendrik, et al.. (2007). A method for cellular localization of gene expression via quantitative in situ hybridization in plants. The Plant Journal. 50(1). 159–187. 36 indexed citations
19.
Hoekenga, Owen A., Lyza Maron, Miguel A. Piñeros, et al.. (2006). AtALMT1 , which encodes a malate transporter, is identified as one of several genes critical for aluminum tolerance in Arabidopsis. Proceedings of the National Academy of Sciences. 103(25). 9738–9743. 459 indexed citations
20.
Hoekenga, Owen A., Michael G. Muszynski, & Karen C. Cone. (2000). Developmental Patterns of Chromatin Structure and DNA Methylation Responsible for Epigenetic Expression of a Maize Regulatory Gene. Genetics. 155(4). 1889–1902. 40 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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