Addie Thompson

1.4k total citations
33 papers, 826 citations indexed

About

Addie Thompson is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Addie Thompson has authored 33 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 19 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Addie Thompson's work include Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetics and Plant Breeding (10 papers) and Genetic and phenotypic traits in livestock (8 papers). Addie Thompson is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetics and Plant Breeding (10 papers) and Genetic and phenotypic traits in livestock (8 papers). Addie Thompson collaborates with scholars based in United States, Australia and Japan. Addie Thompson's co-authors include Gary J. Muehlbauer, Nathan M. Springer, Irina Makarevitch, Lei Li, Joanne Chory, Xiaofei Yu, Yanhai Yin, Tadao Asami, Shigeo Yoshida and Scott Chapman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Addie Thompson

32 papers receiving 814 citations

Peers

Addie Thompson

GENET

ECOLO

ACS

Waseem Hussain United States

Chenyong Miao United States

Yongdun Xie China

Qiaojun Lou China

Jiaoping Zhang United States

Christoph Grieder Switzerland

Frank Gilmer Germany

Zenglu Li United States

Malachy T. Campbell United States

Karansher Singh Sandhu United States

Waseem Hussain United States

Addie Thompson

982 ×1.4

247 ×1.0

299 ×1.2

GENET

126 ×1.2

ECOLO

87 ×1.2

ACS

Citations per year, relative to Addie Thompson Addie Thompson (= 1×) peers Waseem Hussain

Countries citing papers authored by Addie Thompson

Since Specialization

Citations

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

Fields of papers citing papers by Addie Thompson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Addie Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of Addie Thompson. A scholar is included among the top collaborators of Addie Thompson 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 Addie Thompson. Addie Thompson 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

Álvarez, Nora P Castañeda, Eric von Wettberg, Bryan C. Runck, et al.. (2025). Prioritizing parents from global genebanks to breed climate-resilient crops. Nature Climate Change. 15(6). 673–681. 4 indexed citations

Singh, Anuradha, Linsey Newton, James C. Schnable, & Addie Thompson. (2025). Unveiling shared genetic regulators of plant architectural and biomass yield traits in the Sorghum Association Panel. Journal of Experimental Botany. 76(6). 1625–1643. 4 indexed citations

Thompson, Addie, et al.. (2024). PyBrOpS: a Python package for breeding program simulation and optimization for multi-objective breeding. G3 Genes Genomes Genetics. 14(10). 1 indexed citations

Thompson, Addie, et al.. (2024). Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat. Scientific Reports. 14(1). 19340–19340. 1 indexed citations

Weng, Yiqun, et al.. (2024). Genome-Wide Association Study of Cuticle and Lipid Droplet Properties of Cucumber (Cucumis sativus L.) Fruit. International Journal of Molecular Sciences. 25(17). 9306–9306. 1 indexed citations

Li, Delin, Linsey Newton, J M Davis, et al.. (2024). Population‐level gene expression can repeatedly link genes to functions in maize. The Plant Journal. 119(2). 844–860. 5 indexed citations

Guo, Tingting, Qi Mu, Ravi V. Mural, et al.. (2024). Genetic and Environmental Patterns Underlying Phenotypic Plasticity in Flowering Time and Plant Height in Sorghum. Plant Cell & Environment. 48(4). 2727–2738. 7 indexed citations

Wallace, Jason G., James C. Schnable, Judith M. Kolkman, et al.. (2023). Yield prediction through integration of genetic, environment, and management data through deep learning. G3 Genes Genomes Genetics. 13(4). 26 indexed citations

Pardo, Jeremy, Ching Man Wai, Annie L. Nguyen, et al.. (2023). Cross-species predictive modeling reveals conserved drought responses between maize and sorghum. Proceedings of the National Academy of Sciences. 120(10). e2216894120–e2216894120. 5 indexed citations

10.

Lopez‐Cruz, Marco, Jacob D. Washburn, Natalia de León, et al.. (2023). Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America. Nature Communications. 14(1). 6904–6904. 18 indexed citations

11.

Ying, Sheng, Qianjie Wang, Linsey Newton, et al.. (2023). Multiscale physiological responses to nitrogen supplementation of maize hybrids. PLANT PHYSIOLOGY. 195(1). 879–899. 7 indexed citations

12.

Ahmed, Zubair, Abdul Ghafoor, Muhammad Kausar Nawaz Shah, et al.. (2022). SNP-Based Genome-Wide Association Mapping of Pollen Viability Under Heat Stress in Tropical Zea mays L. Inbred Lines. Frontiers in Genetics. 13. 819849–819849. 9 indexed citations

13.

Thompson, Addie, Michael B. Kantar, & Katy Martin Rainey. (2022). Designing Experiments for Physiological Phenomics. Methods in molecular biology. 2539. 159–170. 2 indexed citations

14.

Song, Guo‐qing, et al.. (2021). Utilizing MIKC-type MADS-box protein SOC1 for yield potential enhancement in maize. Plant Cell Reports. 40(9). 1679–1693. 15 indexed citations

15.

Raju, Sunil K. Kenchanmane, Addie Thompson, & James C. Schnable. (2020). Advances in plant phenomics: From data and algorithms to biological insights. Applications in Plant Sciences. 8(8). 3 indexed citations

16.

Eeuwijk, Fred A. van, Daniela Bustos‐Korts, Émilie Millet, et al.. (2018). Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding. Plant Science. 282. 23–39. 154 indexed citations

17.

Bernardo, Rex & Addie Thompson. (2016). Germplasm Architecture Revealed through Chromosomal Effects for Quantitative Traits in Maize. The Plant Genome. 9(2). 11 indexed citations

18.

Makarevitch, Irina, Addie Thompson, Gary J. Muehlbauer, & Nathan M. Springer. (2012). Brd1 Gene in Maize Encodes a Brassinosteroid C-6 Oxidase. PLoS ONE. 7(1). e30798–e30798. 126 indexed citations

19.

Li, Lei, Xiaofei Yu, Addie Thompson, et al.. (2008). Arabidopsis MYB30 is a direct target of BES1 and cooperates with BES1 to regulate brassinosteroid‐induced gene expression. The Plant Journal. 58(2). 275–286. 213 indexed citations

20.

Gupta, et al.. (2002). Development of SSR Markers towards Genetic Mapping in Cotton(Gossypium hirsutum L. ). 26–26. 2 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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