Dior R. Kelley

1.3k total citations
27 papers, 948 citations indexed

About

Dior R. Kelley is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Dior R. Kelley has authored 27 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 22 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Dior R. Kelley's work include Plant Molecular Biology Research (23 papers), Plant Reproductive Biology (13 papers) and Plant nutrient uptake and metabolism (10 papers). Dior R. Kelley is often cited by papers focused on Plant Molecular Biology Research (23 papers), Plant Reproductive Biology (13 papers) and Plant nutrient uptake and metabolism (10 papers). Dior R. Kelley collaborates with scholars based in United States, Australia and France. Dior R. Kelley's co-authors include Charles S. Gasser, Mark Estelle, Robyn Cotter, Sheila McCormick, Alexandra Arreola, Thomas L. Gallagher, Justin W. Walley, Inés Ezcurra, Weihua Tang and Debra J. Skinner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Dior R. Kelley

26 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dior R. Kelley United States 12 833 755 92 37 28 27 948
Dazhong Zhao United States 19 1.4k 1.7× 1.1k 1.5× 80 0.9× 37 1.0× 24 0.9× 22 1.5k
Tom Van Hautegem Belgium 12 591 0.7× 449 0.6× 29 0.3× 44 1.2× 16 0.6× 13 714
Jennifer M. Gagne United States 8 1.3k 1.5× 972 1.3× 50 0.5× 30 0.8× 42 1.5× 10 1.5k
Tony D. Perdue United States 13 690 0.8× 692 0.9× 50 0.5× 39 1.1× 87 3.1× 19 915
Matthias Van Durme Belgium 8 632 0.8× 502 0.7× 33 0.4× 13 0.4× 41 1.5× 8 734
Iva Mozgová Czechia 19 1.1k 1.3× 986 1.3× 27 0.3× 54 1.5× 20 0.7× 35 1.3k
Wenjiao Zhu China 12 856 1.0× 538 0.7× 103 1.1× 20 0.5× 18 0.6× 25 961
Soon‐Ki Han United States 18 1.2k 1.4× 904 1.2× 21 0.2× 35 0.9× 20 0.7× 20 1.3k
Derek J. Gingerich United States 9 1.0k 1.3× 836 1.1× 19 0.2× 33 0.9× 38 1.4× 10 1.2k

Countries citing papers authored by Dior R. Kelley

Since Specialization
Citations

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

Fields of papers citing papers by Dior R. Kelley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dior R. Kelley. 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 Dior R. Kelley. The network helps show where Dior R. Kelley may publish in the future.

Co-authorship network of co-authors of Dior R. Kelley

This figure shows the co-authorship network connecting the top 25 collaborators of Dior R. Kelley. A scholar is included among the top collaborators of Dior R. Kelley 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 Dior R. Kelley. Dior R. Kelley 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.
Walley, Justin W., et al.. (2025). Identification of phenotypic and transcriptomic signatures underpinning maize crown root systems. Plant Phenomics. 7(1). 100008–100008.
2.
Ke, Haiyan, et al.. (2024). ZmPILS6 is an auxin efflux carrier required for maize root morphogenesis. Proceedings of the National Academy of Sciences. 121(22). e2313216121–e2313216121. 5 indexed citations
3.
Song, Gaoyuan, Christian Montes, Chonghui Ji, et al.. (2024). Quantitative proteomics reveals extensive lysine ubiquitination and transcription factor stability states in Arabidopsis. The Plant Cell. 37(1). 4 indexed citations
4.
Kelley, Dior R., et al.. (2024). The Rolled Towel Method for Hormone Response Assays in Maize. Cold Spring Harbor Protocols. 2026(2). pdb.prot108623–pdb.prot108623. 2 indexed citations
5.
Kelley, Dior R., et al.. (2024). Exogenous Hormone Treatments in Maize. Cold Spring Harbor Protocols. 2026(2). pdb.top108526–pdb.top108526. 2 indexed citations
6.
Clark, Natalie M., Bhavna Hurgobin, Dior R. Kelley, Mathew G. Lewsey, & Justin W. Walley. (2023). A Practical Guide to Inferring Multi-Omics Networks in Plant Systems. Methods in molecular biology. 2698. 233–257. 1 indexed citations
7.
Swaminathan, Sivakumar, Jan Šimura, Christian Montes, et al.. (2023). Changes in cell wall composition due to a pectin biosynthesis enzyme GAUT10 impact root growth. PLANT PHYSIOLOGY. 193(4). 2480–2497. 12 indexed citations
8.
Kelley, Dior R., et al.. (2023). Roles of auxin pathways in maize biology. Journal of Experimental Botany. 74(22). 6989–6999. 11 indexed citations
9.
Clark, Natalie M., et al.. (2023). The class VIII myosin ATM1 is required for root apical meristem function. Development. 150(20). 3 indexed citations
10.
Pěnčík, Aleš, et al.. (2023). N6-adenosine methylation of mRNA integrates multilevel auxin response and ground tissue development in Arabidopsis. Development. 150(19). 6 indexed citations
11.
Montes, Christian, et al.. (2021). slim shady is a novel allele of PHYTOCHROME B present in the T‐DNA line SALK_015201. Plant Direct. 5(6). e00326–e00326. 5 indexed citations
12.
Kelley, Dior R., et al.. (2020). A role for Arabidopsis myosins in sugar-induced hypocotyl elongation. PubMed. 2020. 4 indexed citations
13.
Pu, Yunting, Justin W. Walley, Zhouxin Shen, et al.. (2019). Quantitative Early Auxin Root Proteomics Identifies GAUT10, a Galacturonosyltransferase, as a Novel Regulator of Root Meristem Maintenance. Molecular & Cellular Proteomics. 18(6). 1157–1170. 18 indexed citations
14.
Clark, Natalie M., Zhouxin Shen, Steven P. Briggs, Justin W. Walley, & Dior R. Kelley. (2019). Auxin Induces Widespread Proteome Remodeling in Arabidopsis Seedlings. PROTEOMICS. 19(17). e1900199–e1900199. 7 indexed citations
15.
Kelley, Dior R.. (2018). E3 Ubiquitin Ligases: Key Regulators of Hormone Signaling in Plants. Molecular & Cellular Proteomics. 17(6). 1047–1054. 81 indexed citations
16.
Kelley, Dior R., et al.. (2015). Lysine Residues Are Not Required for Proteasome-Mediated Proteolysis of the Auxin/Indole Acidic Acid Protein IAA1. PLANT PHYSIOLOGY. 168(2). 708–720. 41 indexed citations
17.
Walley, Justin W., Dior R. Kelley, Tatyana Savchenko, & Katayoon Dehesh. (2010). Investigating the function of CAF1 deadenylases during plant stress responses. Plant Signaling & Behavior. 5(7). 802–805. 18 indexed citations
18.
Kelley, Dior R. & Charles S. Gasser. (2009). Ovule development: genetic trends and evolutionary considerations. Sexual Plant Reproduction. 22(4). 229–234. 57 indexed citations
19.
Kelley, Dior R., Debra J. Skinner, & Charles S. Gasser. (2008). Roles of polarity determinants in ovule development. The Plant Journal. 57(6). 1054–1064. 66 indexed citations
20.
Kaothien-Nakayama, Pulla, Sung Han Ok, Bin Shuai, et al.. (2005). Kinase partner protein interacts with the LePRK1 and LePRK2 receptor kinases and plays a role in polarized pollen tube growth. The Plant Journal. 42(4). 492–503. 126 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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