Terry A. Wheeler

2.5k total citations
106 papers, 1.8k citations indexed

About

Terry A. Wheeler is a scholar working on Plant Science, Cell Biology and Endocrinology. According to data from OpenAlex, Terry A. Wheeler has authored 106 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Plant Science, 25 papers in Cell Biology and 25 papers in Endocrinology. Recurrent topics in Terry A. Wheeler's work include Research in Cotton Cultivation (31 papers), Plant and Fungal Interactions Research (25 papers) and Plant Pathogens and Fungal Diseases (25 papers). Terry A. Wheeler is often cited by papers focused on Research in Cotton Cultivation (31 papers), Plant and Fungal Interactions Research (25 papers) and Plant Pathogens and Fungal Diseases (25 papers). Terry A. Wheeler collaborates with scholars based in United States, United Kingdom and China. Terry A. Wheeler's co-authors include Andrew J. Challinor, Jane K. Dever, Libo Shan, Ping He, James Hansen, Xiquan Gao, Amor V.M. Ines, Vincent Moron, Charles M. Kenerley and Zhaohu Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and New Phytologist.

In The Last Decade

Terry A. Wheeler

99 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Terry A. Wheeler United States 20 1.4k 285 262 253 234 106 1.8k
Daniel A. Kluepfel United States 22 1.1k 0.8× 243 0.9× 171 0.7× 59 0.2× 113 0.5× 72 1.5k
Carlos Colinas Spain 24 1.0k 0.8× 297 1.0× 415 1.6× 250 1.0× 71 0.3× 71 1.6k
R. Ghini Brazil 18 982 0.7× 173 0.6× 109 0.4× 161 0.6× 20 0.1× 91 1.3k
Erland Liljeroth Sweden 28 1.8k 1.3× 408 1.4× 120 0.5× 173 0.7× 20 0.1× 66 2.1k
Bruce Lampinen United States 25 1.2k 0.9× 62 0.2× 466 1.8× 84 0.3× 53 0.2× 88 1.5k
Gary G. Grove United States 24 1.3k 0.9× 657 2.3× 83 0.3× 330 1.3× 45 0.2× 80 1.5k
Michael C. T. Trought New Zealand 30 2.4k 1.7× 84 0.3× 561 2.1× 168 0.7× 19 0.1× 83 2.8k
Mark J. Dieters Australia 22 992 0.7× 121 0.4× 150 0.6× 81 0.3× 14 0.1× 98 1.5k
Rodica Pena Germany 21 955 0.7× 107 0.4× 170 0.6× 179 0.7× 12 0.1× 47 1.3k
Juán Martínez de Aragón Spain 26 1.0k 0.7× 190 0.7× 526 2.0× 298 1.2× 12 0.1× 62 1.7k

Countries citing papers authored by Terry A. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Terry A. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terry A. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Terry A. Wheeler. A scholar is included among the top collaborators of Terry A. Wheeler 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 Terry A. Wheeler. Terry A. Wheeler 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
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Zhang, Jinfa, Yi Zhu, Terry A. Wheeler, Jane K. Dever, & Kater Hake. (2023). Targeted development of diagnostic SNP markers for resistance to Fusarium wilt race 4 in Upland cotton (Gossypium hirsutum). Molecular Genetics and Genomics. 298(4). 895–903. 4 indexed citations
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Abdelraheem, Abdelraheem, Yi Zhu, Terry A. Wheeler, et al.. (2021). Evaluation and genome-wide association study of resistance to bacterial blight race 18 in U.S. Upland cotton germplasm. Molecular Genetics and Genomics. 296(3). 719–729. 11 indexed citations
6.
Babilonia, Kevin, Ping Wang, Zunyong Liu, et al.. (2020). A nonproteinaceousFusariumcell wall extract triggers receptor‐like protein‐dependent immune responses in Arabidopsis and cotton. New Phytologist. 230(1). 275–289. 19 indexed citations
7.
Berry, Jeffrey C., et al.. (2017). Genomics-enabled analysis of the emergent disease cotton bacterial blight. PLoS Genetics. 13(9). e1007003–e1007003. 33 indexed citations
8.
Woodward, Jason E., et al.. (2016). Effect of the Easiflo Cottonseed Processing Method on Recovery of Xanthomonas axonopodis pv. malvacearum. 25. 13–23. 1 indexed citations
9.
Osborne, Thomas M., J. Gornall, Josh Hooker, et al.. (2015). JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator. Geoscientific model development. 8(4). 1139–1155. 57 indexed citations
10.
Wheeler, Terry A., et al.. (2014). Effect of Cropping Systems on Densities of Verticillium dahliae. ˜The œjournal of cotton science/Journal of cotton science. 18(2). 355–361. 5 indexed citations
11.
Nansen, Christian, et al.. (2013). Biological Control Agent of Larger Black Flour Beetles (Coleoptera: Tenebrionidae): A Nuisance Pest Developing in Cotton Gin Trash Piles. Journal of Economic Entomology. 106(2). 648–652. 7 indexed citations
12.
Hao, Xingyu, et al.. (2012). Effects of fully open-air [CO<sub>2</sub>] elevation on leaf ultrastructure, photosynthesis, and yield of two soybean cultivars. Photosynthetica. 50(3). 362–370. 36 indexed citations
13.
Woodward, Jason E., et al.. (2012). Effect of Fusarium oxysporum f. sp. vasinfectum Inoculum Density, Meloidogyne incognita and Cotton Cultivar on Fusarium Wilt Development. 25. 46–56. 2 indexed citations
14.
Woodward, Jason E., et al.. (2012). Effect of Cultivar Selection on Soil Population of Verticillium dahliae and Wilt Development in Cotton. Plant Health Progress. 13(1). 3 indexed citations
15.
Gao, Xiquan, Terry A. Wheeler, Zhaohu Li, et al.. (2011). Silencing GhNDR1 and GhMKK2 compromises cotton resistance to Verticillium wilt. The Plant Journal. 66(2). 293–305. 217 indexed citations
16.
Wheeler, Terry A., Jason E. Woodward, & Benjamin G. Mullinix. (2010). Effect of Seeding Rate on Verticillium Wilt Incidence, Yield, and Value For Three Cotton Cultivars. ˜The œjournal of cotton science/Journal of cotton science. 14(3). 173–180. 7 indexed citations
17.
Wheeler, Terry A., J. Wayne Keeling, James P. Bordovsky, et al.. (2009). Effect of Irrigation Rates on Three Cotton (Gossypium hirsutum L.) Cultivars in a Root-knot Nematode (Meloidogyne incognita) Infested Field. ˜The œjournal of cotton science/Journal of cotton science. 13(2). 56–66. 1 indexed citations
18.
Wheeler, Terry A., L. V. Madden, R. C. Rowe, & R. M. Riedel. (2000). Effects of Quadrat Size and Time of Year for Sampling of Verticillium dahliae and Lesion Nematodes in Potato Fields. Plant Disease. 84(9). 961–966. 8 indexed citations
19.
Wheeler, Terry A. & J. R. Gannaway. (1998). Effect of cotton pathogens on disease symptoms and yield of cotton varieties in large plot field trials. 7 indexed citations
20.
Wheeler, Terry A., et al.. (1984). Treatment of hypercalcaemia associated with malignancy. BMJ. 288(6425). 1235.2–1235. 1 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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