C. Wayne Smith

4.3k total citations · 2 hit papers
124 papers, 3.2k citations indexed

About

C. Wayne Smith is a scholar working on Plant Science, Endocrinology and Agronomy and Crop Science. According to data from OpenAlex, C. Wayne Smith has authored 124 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Plant Science, 21 papers in Endocrinology and 15 papers in Agronomy and Crop Science. Recurrent topics in C. Wayne Smith's work include Research in Cotton Cultivation (110 papers), Plant and Fungal Interactions Research (21 papers) and Plant Virus Research Studies (14 papers). C. Wayne Smith is often cited by papers focused on Research in Cotton Cultivation (110 papers), Plant and Fungal Interactions Research (21 papers) and Plant Virus Research Studies (14 papers). C. Wayne Smith collaborates with scholars based in United States, Japan and Belgium. C. Wayne Smith's co-authors include J. Tom Cothren, W. C. Smith, R. A. Frederiksen, Peng W. Chee, Andrew H. Paterson, Xavier Draye, P. M. Thaxton, Steve Hague, Eric Héquet and David M. Stelly and has published in prestigious journals such as Genetics, Evolution and Theoretical and Applied Genetics.

In The Last Decade

C. Wayne Smith

122 papers receiving 2.9k citations

Hit Papers

Rice: origin, history, technology and production. 1999 2026 2008 2017 1999 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Wayne Smith United States 25 2.7k 452 441 380 316 124 3.2k
Muhammad Iqbal Pakistan 33 2.8k 1.0× 683 1.5× 159 0.4× 692 1.8× 422 1.3× 176 3.6k
Jack C. McCarty United States 34 3.7k 1.4× 273 0.6× 775 1.8× 241 0.6× 638 2.0× 219 4.0k
Daryl T. Bowman United States 25 1.7k 0.6× 216 0.5× 319 0.7× 156 0.4× 146 0.5× 102 1.8k
Philippe Delfosse Belgium 26 930 0.3× 282 0.6× 137 0.3× 130 0.3× 449 1.4× 103 2.0k
J. Tom Cothren United States 21 1.6k 0.6× 313 0.7× 63 0.1× 110 0.3× 211 0.7× 63 1.9k
T. S. Cox United States 31 3.5k 1.3× 1.0k 2.3× 40 0.1× 733 1.9× 486 1.5× 117 4.1k
W. W. Bockus United States 26 2.4k 0.9× 239 0.5× 58 0.1× 198 0.5× 320 1.0× 76 2.6k
B. D. Gossen Canada 42 5.2k 1.9× 521 1.2× 777 1.8× 37 0.1× 669 2.1× 216 5.6k
E. Duveiller Mexico 33 3.6k 1.3× 724 1.6× 30 0.1× 406 1.1× 356 1.1× 116 4.1k
Gary C. Bergstrom United States 32 3.5k 1.3× 176 0.4× 83 0.2× 238 0.6× 553 1.8× 144 3.9k

Countries citing papers authored by C. Wayne Smith

Since Specialization
Citations

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

Fields of papers citing papers by C. Wayne Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Wayne Smith. 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 C. Wayne Smith. The network helps show where C. Wayne Smith may publish in the future.

Co-authorship network of co-authors of C. Wayne Smith

This figure shows the co-authorship network connecting the top 25 collaborators of C. Wayne Smith. A scholar is included among the top collaborators of C. Wayne Smith 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 C. Wayne Smith. C. Wayne Smith 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.
Smith, C. Wayne, et al.. (2021). TAM KJ‐Q14 ESU and TAM 12J‐39 ESU upland cotton germplasm with improved fiber bundle strength. Journal of Plant Registrations. 15(2). 351–358. 1 indexed citations
3.
Morais, J. P. S., et al.. (2020). A method to improve cotton fiber length measurement for laboratory analysis. MethodsX. 7. 100859–100859. 4 indexed citations
4.
Bechere, Efrem, D. L. Auld, C. Wayne Smith, et al.. (2020). Registration of six upland cotton germplasm lines with improved fiber quality through ethyl methane sulfonate treatments and selection. Journal of Plant Registrations. 14(2). 159–164. 1 indexed citations
5.
Mishra, Deepika, Efrem Bechere, C. Wayne Smith, et al.. (2019). Cotton (Gossypium hirsutum L.) mutants with reduced levels of palmitic acid (C16:0) in seed lipids. Euphytica. 215(6). 7 indexed citations
6.
Knutson, Allen, et al.. (2014). Resistance to Cotton Fleahopper Feeding in Primitive and Converted Race Stocks of Cotton, Gossypium hirsutum. ˜The œjournal of cotton science/Journal of cotton science. 18(3). 385–392. 6 indexed citations
7.
Meredith, W. R., Deborah L. Boykin, Fred M. Bourland, et al.. (2012). Genotype × environment interactions over seven years for yield, yield components, fiber quality, and gossypol traits in the regional high quality tests.. ˜The œjournal of cotton science/Journal of cotton science. 16(3). 160–169. 23 indexed citations
8.
Hague, Steve, et al.. (2011). Variation in an Extra-Long Staple Upland X Medium Staple Upland Cotton F2 Population. ˜The œjournal of cotton science/Journal of cotton science. 3 indexed citations
9.
Shen, Xinlian, Zhibin Cao, Edward L. Lubbers, et al.. (2011). Efficacy of qFL‐chr1, a Quantitative Trait Locus for Fiber Length in Cotton (Gossypium spp.). Crop Science. 51(5). 2005–2010. 15 indexed citations
10.
Smith, C. Wayne, et al.. (2010). Fiber properties and mini-spun yarn performance of extra long staple upland cotton.. ˜The œjournal of cotton science/Journal of cotton science. 14(2). 82–90. 12 indexed citations
11.
Yu, Jing, R. J. Kohel, & C. Wayne Smith. (2010). The construction of a tetraploid cotton genome wide comprehensive reference map. Genomics. 95(4). 230–240. 28 indexed citations
12.
Smith, C. Wayne, Steve Hague, Eric Héquet, & Don C. Jones. (2010). TAM 04 O‐16L Long‐Staple Upland Cotton with Improved Strength. Journal of Plant Registrations. 5(1). 109–112. 1 indexed citations
13.
Starr, J. L., et al.. (2010). Inheritance of Resistance to Meloidoygne incognita in Primitive Cotton Accessions from Mexico.. PubMed. 42(4). 352–8. 8 indexed citations
14.
Auld, D. L., Efrem Bechere, Robert Wright, et al.. (2007). Use of chemical mutagenesis in improving upland cotton.. 3 indexed citations
15.
Başal, Hüseyin, John K. Hemphill, & C. Wayne Smith. (2005). Shoot and Root Characteristics of Converted Race Stocks Accessions of upland Cotton (Gossypium hirsutum L.) Grown under Salt Stress Conditions. American Journal of Plant Physiology. 1(1). 99–106. 13 indexed citations
16.
Mei, Mengjun, Naeem H. Syed, Wenxiang Gao, et al.. (2003). Genetic mapping and QTL analysis of fiber-related traits in cotton (Gossypium). Theoretical and Applied Genetics. 108(2). 280–291. 207 indexed citations
17.
Smith, C. Wayne, R. A. Frederiksen, & W. C. Smith. (2000). Sorghum: origin, history, technology and production.. 470 indexed citations breakdown →
18.
Smith, C. Wayne & J. Tom Cothren. (1999). Rice: origin, history, technology and production.. John Wiley & Sons eBooks. 591 indexed citations breakdown →
19.
Smith, C. Wayne, et al.. (1996). Abaxial surface and emulsified leaf pH of cotton, Gossypium spp. Southwestern Entomologist. 21(4). 369–376. 2 indexed citations
20.
Smith, C. Wayne, et al.. (1986). Yield and Fiber Quality of Cotton Following Applicatioin of 2‐Chloroethyl Phosphonic Acid1. Agronomy Journal. 78(5). 814–818. 9 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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