Guy D. Collins

935 total citations
49 papers, 690 citations indexed

About

Guy D. Collins is a scholar working on Plant Science, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Guy D. Collins has authored 49 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 12 papers in Molecular Biology and 11 papers in Global and Planetary Change. Recurrent topics in Guy D. Collins's work include Research in Cotton Cultivation (25 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Weed Control and Herbicide Applications (7 papers). Guy D. Collins is often cited by papers focused on Research in Cotton Cultivation (25 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Weed Control and Herbicide Applications (7 papers). Guy D. Collins collaborates with scholars based in United States, Netherlands and Israel. Guy D. Collins's co-authors include John L. Snider, Jared R. Whitaker, Daryl R. Chastain, Calvin D. Perry, Seth A. Byrd, Kent D. Chapman, Patrick J. Horn, Timothy L. Grey, Keith L. Edmisten and Randy Wells and has published in prestigious journals such as Field Crops Research, Crop Science and Agronomy Journal.

In The Last Decade

Guy D. Collins

42 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy D. Collins United States 14 602 161 146 130 92 49 690
Daryl R. Chastain United States 13 589 1.0× 161 1.0× 174 1.2× 102 0.8× 66 0.7× 32 658
M. Vanaja India 16 589 1.0× 82 0.5× 75 0.5× 108 0.8× 105 1.1× 85 724
Henning Wildhagen Germany 15 625 1.0× 69 0.4× 165 1.1× 209 1.6× 120 1.3× 23 831
Hesheng Yao China 11 503 0.8× 104 0.6× 105 0.7× 105 0.8× 217 2.4× 13 580
Anirban Guha India 16 460 0.8× 38 0.2× 176 1.2× 97 0.7× 39 0.4× 27 576
Catharina Meinen Germany 11 256 0.4× 197 1.2× 115 0.8× 23 0.2× 118 1.3× 16 533
Dan TerAvest United States 6 288 0.5× 108 0.7× 40 0.3× 90 0.7× 70 0.8× 7 451
Miren K. Duñabeitia Spain 14 364 0.6× 115 0.7× 68 0.5× 38 0.3× 36 0.4× 24 508
R.T. Cruz Philippines 11 735 1.2× 139 0.9× 147 1.0× 78 0.6× 118 1.3× 18 830
R. S. Beniwal India 5 322 0.5× 51 0.3× 240 1.6× 59 0.5× 24 0.3× 12 541

Countries citing papers authored by Guy D. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Guy D. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy D. Collins. 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 Guy D. Collins. The network helps show where Guy D. Collins may publish in the future.

Co-authorship network of co-authors of Guy D. Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Guy D. Collins. A scholar is included among the top collaborators of Guy D. Collins 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 Guy D. Collins. Guy D. Collins 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.
2.
Collins, Guy D., et al.. (2025). Optimizing pyroxasulfone-coated fertilizer in cotton. Weed Technology. 39. 1 indexed citations
3.
Parkash, Ved, et al.. (2023). Effects of cultivar and nitrogen application rate on lint, seed, oil, and protein yields of field‐grown cotton. Crop Science. 63(3). 1541–1554. 5 indexed citations
4.
Edmisten, Keith L., et al.. (2023). Effects of Potassium Rates and Timing on Cotton Yield and Fiber Quality. ˜The œjournal of cotton science/Journal of cotton science. 27(3). 110–119. 1 indexed citations
5.
Everman, Wesley J., et al.. (2022). HPPD-resistant cotton response to isoxaflutole applied preemergence and postemergence. Weed Technology. 36(2). 238–244. 4 indexed citations
6.
Reich, Brian J., George G. Kennedy, Dominic Reisig, et al.. (2021). Landscape‐level variation in Bt crops predict Helicoverpa zea (Lepidoptera: Noctuidae) resistance in cotton agroecosystems. Pest Management Science. 77(12). 5454–5462. 13 indexed citations
7.
Edmisten, Keith L., Randy Wells, Guy D. Collins, et al.. (2016). Influence of Nitrogen and Mepiquat Chloride on Cotton Canopy Reflectance Measurements. ˜The œjournal of cotton science/Journal of cotton science. 20(1). 1–7. 4 indexed citations
8.
Byrd, Seth A., Guy D. Collins, Keith L. Edmisten, et al.. (2016). Leaf Pubescence and Defoliation Strategy Influence on Cotton Defoliation and Fiber Quality. ˜The œjournal of cotton science/Journal of cotton science. 20(4). 280–293. 8 indexed citations
9.
Chastain, Daryl R., John L. Snider, John S. Choinski, et al.. (2016). Leaf ontogeny strongly influences photosynthetic tolerance to drought and high temperature in Gossypium hirsutum. Journal of Plant Physiology. 199. 18–28. 52 indexed citations
10.
Byrd, Seth A., Guy D. Collins, A. Stanley Culpepper, et al.. (2016). Cotton Stage of Growth Determines Sensitivity to 2,4-D. Weed Technology. 30(3). 601–610. 18 indexed citations
11.
Webster, Peter J., et al.. (2015). Using Precipitation Forecasts to Irrigate Cotton. ˜The œjournal of cotton science/Journal of cotton science. 19(3). 351–358. 2 indexed citations
12.
Snider, John L., Daryl R. Chastain, Guy D. Collins, et al.. (2015). Predawn respiration rates during flowering are highly predictive of yield response in Gossypium hirsutum when yield variability is water-induced. Journal of Plant Physiology. 183. 114–120. 12 indexed citations
13.
Snider, John L., Daryl R. Chastain, Guy D. Collins, Timothy L. Grey, & Ronald B. Sorensen. (2015). Do genotypic differences in thermotolerance plasticity correspond with water-induced differences in yield and photosynthetic stability for field-grown upland cotton?. Environmental and Experimental Botany. 118. 49–55. 9 indexed citations
14.
15.
Snider, John L., Guy D. Collins, Jared R. Whitaker, et al.. (2014). Seed Size and Oil Content Are Key Determinants of Seedling Vigor in Gossypium hirsutum. ˜The œjournal of cotton science/Journal of cotton science. 18(1). 1–9. 60 indexed citations
16.
Whitehead, Bill, et al.. (2013). Using more healthcare areas for placements.. PubMed. 109(25). 18–21. 2 indexed citations
17.
Snider, John L., et al.. (2012). Field-acclimated Gossypium hirsutum cultivars exhibit genotypic and seasonal differences in photosystem II thermostability. Journal of Plant Physiology. 170(5). 489–496. 26 indexed citations
18.
Ritchie, Glen L., Jared R. Whitaker, & Guy D. Collins. (2011). Effect of sample size on cotton plant mapping analysis and results.. ˜The œjournal of cotton science/Journal of cotton science. 15(3). 224–232. 12 indexed citations
19.
Collins, Guy D., et al.. (2007). Defining optimal defoliation timing and harvest timing for compact, normal, and extended fruiting patterns of cotton (Gossypium hirsutum L.) achieved by cultivar maturity groups.. 3 indexed citations
20.

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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