Jeff Gore

649 total citations
28 papers, 497 citations indexed

About

Jeff Gore is a scholar working on Insect Science, Plant Science and Molecular Biology. According to data from OpenAlex, Jeff Gore has authored 28 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Insect Science, 14 papers in Plant Science and 11 papers in Molecular Biology. Recurrent topics in Jeff Gore's work include Insect and Pesticide Research (14 papers), Insect-Plant Interactions and Control (11 papers) and Insect Resistance and Genetics (11 papers). Jeff Gore is often cited by papers focused on Insect and Pesticide Research (14 papers), Insect-Plant Interactions and Control (11 papers) and Insect Resistance and Genetics (11 papers). Jeff Gore collaborates with scholars based in United States, Brazil and Mexico. Jeff Gore's co-authors include Angus L. Catchot, D. R. Cook, R. G. Luttrell, John J. Adamczyk, G. M. Lorenz, Fred R. Musser, Scott Stewart, Jonathan L. Barber, Jianxiu Yao and Donald R. Johnson and has published in prestigious journals such as Environmental Science & Technology, Journal of Applied Ecology and Agronomy Journal.

In The Last Decade

Jeff Gore

28 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Gore United States 11 380 204 193 164 136 28 497
Michele Potrich Brazil 12 357 0.9× 136 0.7× 225 1.2× 98 0.6× 97 0.7× 63 457
César Freire Carvalho Brazil 14 442 1.2× 167 0.8× 231 1.2× 151 0.9× 70 0.5× 72 523
B. R. Leonard United States 16 514 1.4× 188 0.9× 373 1.9× 331 2.0× 59 0.4× 56 699
A. F. Bueno Brazil 14 547 1.4× 141 0.7× 369 1.9× 282 1.7× 37 0.3× 26 656
Eileen Cullen United States 13 357 0.9× 139 0.7× 262 1.4× 112 0.7× 33 0.2× 22 485
Francisco de Sousa Ramalho Brazil 12 326 0.9× 167 0.8× 177 0.9× 131 0.8× 45 0.3× 30 392
Maria Alice de Medeiros Brazil 13 305 0.8× 95 0.5× 247 1.3× 114 0.7× 25 0.2× 23 381
Rebecca A Schmidt‐Jeffris United States 14 516 1.4× 153 0.8× 277 1.4× 143 0.9× 26 0.2× 45 613
Huai Liu China 12 280 0.7× 90 0.4× 182 0.9× 112 0.7× 58 0.4× 63 424
Jander Fagundes Rosado Brazil 14 468 1.2× 76 0.4× 354 1.8× 197 1.2× 46 0.3× 20 531

Countries citing papers authored by Jeff Gore

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Gore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Gore

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Gore. A scholar is included among the top collaborators of Jeff Gore 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 Jeff Gore. Jeff Gore 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.
Dodds, Darrin M., L. Jason Krutz, Jeff Gore, et al.. (2024). Cotton cultivar response to potassium fertilizer under irrigated and dryland conditions. Agronomy Journal. 116(3). 1528–1539. 2 indexed citations
2.
Catchot, Angus L., Jeff Gore, D. R. Cook, et al.. (2023). Evaluating Efficacy and Chemical Concentrations of Commonly Used Insecticides Targeting Tarnished Plant Bug in Mid-South Cotton. ˜The œjournal of cotton science/Journal of cotton science. 23(2). 74–80. 2 indexed citations
3.
Dodds, Darrin M., L. Jason Krutz, Jac J. Varco, et al.. (2022). Effect of potassium application rate on cotton growth and yield under irrigated and dryland conditions. Agronomy Journal. 115(1). 395–407. 7 indexed citations
4.
Catchot, Angus L., Jeff Gore, Scott Stewart, et al.. (2021). Temporal Profile of Neonicotinoid Concentrations in Cotton, Corn, and Soybean Resulting from Insecticidal Seed Treatments. Agronomy. 11(6). 1200–1200. 3 indexed citations
5.
Reisig, Dominic, D. R. Cook, Jeremy K. Greene, et al.. (2020). Location of Helicoverpa zea (Lepidoptera: Noctuidae) larvae on different plant parts of determinate and indeterminate soybean. Bulletin of Entomological Research. 110(6). 725–731. 6 indexed citations
6.
Reisig, Dominic, D. R. Cook, Jeremy K. Greene, et al.. (2020). Vertical and temporal distribution of Helicoverpa zea (Lepidoptera: Noctuidae) larvae in determinate and indeterminate soybean. Bulletin of Entomological Research. 111(3). 282–288. 5 indexed citations
7.
8.
Krutz, L. Jason, et al.. (2020). Alternate wetting and drying reduces aquifer withdrawal in Mississippi rice production systems. Agronomy Journal. 112(6). 5115–5124. 11 indexed citations
9.
10.
Golden, Bobby R., et al.. (2020). Rice cultivar response to sublethal concentrations of glyphosate and paraquat late in the season. Weed Technology. 35(2). 251–257. 1 indexed citations
11.
Caprio, Michael A., Ryan Kurtz, Angus L. Catchot, et al.. (2019). The Corn–Cotton Agroecosystem in the Mid-Southern United States: What Insecticidal Event Pyramids Should be Used in Each Crop to Extend Vip3A Durability. Journal of Economic Entomology. 112(6). 2894–2906. 15 indexed citations
12.
Zhu, Yu Cheng, John J. Adamczyk, Thomas E. Rinderer, et al.. (2015). Spray Toxicity and Risk Potential of 42 Commonly Used Formulations of Row Crop Pesticides to Adult Honey Bees (Hymenoptera: Apidae). Journal of Economic Entomology. 108(6). 2640–2647. 88 indexed citations
13.
Jackson, R. E., K. Clint Allen, G. L. Snodgrass, et al.. (2014). Influence of Maize and Pigweed on Tarnished Plant Bug (Hemiptera: Miridae) Populations Infesting Cotton. Southwestern Entomologist. 39(3). 391–391. 7 indexed citations
14.
Stewart, Scott, G. M. Lorenz, Angus L. Catchot, et al.. (2014). Potential Exposure of Pollinators to Neonicotinoid Insecticides from the Use of Insecticide Seed Treatments in the Mid-Southern United States. Environmental Science & Technology. 48(16). 9762–9769. 132 indexed citations
15.
Stewart, Scott, J. S. Bacheler, Angus L. Catchot, et al.. (2013). ARTHROPOD MANAGEMENT & APPLIED ECOLOGY Survey of Thrips Species Infesting Cotton Across the Southern U.S. Cotton Belt. Civil War Book Review. 5 indexed citations
16.
Snodgrass, G. L., Jeff Gore, Craig A. Abel, & Ryan Jackson. (2008). Predicting Field Control of Tarnished Plant Bug (Hemiptera: Miridae) Populations with Pyrethroid Insecticides by Use of Glass-Vial Bioassays. Southwestern Entomologist. 33(3). 181–189. 16 indexed citations
17.
Blanco, Carlos A., Omaththage P. Perera, Debbie Boykin, et al.. (2007). Monitoring Bacillus thuringiensis-susceptibility in insect pests that occur in large geographies: How to get the best information when two countries are involved. Journal of Invertebrate Pathology. 95(3). 201–207. 6 indexed citations
18.
Blanco, Carlos A., L. C. Adams, Jeff Gore, et al.. (2004). BACILLUS THURINGIENSIS CRY1AC RESISTANCE MONITORING PROGRAM FOR TOBACCO BUDWORM AND BOLLWORM IN 2004. 8 indexed citations
19.
Gore, Jeff, et al.. (1999). バルバドス及びグレナダでCapsicum chinenseに多発し圃場でピーマン及びトマトに弱い病原性を有し,トウガラシ斑点細菌病抵抗性遺伝子Bs2をり病化させるXanthomonas campestris pv.vesicatoriaのレース. Plant Pathology. 48(5). 588–594. 1 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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