David J. Schuster

4.0k total citations
173 papers, 2.9k citations indexed

About

David J. Schuster is a scholar working on Insect Science, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David J. Schuster has authored 173 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Insect Science, 124 papers in Plant Science and 31 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David J. Schuster's work include Insect-Plant Interactions and Control (119 papers), Insect Pest Control Strategies (47 papers) and Plant Virus Research Studies (39 papers). David J. Schuster is often cited by papers focused on Insect-Plant Interactions and Control (119 papers), Insect Pest Control Strategies (47 papers) and Plant Virus Research Studies (39 papers). David J. Schuster collaborates with scholars based in United States, Sweden and Thailand. David J. Schuster's co-authors include J.W. Scott, James B. Kring, Yuanfu Ji, Philip A. Stansly, Jane E. Polston, A. A. Csizinszky, James F. Price, Heather J. McAuslane, K. J. Starks and David G. Riley and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

David J. Schuster

165 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Schuster United States 31 2.2k 2.1k 399 374 167 173 2.9k
C. Michael Smith United States 27 2.5k 1.1× 2.2k 1.1× 431 1.1× 979 2.6× 101 0.6× 117 3.2k
Clare L. Casteel United States 25 2.0k 0.9× 1.1k 0.5× 300 0.8× 414 1.1× 106 0.6× 60 2.4k
Brian A. Nault United States 33 2.3k 1.0× 2.2k 1.1× 655 1.6× 762 2.0× 129 0.8× 163 3.1k
Edward B. Radcliffe United States 23 1.4k 0.6× 1.2k 0.6× 283 0.7× 274 0.7× 114 0.7× 87 1.7k
Bonnie H. Ownley United States 23 1.9k 0.9× 1.4k 0.7× 348 0.9× 663 1.8× 131 0.8× 76 2.7k
Glen Powell United Kingdom 27 2.0k 0.9× 1.9k 0.9× 537 1.3× 343 0.9× 82 0.5× 51 2.5k
Lance S. Osborne United States 30 1.7k 0.8× 2.3k 1.1× 619 1.6× 517 1.4× 176 1.1× 157 2.6k
Nick C. Toscano United States 29 1.7k 0.7× 2.1k 1.0× 508 1.3× 532 1.4× 108 0.6× 113 2.5k
Gary J. Puterka United States 32 2.4k 1.1× 2.1k 1.0× 507 1.3× 758 2.0× 294 1.8× 98 3.4k
Ming‐Shun Chen United States 27 1.6k 0.7× 1.3k 0.6× 391 1.0× 1.0k 2.8× 173 1.0× 109 2.5k

Countries citing papers authored by David J. Schuster

Since Specialization
Citations

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

Fields of papers citing papers by David J. Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Schuster. 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 David J. Schuster. The network helps show where David J. Schuster may publish in the future.

Co-authorship network of co-authors of David J. Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Schuster. A scholar is included among the top collaborators of David J. Schuster 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 David J. Schuster. David J. Schuster 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.
Hutton, Samuel F., J.W. Scott, & David J. Schuster. (2012). Recessive Resistance to Tomato yellow leaf curl virus from the Tomato Cultivar Tyking Is Located in the Same Region as Ty-5 on Chromosome 4. HortScience. 47(3). 324–327. 77 indexed citations
2.
Scott, J.W., et al.. (2010). Identification of Quantitative Trait Loci Conferring Resistance to Bemisia tabaci in an F2 Population of Solanum lycopersicum × Solanum habrochaites Accession LA1777. Journal of the American Society for Horticultural Science. 135(2). 134–142. 30 indexed citations
3.
Ji, Yuanfu, J.W. Scott, David J. Schuster, & D. P. Maxwell. (2009). Molecular Mapping of Ty-4, a New Tomato Yellow Leaf Curl Virus Resistance Locus on Chromosome 3 of Tomato. Journal of the American Society for Horticultural Science. 134(2). 281–288. 124 indexed citations
4.
Schuster, David J., et al.. (2009). Laboratory Evaluation of Products to Reduce Settling of Sweetpotato Whitefly Adults. Journal of Economic Entomology. 102(4). 1482–1489. 19 indexed citations
5.
Ji, Yuanfu, John W. Scott, & David J. Schuster. (2009). Toward Fine Mapping of the Tomato Yellow Leaf Curl Virus Resistance Gene Ty-2 on Chromosome 11 of Tomato. HortScience. 44(3). 614–618. 50 indexed citations
6.
7.
Zhang, Wei, Heather J. McAuslane, & David J. Schuster. (2004). Repellency of Ginger Oil to Bemisia argentifolii (Homoptera: Aleyrodidae) on Tomato. Journal of Economic Entomology. 97(4). 1310–1318. 73 indexed citations
8.
Seal, Dakshina R., Philip A. Stansly, & David J. Schuster. (2002). Influence of Temperature and Host on Life History Parameters ofCatolaccus Hunteri(Hymenoptera: Pteromalidae). Environmental Entomology. 31(2). 354–360. 18 indexed citations
9.
10.
Schuster, David J.. (2001). Relationship of Silverleaf Whitefly Population Density to Severity of Irregular Ripening of Tomato. HortScience. 36(6). 1089–1090. 24 indexed citations
11.
Csizinszky, A. A., David J. Schuster, & Jane E. Polston. (1999). Effect of Ultraviolet-reflective Mulches on Tomato Yields and on the Silverleaf Whitefly. HortScience. 34(5). 911–914. 27 indexed citations
12.
Csizinszky, A. A., David J. Schuster, & James B. Kring. (1995). Color Mulches Influence Yield and Insect Pest Populations in Tomatoes. Journal of the American Society for Horticultural Science. 120(5). 778–784. 88 indexed citations
13.
Riley, David G. & David J. Schuster. (1994). Pepper weevil adult response to colored sticky traps in pepper fields.. Southwestern Entomologist. 19(2). 93–107. 22 indexed citations
14.
Csizinszky, A. A. & David J. Schuster. (1993). Impact of Insecticide Schedule, N and K Rates, and Transplant Container Size on Cabbage Yield. HortScience. 28(4). 299–302. 11 indexed citations
15.
Kring, James B., et al.. (1991). Sweetpotato whitefly-vectored geminivirus on tomato in Florida.. Plant Disease. 75(11). 21 indexed citations
16.
Schuster, David J., James B. Kring, & James F. Price. (1991). Association of the Sweetpotato Whitefly with a Silverleaf Disorder of Squash. HortScience. 26(2). 155–156. 53 indexed citations
17.
Schuster, David J., et al.. (1990). Relationship of the Sweetpotato Whitefly to a New Tomato Fruit Disorder in Florida. HortScience. 25(12). 1618–1620. 90 indexed citations
18.
Schuster, David J., et al.. (1983). Insect Control on Tomatoes in Southwest Florida, Spring 1982. Insecticide and Acaricide Tests. 8(1). 149–149. 1 indexed citations
19.
Schuster, David J. & Brent K. Harbaugh. (1979). Chrysanthemum Cultivars Differ in Foliar Leafminer Damage1. HortScience. 14(3). 271–272. 4 indexed citations
20.
Schuster, David J. & Brent K. Harbaugh. (1979). Factors Affecting Evaluation of Foliar Damage of Chrysanthemum Cultivars by a Leafminer1. HortScience. 14(3). 273–274. 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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