D. J. Thackray

777 total citations
17 papers, 594 citations indexed

About

D. J. Thackray is a scholar working on Plant Science, Insect Science and Agronomy and Crop Science. According to data from OpenAlex, D. J. Thackray has authored 17 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 10 papers in Insect Science and 4 papers in Agronomy and Crop Science. Recurrent topics in D. J. Thackray's work include Plant Virus Research Studies (10 papers), Insect-Plant Interactions and Control (10 papers) and Agricultural pest management studies (5 papers). D. J. Thackray is often cited by papers focused on Plant Virus Research Studies (10 papers), Insect-Plant Interactions and Control (10 papers) and Agricultural pest management studies (5 papers). D. J. Thackray collaborates with scholars based in Australia, Ireland and Canada. D. J. Thackray's co-authors include Richard A. Jones, Art Diggle, Phil Edwards, Hermann M. Niemeyer, Owain R. Edwards, Maling Tj, L. J. Latham, Moin U. Salam, B. A. Coutts and Kadambot H. M. Siddique and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annual Review of Phytopathology and Phytopathology.

In The Last Decade

D. J. Thackray

17 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. Thackray Australia 12 525 317 72 52 45 17 594
Joseph E. Funderburk United States 11 383 0.7× 348 1.1× 91 1.3× 54 1.0× 41 0.9× 24 476
Edgar Schliephake Germany 13 322 0.6× 130 0.4× 69 1.0× 29 0.6× 39 0.9× 39 376
Quentin Chesnais France 13 458 0.9× 400 1.3× 53 0.7× 26 0.5× 13 0.3× 33 528
Johnson O. Nyasani Kenya 11 403 0.8× 221 0.7× 58 0.8× 45 0.9× 48 1.1× 19 491
J. Plate United States 9 302 0.6× 283 0.9× 26 0.4× 35 0.7× 42 0.9× 9 353
John Diaz‐Montano United States 14 507 1.0× 450 1.4× 117 1.6× 16 0.3× 46 1.0× 20 615
Alexandra Schoeny France 15 497 0.9× 112 0.4× 38 0.5× 35 0.7× 116 2.6× 24 534
Julianne Stavisky United States 12 574 1.1× 546 1.7× 159 2.2× 32 0.6× 78 1.7× 14 689
Peter Sseruwagi Tanzania 13 572 1.1× 463 1.5× 43 0.6× 15 0.3× 30 0.7× 21 669
Ramona J. Beshear United States 13 335 0.6× 336 1.1× 121 1.7× 23 0.4× 69 1.5× 31 432

Countries citing papers authored by D. J. Thackray

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Thackray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Thackray

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Thackray. A scholar is included among the top collaborators of D. J. Thackray 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 D. J. Thackray. D. J. Thackray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Newman, Kate, et al.. (2021). Remote medico-legal assessment by telephone during COVID-19: Monitoring safety and quality when documenting evidence of torture for UK asylum applicants. SHILAP Revista de lepidopterología. 31(1). 37–52. 2 indexed citations
2.
Tj, Maling, Art Diggle, D. J. Thackray, Kadambot H. M. Siddique, & Richard A. Jones. (2010). An epidemiological model for externally acquired vector-borne viruses applied to Beet western yellows virus in Brassica napus crops in a Mediterranean-type environment. Crop and Pasture Science. 61(2). 132–144. 14 indexed citations
3.
Jones, Richard A., et al.. (2010). Principles of Predicting Plant Virus Disease Epidemics. Annual Review of Phytopathology. 48(1). 179–203. 50 indexed citations
4.
Tj, Maling, Art Diggle, D. J. Thackray, Kadambot H. M. Siddique, & Richard A. Jones. (2008). An Epidemiological Model for Externally Sourced Vector-Borne Viruses Applied to Bean yellow mosaic virus in Lupin Crops in a Mediterranean-Type Environment. Phytopathology. 98(12). 1280–1290. 22 indexed citations
5.
Thackray, D. J., Art Diggle, & Richard A. Jones. (2008). BYDV PREDICTOR: a simulation model to predict aphid arrival, epidemics of Barley yellow dwarf virus and yield losses in wheat crops in a Mediterranean‐type environment. Plant Pathology. 58(1). 186–202. 73 indexed citations
6.
Edwards, Owain R., et al.. (2008). Insecticide resistance and implications for future aphid management in Australian grains and pastures: a review. Australian Journal of Experimental Agriculture. 48(12). 1523–1523. 84 indexed citations
7.
Thackray, D. J., et al.. (2005). Role of winter-active aphids spreading Barley yellow dwarf virus in decreasing wheat yields in a Mediterranean-type environment. Australian Journal of Agricultural Research. 56(10). 1089–1099. 32 indexed citations
8.
Thackray, D. J., et al.. (2004). Forecasting aphid outbreaks and epidemics of Cucumber mosaic virus in lupin crops in a Mediterranean-type environment. Virus Research. 100(1). 67–82. 54 indexed citations
9.
Thackray, D. J., et al.. (2002). Effect of strain‐specific hypersensitive resistance on spatial patterns of virus spread. Annals of Applied Biology. 141(1). 45–59. 30 indexed citations
10.
Jones, Richard A., et al.. (2002). Deploying strain specific hypersensitive resistance to diminish temporal virus spread. Annals of Applied Biology. 140(1). 69–79. 31 indexed citations
12.
Thackray, D. J., T. J. Ridsdill‐Smith, & D. J. Gillespie. (1997). Susceptibility of grain legume species to redlegged earth mite (Halotydeus destructor Tucker) damage at the seedling stage.. Plant protection quarterly. 12(3). 141–144. 6 indexed citations
13.
Thackray, D. J., et al.. (1997). Determining the relative roles of different aphid species as vectors of cucumber mosaic and bean yellow mosaic viruses in lupins. Annals of Applied Biology. 131(2). 297–314. 53 indexed citations
14.
Thackray, D. J., T. J. Ridsdill‐Smith, & D. J. Gillespie. (1997). Mass rearing Halotydeus destructor (Tucker) (Acari : Penthaleidae) for use in summer screening of Trifolium subterraneum (L.) for mite resistance. Australian Journal of Experimental Agriculture. 37(3). 343–343. 6 indexed citations
15.
Thackray, D. J., et al.. (1990). Resistance to the aphids Sitobion avenae and Rhopalosiphum padi in Gramineae in relation to hydroxamic acid levels. Annals of Applied Biology. 116(3). 573–582. 95 indexed citations
16.
Thackray, D. J., S. D. Wratten, & Phil Edwards. (1990). Hydroxamic acids - potential resistance factors in wheat against the cereal aphids Sitobion avenae and Rhopalosiphum padi.. 215–220. 5 indexed citations
17.
Thackray, D. J.. (1988). The role of hydroxamic acids in resistance of Gramineae to aphids.. 3. 1167–1172. 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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