Kurt Lindbeck

710 total citations
26 papers, 466 citations indexed

About

Kurt Lindbeck is a scholar working on Plant Science, Cell Biology and Agronomy and Crop Science. According to data from OpenAlex, Kurt Lindbeck has authored 26 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 7 papers in Cell Biology and 5 papers in Agronomy and Crop Science. Recurrent topics in Kurt Lindbeck's work include Plant-Microbe Interactions and Immunity (10 papers), Plant Disease Resistance and Genetics (10 papers) and Plant pathogens and resistance mechanisms (9 papers). Kurt Lindbeck is often cited by papers focused on Plant-Microbe Interactions and Immunity (10 papers), Plant Disease Resistance and Genetics (10 papers) and Plant pathogens and resistance mechanisms (9 papers). Kurt Lindbeck collaborates with scholars based in Australia, Hungary and United Kingdom. Kurt Lindbeck's co-authors include S. J. Marcroft, Sandra Savocchia, Gavin Ash, A. H. Ware, Angela P. Van de Wouw, Ravjit Khangura, Neil Coombes, Rosy Raman, Barbara J. Howlett and Harsh Raman and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and Field Crops Research.

In The Last Decade

Kurt Lindbeck

25 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kurt Lindbeck Australia 13 437 124 108 52 31 26 466
G. Kong Australia 9 282 0.6× 59 0.5× 104 1.0× 53 1.0× 22 0.7× 19 323
Luis E. del Río Mendoza United States 11 296 0.7× 77 0.6× 48 0.4× 43 0.8× 37 1.2× 38 310
Markus Herz Germany 11 367 0.8× 63 0.5× 123 1.1× 16 0.3× 21 0.7× 17 395
K. Xi Canada 15 494 1.1× 158 1.3× 111 1.0× 44 0.8× 84 2.7× 42 521
Seetha Kannan India 7 261 0.6× 67 0.5× 83 0.8× 31 0.6× 10 0.3× 9 326
F. Virányi Hungary 11 390 0.9× 73 0.6× 130 1.2× 26 0.5× 22 0.7× 35 412
Aziz Karakaya Türkiye 10 475 1.1× 257 2.1× 109 1.0× 48 0.9× 16 0.5× 85 503
Suraj Gurung United States 18 849 1.9× 289 2.3× 105 1.0× 19 0.4× 27 0.9× 30 868
Blair J. Goates United States 13 405 0.9× 111 0.9× 90 0.8× 23 0.4× 27 0.9× 29 438
Uwe Mohr Switzerland 7 311 0.7× 86 0.7× 84 0.8× 99 1.9× 21 0.7× 10 352

Countries citing papers authored by Kurt Lindbeck

Since Specialization
Citations

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

Fields of papers citing papers by Kurt Lindbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kurt Lindbeck

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt Lindbeck. A scholar is included among the top collaborators of Kurt Lindbeck 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 Kurt Lindbeck. Kurt Lindbeck 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.
Derbyshire, Mark C., Toby E. Newman, Sarita Jane Bennett, et al.. (2025). Recombination and transposition drive genomic structural variation potentially impacting life history traits in a host-generalist fungal plant pathogen. BMC Biology. 23(1). 110–110.
2.
3.
Tan, Yu Pei, et al.. (2018). Diaporthe novem isolated from sunflower (Helianthus annuus) and other crop and weed hosts in Australia. European Journal of Plant Pathology. 152(3). 823–831. 12 indexed citations
4.
Sprague, S. J., S. J. Marcroft, Kurt Lindbeck, et al.. (2017). Detection, prevalence and severity of upper canopy infection on mature Brassica napus plants caused by Leptosphaeria maculans in Australia. Crop and Pasture Science. 69(1). 65–78. 18 indexed citations
5.
Raman, Harsh, Rosy Raman, Neil Coombes, et al.. (2016). Genome-wide Association Study Identifies New Loci for Resistance to Leptosphaeria maculans in Canola. Frontiers in Plant Science. 7. 1513–1513. 43 indexed citations
6.
Savocchia, Sandra, et al.. (2016). Rapid marker-assisted selection of antifungal Bacillus species from the canola rhizosphere. Plant Gene. 11. 23–30. 2 indexed citations
7.
Rodda, Matthew S., et al.. (2015). A high-throughput glasshouse based screening method to evaluate bacterial blight resistance in field pea (Pisum sativum). Australasian Plant Pathology. 44(5). 515–526. 5 indexed citations
8.
Lindbeck, Kurt, et al.. (2015). Biological control of sclerotinia stem rot of canola using antagonistic bacteria. Plant Pathology. 64(6). 1375–1384. 40 indexed citations
9.
Kamal, Mounir M., Kurt Lindbeck, Sandra Savocchia, & Gavin Ash. (2015). Bacterial biocontrol of diseases caused bySclerotiniain Australia. Acta Horticulturae. 123–130. 1 indexed citations
10.
Wouw, Angela P. Van de, et al.. (2015). Infection of canola pods by Leptosphaeria maculans and subsequent seed contamination. European Journal of Plant Pathology. 145(3). 687–695. 12 indexed citations
11.
Wouw, Angela P. Van de, S. J. Marcroft, A. H. Ware, et al.. (2014). Breakdown of resistance to the fungal disease, blackleg, is averted in commercial canola (Brassica napus) crops in Australia. Field Crops Research. 166. 144–151. 59 indexed citations
12.
Raman, Rosy, S. J. Marcroft, Jiri Stiller, et al.. (2012). Molecular mapping of qualitative and quantitative loci for resistance to Leptosphaeria maculans causing blackleg disease in canola (Brassica napus L.). Theoretical and Applied Genetics. 125(2). 405–418. 72 indexed citations
13.
Raman, Rosy, et al.. (2012). Molecular mapping and validation of Rlm1 gene for resistance to Leptosphaeria maculans in canola (Brassica napus L.). Crop and Pasture Science. 63(10). 1007–1017. 26 indexed citations
14.
Hawthorne, Wayne J., et al.. (2012). Chickpea Disease Management Strategy. 1 indexed citations
15.
Salam, Moin U., J.A. Davidson, Geoff Thomas, et al.. (2011). Advances in winter pulse pathology research in Australia. Australasian Plant Pathology. 40(6). 549–567. 22 indexed citations
16.
Salam, Moin U., William J. MacLeod, Mark Seymour, et al.. (2011). G2 Blackspot Manager model to guide field pea sowing for southern Australia in relation to ascochyta blight disease. Australasian Plant Pathology. 40(6). 632–639. 11 indexed citations
17.
Lindbeck, Kurt, et al.. (2008). Field screening in Australia of lentil germplasm for resistance to botrytis grey mould. Australasian Plant Pathology. 37(4). 373–373. 8 indexed citations
18.
Simpfendorfer, S., DP Heenan, John A. Kirkegaard, Kurt Lindbeck, & G. M. Murray. (2004). Impact of tillage on lupin growth and the incidence of pathogenic fungi in southern New South Wales. Australian Journal of Experimental Agriculture. 44(1). 53–56. 13 indexed citations
19.
MacLeod, William J., et al.. (2004). Formation of Didymella lentis, the teleomorph of Ascochyta lentis, on lentil stubble in the field in Victoria and Western Australia. Australasian Plant Pathology. 33(3). 449–449. 10 indexed citations
20.
Lindbeck, Kurt, et al.. (2001). First report of Phytophthora sp. causing a root and basal stem rot of narrowleaf lupin in Australia. Plant Pathology. 50(6). 811–811. 2 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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