Stephen E. Strelkov

9.0k total citations
264 papers, 6.6k citations indexed

About

Stephen E. Strelkov is a scholar working on Plant Science, Endocrinology and Cell Biology. According to data from OpenAlex, Stephen E. Strelkov has authored 264 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 257 papers in Plant Science, 49 papers in Endocrinology and 44 papers in Cell Biology. Recurrent topics in Stephen E. Strelkov's work include Plant Disease Resistance and Genetics (193 papers), Plant Pathogens and Resistance (62 papers) and Plant and Fungal Interactions Research (49 papers). Stephen E. Strelkov is often cited by papers focused on Plant Disease Resistance and Genetics (193 papers), Plant Pathogens and Resistance (62 papers) and Plant and Fungal Interactions Research (49 papers). Stephen E. Strelkov collaborates with scholars based in Canada, China and Netherlands. Stephen E. Strelkov's co-authors include Sheau‐Fang Hwang, B. D. Gossen, L. Lamari, Victor P. Manolii, Gary Peng, R. J. Howard, G. D. Turnbull, Jie Feng, Tiesen Cao and K. F. Chang and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Stephen E. Strelkov

258 papers receiving 6.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen E. Strelkov Canada 43 6.3k 1.3k 1.1k 894 346 264 6.6k
Sheau‐Fang Hwang Canada 36 4.4k 0.7× 942 0.7× 613 0.6× 857 1.0× 217 0.6× 228 4.6k
Wangzhen Guo China 45 6.4k 1.0× 1.4k 1.0× 2.0k 1.9× 199 0.2× 92 0.3× 215 6.9k
Mitsuro Hyakumachi Japan 40 4.3k 0.7× 590 0.5× 668 0.6× 1.8k 2.0× 241 0.7× 191 4.7k
Suha Jabaji Canada 33 2.8k 0.5× 355 0.3× 780 0.7× 749 0.8× 362 1.0× 105 3.6k
P. Martínez‐Gómez Spain 37 3.8k 0.6× 640 0.5× 1.9k 1.8× 336 0.4× 397 1.1× 264 4.5k
David M. Stelly United States 41 5.5k 0.9× 977 0.8× 1.7k 1.6× 138 0.2× 371 1.1× 187 6.0k
Lisa A. Castlebury United States 39 4.4k 0.7× 251 0.2× 2.0k 1.9× 4.0k 4.5× 741 2.1× 148 5.4k
Maria Manzanares–Dauleux France 30 2.4k 0.4× 268 0.2× 768 0.7× 125 0.1× 94 0.3× 80 2.6k
Stephen M. Neate Australia 26 2.1k 0.3× 390 0.3× 265 0.3× 706 0.8× 135 0.4× 66 2.2k
Joshua A. Udall United States 40 4.8k 0.8× 405 0.3× 2.3k 2.2× 115 0.1× 439 1.3× 96 5.7k

Countries citing papers authored by Stephen E. Strelkov

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Strelkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Strelkov. 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 Stephen E. Strelkov. The network helps show where Stephen E. Strelkov may publish in the future.

Co-authorship network of co-authors of Stephen E. Strelkov

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen E. Strelkov. A scholar is included among the top collaborators of Stephen E. Strelkov 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 Stephen E. Strelkov. Stephen E. Strelkov 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.
Hwang, Sheau‐Fang, et al.. (2024). Pathogenicity, Host Resistance, and Genetic Diversity of Fusarium Species under Controlled Conditions from Soybean in Canada. Journal of Fungi. 10(5). 303–303. 5 indexed citations
3.
Strelkov, Stephen E., et al.. (2023). Blackleg Yield Losses and Interactions with Verticillium Stripe in Canola (Brassica napus) in Canada. Plants. 12(3). 434–434. 10 indexed citations
4.
McLaren, Debra L., et al.. (2023). First Report of Charcoal Rot on Soybean Caused by Macrophomina phaseolina in Manitoba, Canada. Plant Disease. 108(2). 522–522.
5.
Labbé, Caroline, et al.. (2023). A Hydroponic-Based Bioassay to Facilitate Plasmodiophora brassicae Phenotyping. Plant Disease. 108(1). 131–138. 3 indexed citations
6.
Aboukhaddour, Reem, Mohamed Hafez, Megan C. McDonald, et al.. (2023). A Revised Nomenclature for ToxA Haplotypes Across Multiple Fungal Species. Phytopathology. 113(7). 1180–1184. 5 indexed citations
7.
Feizollahi, Ehsan, Urmila Basu, Rudolph Fredua‐Agyeman, et al.. (2023). Effect of Plasma-Activated Water Bubbles on Fusarium graminearum, Deoxynivalenol, and Germination of Naturally Infected Barley during Steeping. Toxins. 15(2). 124–124. 11 indexed citations
8.
Dyck, Miles, Scott X. Chang, Malinda S. Thilakarathna, et al.. (2023). Liming remediates soil acidity and improves crop yield and profitability - a meta-analysis. Frontiers in Agronomy. 5. 40 indexed citations
9.
Moolhuijzen, Paula, Pao Theen See, Gongjun Shi, et al.. (2022). A global pangenome for the wheat fungal pathogen Pyrenophora tritici-repentis and prediction of effector protein structural homology. Microbial Genomics. 8(10). 12 indexed citations
10.
McDonald, Megan C., Mohamed Hafez, Rodrigo Ortega Polo, et al.. (2022). The pangenome of the wheat pathogen Pyrenophora tritici-repentis reveals novel transposons associated with necrotrophic effectors ToxA and ToxB. BMC Biology. 20(1). 239–239. 32 indexed citations
11.
Hamelin, Frédéric, et al.. (2022). Host Diversification May Split Epidemic Spread into Two Successive Fronts Advancing at Different Speeds. Bulletin of Mathematical Biology. 84(7). 68–68. 6 indexed citations
12.
Strelkov, Stephen E., et al.. (2022). The Occurrence of Clubroot in Colombia and Its Relationship with Climate and Agronomic Practices. Horticulturae. 8(8). 711–711. 1 indexed citations
13.
Gossen, B. D., et al.. (2021). Effect of fungicide application technology on seed yield in field pea under variable Mycosphaerella blight pressure. Canadian Journal of Plant Pathology. 43(5). 680–693. 1 indexed citations
14.
Zhang, Yan, Qilin Chen, Gary Peng, et al.. (2020). Two Clubroot-Resistance Genes, Rcr3 and Rcr9wa, Mapped in Brassica rapa Using Bulk Segregant RNA Sequencing. International Journal of Molecular Sciences. 21(14). 5033–5033. 45 indexed citations
15.
Yang, Tao, Junye Jiang, Hongyan Zhang, et al.. (2019). Density enhancement of a faba bean genetic linkage map (Vicia faba) based on simple sequence repeats markers. Plant Breeding. 138(2). 207–215. 8 indexed citations
16.
Chang, K. F., Sheau‐Fang Hwang, Stephen E. Strelkov, et al.. (2017). Disease reaction to<i> Rhizoctonia solani</i> and yield losses in soybean. Canadian Journal of Plant Science. 14 indexed citations
17.
Hwang, Sheau‐Fang, K. F. Chang, Stephen E. Strelkov, B. D. Gossen, & R. J. Howard. (2014). The impact of Fusarium avenaceum on lupin production on the Canadian prairies. Canadian Journal of Plant Pathology. 36(3). 291–299. 3 indexed citations
18.
Aboukhaddour, Reem, M. Javan‐Nikkhah, Mohammad Razavi, et al.. (2014). RACE IDENTIFICATION OF PYRENOPHORA TRITICI-REPENTIS IN IRAN. Journal of Plant Pathology. 96(2). 287–294. 12 indexed citations
19.
Holtz, Michael D., K. F. Chang, Sheau‐Fang Hwang, B. D. Gossen, & Stephen E. Strelkov. (2011). Characterization of Fusarium avenaceum from lupin in central Alberta: genetic diversity, mating type and aggressiveness. Canadian Journal of Plant Pathology. 33(1). 61–76. 18 indexed citations
20.
Hwang, Sheau‐Fang, Hammad Ahmed, G. D. Turnbull, et al.. (2007). Effect of crop rotation on canola seedling blight and soil pathogen population dynamics. 30(2). 369–369. 5 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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