James E. Kurle

2.0k total citations
34 papers, 1.1k citations indexed

About

James E. Kurle is a scholar working on Plant Science, Cell Biology and Agronomy and Crop Science. According to data from OpenAlex, James E. Kurle has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 13 papers in Cell Biology and 9 papers in Agronomy and Crop Science. Recurrent topics in James E. Kurle's work include Plant Pathogens and Fungal Diseases (13 papers), Plant Pathogens and Resistance (12 papers) and Plant Disease Management Techniques (8 papers). James E. Kurle is often cited by papers focused on Plant Pathogens and Fungal Diseases (13 papers), Plant Pathogens and Resistance (12 papers) and Plant Disease Management Techniques (8 papers). James E. Kurle collaborates with scholars based in United States, China and Mexico. James E. Kurle's co-authors include R. Kent Crookston, C. R. Grau, F. L. Pfleger, W. E. Lueschen, J. H. Ford, P. J. Copeland, Dean K. Malvick, Carl A. Bradley, John Gaska and Anne E. Dorrance and has published in prestigious journals such as Molecular Ecology, Plant and Soil and Field Crops Research.

In The Last Decade

James E. Kurle

33 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James E. Kurle United States 18 914 316 257 169 93 34 1.1k
Charles P. Staver United States 4 661 0.7× 188 0.6× 194 0.8× 75 0.4× 87 0.9× 4 784
L. H. Rhodes United States 14 692 0.8× 142 0.4× 101 0.4× 94 0.6× 73 0.8× 34 797
Y. G. Yanni United States 14 977 1.1× 193 0.6× 77 0.3× 127 0.8× 134 1.4× 31 1.1k
Timothy L. Widmer United States 14 946 1.0× 105 0.3× 287 1.1× 134 0.8× 152 1.6× 51 1.1k
Natarajan Mathimaran Switzerland 15 982 1.1× 168 0.5× 107 0.4× 168 1.0× 86 0.9× 20 1.1k
Brigitte Dorn Switzerland 9 403 0.4× 153 0.5× 127 0.5× 144 0.9× 37 0.4× 19 544
R. C. Sharma Mexico 29 2.3k 2.5× 712 2.3× 186 0.7× 124 0.7× 128 1.4× 104 2.4k
J. M. Duniway United States 20 1.1k 1.2× 73 0.2× 304 1.2× 61 0.4× 143 1.5× 36 1.2k
Allen Xue Canada 28 2.1k 2.3× 278 0.9× 729 2.8× 82 0.5× 278 3.0× 124 2.2k
H. Wallwork Australia 28 1.8k 2.0× 160 0.5× 567 2.2× 64 0.4× 247 2.7× 68 2.0k

Countries citing papers authored by James E. Kurle

Since Specialization
Citations

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

Fields of papers citing papers by James E. Kurle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Kurle

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Kurle. A scholar is included among the top collaborators of James E. Kurle 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 James E. Kurle. James E. Kurle 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.
Byrne, Adam M., et al.. (2022). Oomicide Treated Soybean Seeds Reduce Early Season Stand Loss to Phytophthora Sojae. SSRN Electronic Journal. 1 indexed citations
2.
Sun, Man‐Hong, Senyu Chen, & James E. Kurle. (2021). Interactive Effects of Soybean Cyst Nematode, Arbuscular-Mycorrhizal Fungi, and Soil pH on Chlorophyll Content and Plant Growth of Soybean. Phytobiomes Journal. 6(1). 95–105. 5 indexed citations
3.
Dorrance, Anne E., James E. Kurle, Alison E. Robertson, et al.. (2016). Pathotype Diversity of Phytophthora sojae in Eleven States in the United States. Plant Disease. 100(7). 1429–1437. 61 indexed citations
4.
Bao, Yong, et al.. (2015). Association mapping and genomic prediction for resistance to sudden death syndrome in early maturing soybean germplasm. Molecular Breeding. 35(6). 128–128. 46 indexed citations
5.
Bienapfl, J. C., et al.. (2012). Symptomatic and Asymptomatic Host Range of Fusarium virguliforme, the Causal Agent of Soybean Sudden Death Syndrome. Plant Disease. 96(8). 1148–1153. 45 indexed citations
6.
Tao, Zhining, Dean K. Malvick, Carl J. Bernacchi, et al.. (2009). Predicting the risk of soybean rust in Minnesota based on an integrated atmospheric model. International Journal of Biometeorology. 53(6). 509–521. 15 indexed citations
7.
Chen, Senyu, James E. Kurle, Salliana R. Stetina, et al.. (2007). Interactions between iron-deficiency chlorosis and soybean cyst nematode in Minnesota soybean fields. Plant and Soil. 299(1-2). 131–139. 11 indexed citations
8.
Jia, Haiyan & James E. Kurle. (2007). Resistance and partial resistance to Phytophthora sojae in early maturity group soybean plant introductions. Euphytica. 159(1-2). 27–34. 11 indexed citations
9.
Krupa, Sagar V., Van C. Bowersox, Charles W. Barnes, et al.. (2006). Introduction of Asian Soybean Rust Urediniospores into the Midwestern United States—A Case Study. Plant Disease. 90(9). 1254–1259. 25 indexed citations
10.
Jensen, Consuelo Estévez de, et al.. (2004). Additive effect of soil bulk density and Fusarium solani on dry bean and soybean root rot. Phytopathology. 94(6). 144–144.
11.
Mueller, Daren S., Carl A. Bradley, C. R. Grau, et al.. (2004). Application of thiophanate-methyl at different host growth stages for management of sclerotinia stem rot in soybean. Crop Protection. 23(10). 983–988. 37 indexed citations
12.
Kurle, James E., et al.. (2003). First Report of Charcoal Rot (Macrophomina phaseolina) on Soybean in Minnesota. Plant Disease. 87(2). 202–202. 16 indexed citations
13.
Malvick, Dean K., W. Chen, James E. Kurle, & C. R. Grau. (2003). Cultivar Preference and Genotype Distribution of the Brown Stem Rot Pathogen Phialophora gregata in the Midwestern United States. Plant Disease. 87(10). 1250–1254. 17 indexed citations
14.
Kurle, James E., et al.. (2003). First Report of Sudden Death Syndrome (Fusarium solani f. sp. glycines) of Soybean in Minnesota. Plant Disease. 87(4). 449–449. 9 indexed citations
15.
Jensen, Consuelo Estévez de, James E. Kurle, & J. A. Percich. (2003). Integrated management of edaphic and biotic factors limiting yield of irrigated soybean and dry bean in Minnesota. Field Crops Research. 86(2-3). 211–224. 16 indexed citations
16.
Jensen, Consuelo Estévez de, James E. Kurle, & J. A. Percich. (2002). Tillage and seed inoculation effects on bean and soybean root rot in two soils in Minnesota. 1 indexed citations
17.
MacDonald, Douglas H., et al.. (2001). The Soybean Cyst Nematode. University of Minnesota Digital Conservancy (University of Minnesota). 5 indexed citations
18.
Chen, Weidong, et al.. (1999). Specific detection of Phialophora gregata and Plectosporium tabacinum in infected soybean plants using polymerase chain reaction. Molecular Ecology. 8(5). 871–877. 22 indexed citations
19.
Kurle, James E. & F. L. Pfleger. (1996). Management Influences on Arbuscular Mycorrhizal Fungal Species Composition in a Corn‐Soybean Rotation. Agronomy Journal. 88(2). 155–161. 42 indexed citations
20.
Crookston, R. Kent & James E. Kurle. (1988). Using the Kernel Milk Line to Determine When to Harvest Corn for Silage. jpa. 1(4). 293–295. 16 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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