Kiersten Wise

4.0k total citations
82 papers, 1.8k citations indexed

About

Kiersten Wise is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kiersten Wise has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Plant Science, 41 papers in Cell Biology and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kiersten Wise's work include Plant Pathogens and Fungal Diseases (41 papers), Plant Disease Resistance and Genetics (22 papers) and Nematode management and characterization studies (17 papers). Kiersten Wise is often cited by papers focused on Plant Pathogens and Fungal Diseases (41 papers), Plant Disease Resistance and Genetics (22 papers) and Nematode management and characterization studies (17 papers). Kiersten Wise collaborates with scholars based in United States, Canada and Costa Rica. Kiersten Wise's co-authors include Carl A. Bradley, Daren S. Mueller, Martin I. Chilvers, Albert Tenuta, Paul D. Esker, Yuba R. Kandel, Dean K. Malvick, Neil C. Gudmestad, William G. Johnson and Alison E. Robertson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Kiersten Wise

75 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiersten Wise United States 25 1.6k 733 256 168 133 82 1.8k
David B. Langston United States 22 1.2k 0.7× 504 0.7× 226 0.9× 81 0.5× 42 0.3× 93 1.3k
Lindsey J. du Toit United States 21 1.4k 0.9× 643 0.9× 159 0.6× 146 0.9× 47 0.4× 97 1.5k
Stephen M. Neate Australia 26 2.1k 1.3× 706 1.0× 135 0.5× 265 1.6× 92 0.7× 66 2.2k
A. Dinoor Israel 26 1.9k 1.1× 803 1.1× 268 1.0× 400 2.4× 78 0.6× 61 2.1k
G. L. Bateman United Kingdom 21 1.4k 0.8× 712 1.0× 202 0.8× 74 0.4× 67 0.5× 105 1.4k
W. L. Pedersen United States 23 1.3k 0.8× 517 0.7× 90 0.4× 236 1.4× 179 1.3× 48 1.4k
Nora Altier Uruguay 15 577 0.4× 302 0.4× 112 0.4× 228 1.4× 74 0.6× 55 825
Abdelfattah A. Dababat Türkiye 26 2.2k 1.4× 451 0.6× 104 0.4× 221 1.3× 174 1.3× 203 2.4k
D. E. Mathre United States 19 1.2k 0.7× 501 0.7× 164 0.6× 208 1.2× 66 0.5× 68 1.4k
Richard E. Baird United States 17 964 0.6× 422 0.6× 121 0.5× 120 0.7× 27 0.2× 93 1.1k

Countries citing papers authored by Kiersten Wise

Since Specialization
Citations

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

Fields of papers citing papers by Kiersten Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiersten Wise

This figure shows the co-authorship network connecting the top 25 collaborators of Kiersten Wise. A scholar is included among the top collaborators of Kiersten Wise 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 Kiersten Wise. Kiersten Wise 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.
Creswell, Tom, et al.. (2025). Tracking the Distribution and Risk of Tar Spot of Corn in Indiana from 2015 to 2022. Plant Health Progress. 26(4). 662–674.
2.
3.
Baars, Oliver, Rakhi Singh, Mary Anna Carbone, et al.. (2022). Asymmetrical lineage introgression and recombination in populations of Aspergillus flavus: Implications for biological control. PLoS ONE. 17(10). e0276556–e0276556. 11 indexed citations
4.
Groves, Carol L., M. R. Hajimorad, Kiersten Wise, et al.. (2022). Detection and discovery of plant viruses in soybean by metagenomic sequencing. Virology Journal. 19(1). 149–149. 14 indexed citations
5.
Bradley, Carl A., et al.. (2022). Isolates of Phytophthora sansomeana Display a Range of Aggressiveness on Soybean Seedlings. Plant Health Progress. 24(2). 171–179. 2 indexed citations
6.
Kandel, Yuba R., Janette L. Jacobs, Adam M. Byrne, et al.. (2021). Influence of Fusarium virguliforme Temporal Colonization of Corn, Tillage, and Residue Management on Soybean Sudden Death Syndrome and Soybean Yield. Plant Disease. 105(10). 3250–3260. 3 indexed citations
7.
Bergstrom, Gary C., Carl A. Bradley, Christina Cowger, et al.. (2020). Sensitivity of Fusarium graminearum to Metconazole and Tebuconazole Fungicides Before and After Widespread Use in Wheat in the United States. Plant Health Progress. 21(2). 85–90. 22 indexed citations
8.
Paul, Pierce A., Carl A. Bradley, L. V. Madden, et al.. (2018). Effects of Pre- and Postanthesis Applications of Demethylation Inhibitor Fungicides on Fusarium Head Blight and Deoxynivalenol in Spring and Winter Wheat. Plant Disease. 102(12). 2500–2510. 38 indexed citations
9.
Paul, Pierce A., Gary C. Bergstrom, Carl A. Bradley, et al.. (2018). Integrated Effects of Genetic Resistance and Prothioconazole + Tebuconazole Application Timing on Fusarium Head Blight in Wheat. Plant Disease. 103(2). 223–237. 43 indexed citations
10.
Paul, Pierce A., Carl A. Bradley, L. V. Madden, et al.. (2018). Meta-Analysis of the Effects of QoI and DMI Fungicide Combinations on Fusarium Head Blight and Deoxynivalenol in Wheat. Plant Disease. 102(12). 2602–2615. 39 indexed citations
11.
Reddy, Ramya, Jiaoping Zhang, Daren S. Mueller, et al.. (2017). Genetic Architecture of Charcoal Rot (Macrophomina phaseolina) Resistance in Soybean Revealed Using a Diverse Panel. Frontiers in Plant Science. 8. 1626–1626. 65 indexed citations
12.
Camberato, James J., et al.. (2017). Survival of Stenocarpella maydis on Corn Residue in Indiana. Plant Health Progress. 18(2). 78–83. 2 indexed citations
13.
Brown‐Guedira, Gina, et al.. (2016). Determining the order of resistance genes against Stagonospora nodorum blotch, Fusarium head blight and stem rust on wheat chromosome arm 3BS. BMC Research Notes. 9(1). 58–58. 4 indexed citations
14.
15.
Wise, Kiersten, et al.. (2015). Timing and Efficacy of Fungicide Applications for Diplodia Ear Rot Management in Corn. Plant Health Progress. 16(3). 123–131. 9 indexed citations
16.
Bradley, Carl A., et al.. (2015). Association of Diaporthe longicolla with Black Zone Lines on Mature Soybean Plants. Plant Health Progress. 16(3). 118–122. 6 indexed citations
17.
Paul, Pierce A., L. V. Madden, Carl A. Bradley, et al.. (2011). Meta-Analysis of Yield Response of Hybrid Field Corn to Foliar Fungicides in the U.S. Corn Belt. Phytopathology. 101(9). 1122–1132. 88 indexed citations
18.
Wise, Kiersten, Robert A. Henson, & Carl A. Bradley. (2009). Fungicide Seed Treatment Effects on Seed-borne Ascochyta rabiei in Chickpea. HortTechnology. 19(3). 533–537. 4 indexed citations
19.
Wise, Kiersten, Robert A. Henson, & Carl A. Bradley. (2009). Fungicide Seed Treatment Effects on Seed-borne Ascochyta rabiei in Chickpea. HortTechnology. 19(3). 533–537. 10 indexed citations
20.
Williams, Geoffrey A., et al.. (2009). Assessment of radiation doses to Australian participants in British nuclear tests. Radiation Protection Dosimetry. 136(3). 158–167. 3 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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