Jason P. Bond

1.6k total citations
59 papers, 864 citations indexed

About

Jason P. Bond is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Jason P. Bond has authored 59 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Plant Science, 17 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Jason P. Bond's work include Nematode management and characterization studies (35 papers), Soybean genetics and cultivation (32 papers) and Legume Nitrogen Fixing Symbiosis (25 papers). Jason P. Bond is often cited by papers focused on Nematode management and characterization studies (35 papers), Soybean genetics and cultivation (32 papers) and Legume Nitrogen Fixing Symbiosis (25 papers). Jason P. Bond collaborates with scholars based in United States, Brazil and Egypt. Jason P. Bond's co-authors include Ahmad M. Fakhoury, T. L. Niblack, Ali Srour, Arjun Subedi, Grover Shannon, Alemu Mengistu, Prakash R. Arelli, Allen Wrather, Hala A. Ammar and Rachel L. Cook and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied Microbiology and Biotechnology.

In The Last Decade

Jason P. Bond

56 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason P. Bond United States 17 800 216 75 66 60 59 864
Nicholas LeBlanc United States 13 403 0.5× 291 1.3× 124 1.7× 70 1.1× 43 0.7× 26 486
Youn-Sig Kwak South Korea 5 458 0.6× 177 0.8× 95 1.3× 36 0.5× 41 0.7× 10 511
J. P. Damicone United States 16 615 0.8× 192 0.9× 67 0.9× 27 0.4× 14 0.2× 55 652
Syama Chatterton Canada 17 736 0.9× 354 1.6× 95 1.3× 50 0.8× 11 0.2× 59 793
T.G. Beckman United States 16 642 0.8× 179 0.8× 123 1.6× 44 0.7× 12 0.2× 67 674
J. A. Percich United States 15 493 0.6× 208 1.0× 52 0.7× 45 0.7× 22 0.4× 31 536
Anil Raghavendra Australia 11 335 0.4× 215 1.0× 50 0.7× 108 1.6× 29 0.5× 13 412
Gail Canning United Kingdom 10 389 0.5× 178 0.8× 93 1.2× 35 0.5× 15 0.3× 23 457
Lindsey Otto‐Hanson United States 9 264 0.3× 61 0.3× 70 0.9× 36 0.5× 61 1.0× 13 341
R. J. Gutteridge United Kingdom 17 560 0.7× 179 0.8× 46 0.6× 55 0.8× 83 1.4× 45 637

Countries citing papers authored by Jason P. Bond

Since Specialization
Citations

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

Fields of papers citing papers by Jason P. Bond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason P. Bond. 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 Jason P. Bond. The network helps show where Jason P. Bond may publish in the future.

Co-authorship network of co-authors of Jason P. Bond

This figure shows the co-authorship network connecting the top 25 collaborators of Jason P. Bond. A scholar is included among the top collaborators of Jason P. Bond 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 Jason P. Bond. Jason P. Bond 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.
Subedi, Arjun, et al.. (2025). Dual RNA-seq reveals transcriptome changes during Fusarium virguliforme-Trichoderma afroharzianum interactions. PLoS ONE. 20(1). e0310850–e0310850. 1 indexed citations
2.
Ponte, Emerson M. Del, Thomas Wesley Allen, Jason P. Bond, et al.. (2023). Meta-Analytic Modeling of the Severity–Yield Relationships in Soybean Frogeye Leaf Spot Epidemics. Plant Disease. 107(11). 3422–3429. 1 indexed citations
3.
Ponte, Emerson M. Del, Thomas Wesley Allen, Jason P. Bond, et al.. (2023). Efficacy and Profitability of Fungicides for Managing Frogeye Leaf Spot on Soybean in the United States: A 10-Year Quantitative Summary. Plant Disease. 107(11). 3487–3496. 1 indexed citations
4.
Subedi, Arjun, et al.. (2022). Fluopyram activates systemic resistance in soybean. Frontiers in Plant Science. 13. 1020167–1020167. 2 indexed citations
5.
Subedi, Arjun, et al.. (2020). Trichoderma Isolates Inhibit Fusarium virguliforme Growth, Reduce Root Rot, and Induce Defense-Related Genes on Soybean Seedlings. Plant Disease. 104(7). 1949–1959. 55 indexed citations
6.
Bond, Jason P., et al.. (2017). FvSTR1, a striatin orthologue in Fusarium virguliforme, is required for asexual development and virulence. Applied Microbiology and Biotechnology. 101(16). 6431–6445. 15 indexed citations
7.
Haudenshield, J. S., et al.. (2015). Effect of fungicide seed treatments onFusarium virguliformeinfection of soybean and development of sudden death syndrome. Canadian Journal of Plant Pathology. 37(4). 435–447. 26 indexed citations
8.
Mengistu, Alemu, Prakash R. Arelli, Jason P. Bond, et al.. (2013). Identification of Soybean Accessions Resistant to Macrophomina phaseolina by Field Screening and Laboratory Validation. Plant Health Progress. 14(1). 33 indexed citations
9.
Mengistu, Alemu, Nacer Bellaloui, Jason P. Bond, et al.. (2012). Evaluation of Soybean Genotypes for Resistance to Three Seed-borne Diseases. Plant Health Progress. 13(1). 3 indexed citations
10.
Niblack, T. L., Gregory L. Tylka, Prakash R. Arelli, et al.. (2009). A Standard Greenhouse Method for Assessing Soybean Cyst Nematode Resistance in Soybean: SCE08 (Standardized Cyst Evaluation 2008). Plant Health Progress. 10(1). 46 indexed citations
11.
Walters, S. Alan, et al.. (2008). INCIDENCE AND INFLUENCE OF PLANT-PARASITIC NEMATODES IN SOUTHERN ILLINOIS PEACH ORCHARDS. Nematropica. 38(1). 63–74. 8 indexed citations
12.
Niblack, T. L., et al.. (2008). Shift in Virulence of Soybean Cyst Nematode is Associated with Use of Resistance from PI 88788. Plant Health Progress. 9(1). 128 indexed citations
13.
Walters, S. Alan, et al.. (2006). (30) Effects of Fungicides and Cultivar Resistance for Phytophthora capsici Control in Bell Pepper Production. HortScience. 41(4). 1076A–1076. 2 indexed citations
14.
Bond, Jason P., et al.. (2006). Response of soybean sudden death syndrome to tillage and cultivar. Canadian Journal of Plant Pathology. 28(1). 77–83. 17 indexed citations
15.
Bond, Jason P., et al.. (2005). A Temperature-Controlled Water Bath Method for Evaluating Soybean Reaction to Sudden Death Syndrome (SDS). Plant Health Progress. 6(1). 17 indexed citations
16.
Bond, Jason P., E. C. McGawley, & J. W. Hoy. (2004). SUGARCANE GROWTH AS INFLUENCED BY NEMATODES AND PYTHIUM ARRHENOMANES. Nematropica. 34(2). 245–256. 5 indexed citations
17.
Bond, Jason P., E. C. McGawley, & J. W. Hoy. (2004). The impact of nematodes on sugarcane cultivars. Nematropica. 34(2). 235–244. 3 indexed citations
18.
Walters, S. Alan, et al.. (2004). PLANT-PARASITIC NEMATODES ASSOCIATED WITH HORSERADISH IN ILLINOIS. Nematropica. 34(2). 191–198. 1 indexed citations
19.
Goh, Yit Kheng, J. S. Russin, Said A. Ghabrial, Jason P. Bond, & M. E. Schmidt. (2004). Soybean green stem caused by selected strains of bean pod mottle virus. Phytopathology. 94(6). 158–158. 1 indexed citations
20.
Bond, Jason P., E. C. McGawley, & J. W. Hoy. (2000). Distribution of plant-parasitic nematodes on sugarcane in louisiana and efficacy of nematicides.. PubMed Central. 20 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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