Kerik D. Cox

1.9k total citations
84 papers, 1.4k citations indexed

About

Kerik D. Cox is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kerik D. Cox has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Plant Science, 46 papers in Cell Biology and 36 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kerik D. Cox's work include Plant Pathogens and Fungal Diseases (46 papers), Fungal Plant Pathogen Control (34 papers) and Plant Pathogenic Bacteria Studies (21 papers). Kerik D. Cox is often cited by papers focused on Plant Pathogens and Fungal Diseases (46 papers), Fungal Plant Pathogen Control (34 papers) and Plant Pathogenic Bacteria Studies (21 papers). Kerik D. Cox collaborates with scholars based in United States, Canada and France. Kerik D. Cox's co-authors include Sara M. Villani, Guido Schnabel, Stacy D. Singer, H. Scherm, Chaoxi Luo, Mengjun Hu, Zongrang Liu, H Michel, Patricia K. Bryson and Achour Amiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Kerik D. Cox

80 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerik D. Cox United States 24 1.2k 624 590 231 145 84 1.4k
F. M. Dewey United Kingdom 20 1.1k 0.9× 174 0.3× 524 0.9× 340 1.5× 63 0.4× 46 1.3k
Odile Carisse Canada 29 2.1k 1.8× 576 0.9× 1.3k 2.2× 234 1.0× 124 0.9× 128 2.3k
Barry J. Jacobsen United States 22 1.4k 1.2× 141 0.2× 597 1.0× 264 1.1× 111 0.8× 56 1.6k
Carol E. Windels United States 22 1.6k 1.4× 177 0.3× 1.1k 1.8× 186 0.8× 52 0.4× 65 1.8k
Inmaculada Larena Spain 18 1.1k 0.9× 351 0.6× 739 1.3× 176 0.8× 146 1.0× 51 1.3k
A. Dinoor Israel 26 1.9k 1.6× 268 0.4× 803 1.4× 400 1.7× 113 0.8× 61 2.1k
D. Shtienberg Israel 26 2.3k 2.0× 472 0.8× 1.1k 1.8× 234 1.0× 128 0.9× 100 2.5k
David B. Langston United States 22 1.2k 1.1× 226 0.4× 504 0.9× 81 0.4× 129 0.9× 93 1.3k
Henri Maraite Belgium 23 1.3k 1.1× 110 0.2× 414 0.7× 283 1.2× 106 0.7× 108 1.5k
Giovanni Beccari Italy 20 1.2k 1.1× 163 0.3× 728 1.2× 143 0.6× 97 0.7× 53 1.4k

Countries citing papers authored by Kerik D. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Kerik D. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kerik D. Cox. 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 Kerik D. Cox. The network helps show where Kerik D. Cox may publish in the future.

Co-authorship network of co-authors of Kerik D. Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Kerik D. Cox. A scholar is included among the top collaborators of Kerik D. Cox 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 Kerik D. Cox. Kerik D. Cox 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.
Luciano‐Rosario, Dianiris, Kari A. Peter, Kerik D. Cox, et al.. (2024). Mold in, mold out: Harvest bins harbor viable inoculum that can be reduced using novel sanitation methods to manage blue mold decay of apples. Postharvest Biology and Technology. 221. 113323–113323.
2.
Yuan, Xiaochen, George W. Sundin, Quan Zeng, et al.. (2023). Erwinia amylovora Type III Secretion System Inhibitors Reduce Fire Blight Infection Under Field Conditions. Phytopathology. 113(12). 2197–2204. 5 indexed citations
3.
Gdanetz, Kristi, Sara M. Villani, Antonet M. Svircev, et al.. (2023). Multisite Field Evaluation of Bacteriophages for Fire Blight Management: Incorporation of Ultraviolet Radiation Protectants and Impact on the Apple Flower Microbiome. Phytopathology. 114(5). 1028–1038. 12 indexed citations
4.
DuPont, S. Tianna, et al.. (2023). Evaluation of pruning therapies in apple trees with fire blight. Journal of Plant Pathology. 105(4). 1695–1709. 6 indexed citations
5.
DuPont, S. Tianna, et al.. (2023). Evaluation of biopesticides for the control of Erwinia amylovora in apple and pear. Journal of Plant Pathology. 106(3). 889–901. 10 indexed citations
6.
Gu, Ganyu, Padmini Ramachandran, Elizabeth Reed, et al.. (2021). Endophytic Bacterial Communities in Apple Leaves Are Minimally Impacted by Streptomycin Use for Fire Blight Management. Phytobiomes Journal. 5(3). 350–361. 2 indexed citations
8.
Cox, Kerik D., et al.. (2020). Assessing and Minimizing the Development and Spread of Fire Blight Following Mechanical Thinning and Pruning in Apple Orchards. Plant Disease. 105(3). 650–659. 7 indexed citations
9.
Gaskins, Verneta L., et al.. (2020). Global transcriptomic responses orchestrate difenoconazole resistance in Penicillium spp. causing blue mold of stored apple fruit. BMC Genomics. 21(1). 574–574. 10 indexed citations
10.
Jurick, Wayne M., et al.. (2019). A Genome Resource for Several North American Venturia inaequalis Isolates with Multiple Fungicide Resistance Phenotypes. Phytopathology. 110(3). 544–546. 14 indexed citations
11.
Agnello, Arthur M., et al.. (2017). Xylosandrus germanus (Coleoptera: Curculionidae: Scolytinae) Occurrence, Fungal Associations, and Management Trials in New York Apple Orchards. Journal of Economic Entomology. 110(5). 2149–2164. 39 indexed citations
12.
Borejsza-Wysocka, E.E., et al.. (2016). Fire Blight Symptomatic Shoots and the Presence of Erwinia amylovora in Asymptomatic Apple Budwood. Plant Disease. 101(1). 186–191. 12 indexed citations
13.
Singer, Stacy D., Zongrang Liu, & Kerik D. Cox. (2011). Minimizing the unpredictability of transgene expression in plants: the role of genetic insulators. Plant Cell Reports. 31(1). 13–25. 35 indexed citations
14.
Hu, Mengjun, Kerik D. Cox, Guido Schnabel, & Chaoxi Luo. (2011). Monilinia Species Causing Brown Rot of Peach in China. PLoS ONE. 6(9). e24990–e24990. 112 indexed citations
16.
Baumgartner, Kendra, et al.. (2010). Natural infection of an herbaceous host by Armillaria : a case study on Hemerocallis. Canadian Journal of Plant Pathology. 32(3). 351–360. 3 indexed citations
17.
Singer, Stacy D., Kerik D. Cox, & Zongrang Liu. (2010). Enhancer–promoter interference and its prevention in transgenic plants. Plant Cell Reports. 30(5). 723–731. 28 indexed citations
18.
Fuchs, Marc, et al.. (2010). OCCURRENCE OF TOMATO RINGSPOT VIRUS AND TOBACCO RINGSPOT VIRUS IN HIGHBUSH BLUEBERRY IN NEW YORK STATE. Journal of Plant Pathology. 92(2). 451–459. 20 indexed citations
19.
Singer, Stacy D., Kerik D. Cox, & Zongrang Liu. (2010). Both the constitutive Cauliflower Mosaic Virus 35S and tissue-specific AGAMOUS enhancers activate transcription autonomously in Arabidopsis thaliana. Plant Molecular Biology. 74(3). 293–305. 32 indexed citations
20.
Schnabel, Guido, Wenxuan Chai, & Kerik D. Cox. (2006). Identifying and Characterizing Summer Diseases on ‘Babygold’ Peach in South Carolina. Plant Health Progress. 7(1). 8 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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