Kayla K. Pennerman

660 total citations
31 papers, 433 citations indexed

About

Kayla K. Pennerman is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Kayla K. Pennerman has authored 31 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 15 papers in Cell Biology and 9 papers in Molecular Biology. Recurrent topics in Kayla K. Pennerman's work include Plant Pathogens and Fungal Diseases (15 papers), Mycotoxins in Agriculture and Food (9 papers) and Plant-Microbe Interactions and Immunity (8 papers). Kayla K. Pennerman is often cited by papers focused on Plant Pathogens and Fungal Diseases (15 papers), Mycotoxins in Agriculture and Food (9 papers) and Plant-Microbe Interactions and Immunity (8 papers). Kayla K. Pennerman collaborates with scholars based in United States, China and Canada. Kayla K. Pennerman's co-authors include Guohua Yin, Joan W. Bennett, Yuliang Zhang, Anping Guo, Jiujiang Yu, Qixing Huang, Sui-Sheng T. Hua, Fengshan Yang, Paola Veronese and Xiaoping Tan and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Experimental Botany.

In The Last Decade

Kayla K. Pennerman

29 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayla K. Pennerman United States 13 297 154 119 62 44 31 433
Siliang Huang China 13 328 1.1× 175 1.1× 160 1.3× 99 1.6× 23 0.5× 45 463
Kerstin Dalman Sweden 13 418 1.4× 283 1.8× 129 1.1× 28 0.5× 58 1.3× 17 563
Wenqing Zhou China 9 305 1.0× 77 0.5× 99 0.8× 50 0.8× 16 0.4× 14 448
Edoardo Piombo Sweden 11 280 0.9× 98 0.6× 143 1.2× 24 0.4× 36 0.8× 24 359
Rodrigo Makowiecky Stuart Brazil 9 330 1.1× 228 1.5× 109 0.9× 57 0.9× 32 0.7× 17 512
Elena Levin Israel 10 417 1.4× 141 0.9× 261 2.2× 32 0.5× 42 1.0× 17 495
Yuemin Pan China 15 358 1.2× 220 1.4× 163 1.4× 65 1.0× 54 1.2× 42 532
Jung‐Wook Yang South Korea 13 513 1.7× 169 1.1× 138 1.2× 41 0.7× 16 0.4× 53 608
Gilma Silva Chitarra Netherlands 5 250 0.8× 99 0.6× 96 0.8× 45 0.7× 70 1.6× 8 369
Huiming Guo China 14 457 1.5× 327 2.1× 58 0.5× 53 0.9× 23 0.5× 38 579

Countries citing papers authored by Kayla K. Pennerman

Since Specialization
Citations

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

Fields of papers citing papers by Kayla K. Pennerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kayla K. Pennerman. 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 Kayla K. Pennerman. The network helps show where Kayla K. Pennerman may publish in the future.

Co-authorship network of co-authors of Kayla K. Pennerman

This figure shows the co-authorship network connecting the top 25 collaborators of Kayla K. Pennerman. A scholar is included among the top collaborators of Kayla K. Pennerman 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 Kayla K. Pennerman. Kayla K. Pennerman 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.
Pennerman, Kayla K., Christine Jade Dilla-Ermita, & Peter M. Henry. (2023). Exaggerated Plurivory of Macrophomina phaseolina: Accounting for the Large Host Range Claim and the Shifting of Scientific Language. Phytopathology. 114(1). 119–125. 4 indexed citations
3.
Dilla-Ermita, Christine Jade, et al.. (2023). First Report of Fusarium oxysporum f. sp. fragariae Race 2 Causing Fusarium Wilt of Strawberry (Fragaria × ananassa) in California. Plant Disease. 107(9). 2849–2849. 9 indexed citations
4.
Yin, Guohua, Hui Zhao, Kayla K. Pennerman, et al.. (2021). Genomic Analyses of Penicillium Species Have Revealed Patulin and Citrinin Gene Clusters and Novel Loci Involved in Oxylipin Production. Journal of Fungi. 7(9). 743–743. 13 indexed citations
5.
Pennerman, Kayla K., Guohua Yin, & Joan W. Bennett. (2021). Eight-carbon volatiles: prominent fungal and plant interaction compounds. Journal of Experimental Botany. 73(2). 487–497. 21 indexed citations
6.
Zhou, Sifan, Yunsong Lai, Guohua Yin, et al.. (2019). Integrative analysis of metabolome and transcriptome reveals anthocyanins biosynthesis regulation in grass species Pennisetum purpureum. Industrial Crops and Products. 138. 111470–111470. 34 indexed citations
7.
Pennerman, Kayla K., Guohua Yin, Joan W. Bennett, & Sui-Sheng T. Hua. (2019). Aspergillus flavus NRRL 35739, a Poor Biocontrol Agent, May Have Increased Relative Expression of Stress Response Genes. Journal of Fungi. 5(2). 53–53. 12 indexed citations
8.
Zhang, Yuliang, Yitong Zhang, Guohua Yin, et al.. (2018). RNA Interference to Control Asian Corn Borer Using dsRNA from a Novel Glutathione-S-Transferase Gene of Ostrinia furnacalis (Lepidoptera: Crambidae). Journal of Insect Science. 18(5). 16 indexed citations
9.
Ji, Yang, Peilin Chen, Jing Chen, et al.. (2018). Combinations of Small RNA, RNA, and Degradome Sequencing Uncovers the Expression Pattern of microRNA–mRNA Pairs Adapting to Drought Stress in Leaf and Root of Dactylis glomerata L.. International Journal of Molecular Sciences. 19(10). 3114–3114. 25 indexed citations
10.
Yin, Guohua, Sui Sheng T. Hua, Kayla K. Pennerman, et al.. (2018). Genome sequence and comparative analyses of atoxigenic Aspergillus flavus WRRL 1519. Mycologia. 110(3). 482–493. 15 indexed citations
11.
Yin, Guohua, Yuliang Zhang, Sui Sheng T. Hua, et al.. (2017). Genome Sequencing and Analysis of the Postharvest Fungus Penicillium expansum R21. Genome Announcements. 5(7). 5 indexed citations
12.
Yin, Guohua, Yuliang Zhang, Kayla K. Pennerman, et al.. (2017). Characterization of Blue Mold Penicillium Species Isolated from Stored Fruits Using Multiple Highly Conserved Loci. Journal of Fungi. 3(1). 12–12. 43 indexed citations
13.
Yin, Guohua, Yuliang Zhang, Kayla K. Pennerman, et al.. (2016). Genome Sequencing and Analysis of the Filamentous Fungus Penicillium sclerotiorum 113, Isolated after Hurricane Sandy. Genome Announcements. 4(6). 2 indexed citations
14.
Zhang, Yuliang, Qixing Huang, Guohua Yin, et al.. (2016). Reverse transcription loop-mediated isothermal amplification to rapidly detect Rice ragged stunt virus. Saudi Journal of Biological Sciences. 25(8). 1577–1584. 11 indexed citations
15.
Zhang, Yuliang, Qixing Huang, Kayla K. Pennerman, et al.. (2016). Datasets for transcriptomic analyses of maize leaves in response to Asian corn borer feeding and/or jasmonic acid. Data in Brief. 7. 1010–1014. 2 indexed citations
16.
Yin, Guohua, Yuliang Zhang, Kayla K. Pennerman, et al.. (2016). Draft Genome Sequence of the Fungus Penicillium solitum NJ1. Genome Announcements. 4(6). 5 indexed citations
17.
Zhang, Yuliang, Kayla K. Pennerman, Fengshan Yang, & Guohua Yin. (2015). Maize MeJA-responsive proteins identified by high-resolution 2-DE PAGE. Data in Brief. 5. 129–133. 2 indexed citations
18.
Zhang, Yuliang, Qixing Huang, Guohua Yin, et al.. (2015). Genetic diversity of viruses associated with sugarcane mosaic disease of sugarcane inter-specific hybrids in China. European Journal of Plant Pathology. 143(2). 351–361. 12 indexed citations
19.
Pennerman, Kayla K., et al.. (2015). Characterization of a Sorghum mosaic virus (SrMV) isolate in China. Saudi Journal of Biological Sciences. 23(2). 237–242. 6 indexed citations
20.

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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