Christopher Dardick

2.5k total citations
31 papers, 1.5k citations indexed

About

Christopher Dardick is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Christopher Dardick has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 13 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Christopher Dardick's work include Plant-Microbe Interactions and Immunity (14 papers), Plant Virus Research Studies (12 papers) and Plant Pathogenic Bacteria Studies (9 papers). Christopher Dardick is often cited by papers focused on Plant-Microbe Interactions and Immunity (14 papers), Plant Virus Research Studies (12 papers) and Plant Pathogenic Bacteria Studies (9 papers). Christopher Dardick collaborates with scholars based in United States, China and Ireland. Christopher Dardick's co-authors include Pamela C. Ronald, Patrick E. Canlas, Deling Ruan, Xuewei Chen, James N. Culver, Laura Bartley, Mawsheng Chern, Shu Ouyang, Todd Richter and Ralph Scorza and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and International Journal of Molecular Sciences.

In The Last Decade

Christopher Dardick

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Dardick United States 18 1.3k 605 133 65 64 31 1.5k
Slavica Djonović United States 8 815 0.6× 428 0.7× 174 1.3× 48 0.7× 67 1.0× 9 1.0k
Jung‐Gun Kim United States 16 1.2k 0.9× 619 1.0× 60 0.5× 71 1.1× 42 0.7× 22 1.5k
Jun Guo China 28 1.8k 1.4× 747 1.2× 240 1.8× 78 1.2× 77 1.2× 68 1.9k
Lennart Eschen‐Lippold Germany 28 2.0k 1.5× 885 1.5× 143 1.1× 27 0.4× 88 1.4× 48 2.2k
Dimitar Douchkov Germany 18 1.4k 1.1× 614 1.0× 169 1.3× 117 1.8× 70 1.1× 33 1.6k
Zhendong Tian China 26 1.8k 1.4× 690 1.1× 202 1.5× 42 0.6× 54 0.8× 74 2.0k
Hisatoshi Kaku Japan 17 1.4k 1.0× 513 0.8× 159 1.2× 22 0.3× 55 0.9× 45 1.5k
Qingzhen Zhao China 17 1.9k 1.5× 1.4k 2.4× 166 1.2× 55 0.8× 78 1.2× 26 2.4k
Tianqiao Song China 14 1.3k 1.0× 430 0.7× 288 2.2× 38 0.6× 50 0.8× 44 1.4k
Yves Marco France 22 2.7k 2.1× 1.0k 1.7× 198 1.5× 41 0.6× 90 1.4× 30 3.0k

Countries citing papers authored by Christopher Dardick

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Dardick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Dardick

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Dardick. A scholar is included among the top collaborators of Christopher Dardick 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 Christopher Dardick. Christopher Dardick 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.
Callahan, Ann, Tetyana Zhebentyayeva, Jodi L. Humann, et al.. (2021). Defining the ‘HoneySweet’ insertion event utilizing NextGen sequencing and a de novo genome assembly of plum (Prunus domestica). Horticulture Research. 8(1). 8–8. 17 indexed citations
3.
Yu, Jiali, Christopher Dardick, Tetyana Zhebentyayeva, et al.. (2021). Genome-Wide Changes of Regulatory Non-Coding RNAs Reveal Pollen Development Initiated at Ecodormancy in Peach. Frontiers in Molecular Biosciences. 8. 612881–612881. 11 indexed citations
4.
Bate, Nicholas J., Christopher Dardick, Ruud A. de Maagd, & Robert W. Williams. (2021). Opportunities and challenges applying gene editing to specialty crops. In Vitro Cellular & Developmental Biology - Plant. 57(4). 709–719. 7 indexed citations
5.
Yu, Jiali, Anna O. Conrad, Véronique Decroocq, et al.. (2020). Distinctive Gene Expression Patterns Define Endodormancy to Ecodormancy Transition in Apricot and Peach. Frontiers in Plant Science. 11. 180–180. 37 indexed citations
6.
Hotton, Sara K., et al.. (2020). Isolation of novel citrus and plum fruit promoters and their functional characterization for fruit biotechnology. BMC Biotechnology. 20(1). 43–43. 6 indexed citations
7.
Stone, Andrew L., et al.. (2020). Dynamic changes impact the plum pox virus population structure during leaf and bud development. Virology. 548. 192–199. 8 indexed citations
8.
Dardick, Christopher, et al.. (2019). Identification of phloem-associated translatome alterations during leaf development in Prunus domestica L.. Horticulture Research. 6(1). 16–16. 10 indexed citations
9.
Levin, Elena, Ana‐Rosa Ballester, Yongsheng Liu, et al.. (2017). Identification and characterization of LysM effectors in Penicillium expansum. PLoS ONE. 12(10). e0186023–e0186023. 27 indexed citations
10.
Chandran, Anil Kumar Nalini, Yo-Han Yoo, Peijian Cao, et al.. (2016). Updated Rice Kinase Database RKD 2.0: enabling transcriptome and functional analysis of rice kinase genes. Rice. 9(1). 40–40. 16 indexed citations
11.
Núñez, Alberto, et al.. (2010). Light Quantity and Photosystem Function Mediate Host Susceptibility to Turnip mosaic virus Via a Salicylic Acid–Independent Mechanism. Molecular Plant-Microbe Interactions. 24(3). 315–327. 37 indexed citations
12.
13.
Jung, Ki‐Hong, Peijian Cao, Young‐Su Seo, Christopher Dardick, & Pamela C. Ronald. (2010). The Rice Kinase Phylogenomics Database: a guide for systematic analysis of the rice kinase super-family. Trends in Plant Science. 15(11). 595–599. 51 indexed citations
14.
Rohila, Jai S., Mei Chen, Ronald L. Cerny, et al.. (2009). Protein-Protein Interactions of Tandem Affinity Purified Protein Kinases from Rice. PLoS ONE. 4(8). e6685–e6685. 29 indexed citations
15.
Bartley, Laura, Xuewei Chen, Christopher Dardick, et al.. (2008). OsWRKY62 is a Negative Regulator of Basal and Xa21-Mediated Defense against Xanthomonas oryzae pv. oryzae in Rice. Molecular Plant. 1(3). 446–458. 228 indexed citations
16.
Park, Chang‐Jin, Xuewei Chen, Christopher Dardick, et al.. (2008). Rice XB15, a Protein Phosphatase 2C, Negatively Regulates Cell Death and XA21-Mediated Innate Immunity. PLoS Biology. 6(9). e231–e231. 160 indexed citations
17.
Dardick, Christopher. (2007). Comparative Expression Profiling ofNicotiana benthamianaLeaves Systemically Infected with Three Fruit Tree Viruses. Molecular Plant-Microbe Interactions. 20(8). 1004–1017. 101 indexed citations
18.
Dardick, Christopher & Pamela C. Ronald. (2006). Plant and Animal Pathogen Recognition Receptors Signal through Non-RD Kinases. PLoS Pathogens. 2(1). e2–e2. 192 indexed citations
19.
Shen, Yuwei, Christopher Dardick, Saul Burdman, et al.. (2004). Bacterial Genes Involved in Type I Secretion and Sulfation Are Required to Elicit the Rice Xa21-Mediated Innate Immune Response. Molecular Plant-Microbe Interactions. 17(6). 593–601. 89 indexed citations
20.
Dardick, Christopher, et al.. (2000). Susceptibility and Symptom Development in Arabidopsis thaliana to Tobacco mosaic virus Is Influenced by Virus Cell-to-Cell Movement. Molecular Plant-Microbe Interactions. 13(10). 1139–1144. 47 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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