John P. Carr

10.8k total citations · 1 hit paper
135 papers, 8.0k citations indexed

About

John P. Carr is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, John P. Carr has authored 135 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Plant Science, 34 papers in Molecular Biology and 30 papers in Insect Science. Recurrent topics in John P. Carr's work include Plant Virus Research Studies (96 papers), Plant-Microbe Interactions and Immunity (45 papers) and Insect-Plant Interactions and Control (27 papers). John P. Carr is often cited by papers focused on Plant Virus Research Studies (96 papers), Plant-Microbe Interactions and Immunity (45 papers) and Insect-Plant Interactions and Control (27 papers). John P. Carr collaborates with scholars based in United Kingdom, United States and China. John P. Carr's co-authors include Alex M. Murphy, Daniel F. Klessig, Jocelyn Malamy, Ilya Raskin, Stephen Chivasa, Peter Palukaitis, Mathew G. Lewsey, James O. Berry, Jack H. Westwood and Martin Naylor and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

John P. Carr

130 papers receiving 7.7k citations

Hit Papers

Salicylic Acid: A Likely Endogenous Signal in the Resista... 1990 2026 2002 2014 1990 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Salicylic Acid: A Likely Endogenous Signal in the Resistance Response of Tobacco to Viral Infection
    1990 1.1k citations John P. Carr, Daniel F. Klessig et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John P. Carr United Kingdom 53 7.1k 2.6k 1.2k 844 514 135 8.0k
Yule Liu China 54 9.8k 1.4× 5.0k 1.9× 1.6k 1.3× 892 1.1× 826 1.6× 160 11.8k
Christophe Robaglia France 42 5.2k 0.7× 3.4k 1.3× 366 0.3× 528 0.6× 332 0.6× 92 6.2k
Kinya Nomura United States 27 6.8k 1.0× 1.9k 0.7× 1.2k 0.9× 264 0.3× 161 0.3× 36 7.5k
Huub J. M. Linthorst Netherlands 37 5.1k 0.7× 3.0k 1.1× 422 0.3× 323 0.4× 606 1.2× 70 6.1k
Hailing Jin United States 58 10.5k 1.5× 7.2k 2.7× 614 0.5× 1.1k 1.2× 330 0.6× 107 13.6k
Margaret G. Redinbaugh United States 37 4.0k 0.6× 1.5k 0.6× 1.4k 1.2× 487 0.6× 144 0.3× 114 5.1k
J. F. Antoniw United Kingdom 34 3.3k 0.5× 1.6k 0.6× 402 0.3× 704 0.8× 337 0.7× 96 4.4k
Neil E. Olszewski United States 44 5.5k 0.8× 4.0k 1.5× 287 0.2× 431 0.5× 299 0.6× 90 6.3k
Aiming Wang Canada 48 5.1k 0.7× 1.8k 0.7× 839 0.7× 1.4k 1.6× 497 1.0× 174 6.5k
Kristina Gruden Slovenia 41 3.2k 0.5× 2.3k 0.9× 563 0.5× 255 0.3× 292 0.6× 170 4.9k

Countries citing papers authored by John P. Carr

Since Specialization
Citations

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

Fields of papers citing papers by John P. Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Carr

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Carr. A scholar is included among the top collaborators of John P. Carr 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 John P. Carr. John P. Carr 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.
Wood, George, Jessica Powell, Panagiotis Tourlomousis, et al.. (2025). The Salmonella pathogenicity island 1 injectisome reprograms host cell translation to evade the inflammatory response. Nature Communications. 16(1). 9742–9742.
2.
Murphy, Alex M., et al.. (2024). Strain-specific differences in the interactions of the cucumber mosaic virus 2b protein with the viral 1a and host Argonaute 1 proteins. Journal of Virology. 98(9). e0099324–e0099324. 2 indexed citations
3.
4.
Murphy, Alex M., et al.. (2023). Identification and characterization of Phaseolus vulgaris endornavirus 1, 2 and 3 in common bean cultivars of East Africa. Virus Genes. 59(5). 741–751. 2 indexed citations
5.
6.
Tungadi, Trisna, et al.. (2023). Induction of aphid resistance in tobacco by the cucumber mosaic virus CMV∆2b mutant is jasmonate‐dependent. Molecular Plant Pathology. 24(4). 391–395. 4 indexed citations
7.
Murphy, Alex M., Sanjie Jiang, Adrienne E. Pate, et al.. (2023). Biased pollen transfer by bumblebees favors the paternity of virus-infected plants in cross-pollination. iScience. 26(3). 106116–106116. 4 indexed citations
8.
9.
Liao, Qiansheng, Yifei Tu, John P. Carr, & Zhiyou Du. (2015). An improved cucumber mosaic virus-based vector for efficient decoying of plant microRNAs. Scientific Reports. 5(1). 13178–13178. 15 indexed citations
10.
González, Inmaculada, Daria V. Rakitina, Michael Taliansky, et al.. (2012). RNA binding is more critical to the suppression of silencing function ofCucumber mosaic virus2b protein than nuclear localization. RNA. 18(4). 771–782. 67 indexed citations
11.
Carr, John P., Mathew G. Lewsey, & Peter Palukaitis. (2010). Signaling in Induced Resistance. Advances in virus research. 76. 57–121. 132 indexed citations
12.
Kalinina, Natalia O., et al.. (2010). Symptom induction and RNA silencing suppression by the cucumber mosaic virus. Plant Signaling & Behavior. 5(6). 1–4. 64 indexed citations
13.
Lewsey, Mathew G., Alex M. Murphy, Dan MacLean, et al.. (2010). Disruption of Two Defensive Signaling Pathways by a Viral RNA Silencing Suppressor. Molecular Plant-Microbe Interactions. 23(7). 835–845. 142 indexed citations
14.
Loebenstein, G. & John P. Carr. (2009). Natural and engineered resistance to plant viruses. Academic Press eBooks. 3 indexed citations
15.
Palukaitis, Peter & John P. Carr. (2008). PLANT RESISTANCE RESPONSES TO VIRUSES. Journal of Plant Pathology. 90(2). 153–171. 32 indexed citations
16.
Murphy, Alex M., et al.. (2002). Virulence and Differential Local and Systemic Spread of Cucumber mosaic virus in Tobacco are Affected by the CMV 2b Protein. Molecular Plant-Microbe Interactions. 15(7). 647–653. 113 indexed citations
17.
18.
Chivasa, Stephen, James O. Berry, Tom ap Rees, & John P. Carr. (1999). Changes in gene expression during development and thermogenesis in Arum. Australian Journal of Plant Physiology. 26(5). 391–399. 15 indexed citations
19.
Carr, John P., et al.. (1987). Synthesis and Localization of Pathogenesis-Related Proteins in Tobacco. Molecular and Cellular Biology. 7(4). 1580–1583. 26 indexed citations
20.
White, R. F., J. F. Antoniw, John P. Carr, & R. D. Woods. (1983). The effects of aspirin and poly acrylic acid on the multiplication and spread of tobacco mosaic virus in different cultivars of tobacco nicotiana tobacum with and without the n gene. 107(3). 224–232. 4 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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