Jay Jayaraman

643 total citations
24 papers, 397 citations indexed

About

Jay Jayaraman is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Jay Jayaraman has authored 24 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 5 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Jay Jayaraman's work include Plant Pathogenic Bacteria Studies (21 papers), Plant-Microbe Interactions and Immunity (21 papers) and Legume Nitrogen Fixing Symbiosis (8 papers). Jay Jayaraman is often cited by papers focused on Plant Pathogenic Bacteria Studies (21 papers), Plant-Microbe Interactions and Immunity (21 papers) and Legume Nitrogen Fixing Symbiosis (8 papers). Jay Jayaraman collaborates with scholars based in New Zealand, South Korea and Germany. Jay Jayaraman's co-authors include Matthew D. Templeton, Kee Hoon Sohn, Sera Choi, Cécile Segonzac, Erik H. A. Rikkerink, Maxim Prokchorchik, Du Seok Choi, Mick Watson, Honour C. McCann and Sang‐Wook Han and has published in prestigious journals such as Scientific Reports, New Phytologist and The Plant Journal.

In The Last Decade

Jay Jayaraman

24 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Jayaraman New Zealand 13 347 59 52 36 14 24 397
Prabha Liyanapathiranage United States 7 293 0.8× 76 1.3× 63 1.2× 20 0.6× 13 0.9× 32 353
Michelle T. Hulin United Kingdom 12 344 1.0× 90 1.5× 138 2.7× 37 1.0× 11 0.8× 25 413
Leire Bardaji Spain 10 261 0.8× 74 1.3× 92 1.8× 29 0.8× 9 0.6× 11 305
Frank Colditz Germany 11 444 1.3× 125 2.1× 51 1.0× 12 0.3× 7 0.5× 14 515
Chrystelle Brin France 11 386 1.1× 58 1.0× 74 1.4× 15 0.4× 10 0.7× 14 415
Paola Zuluaga Colombia 13 588 1.7× 103 1.7× 126 2.4× 13 0.4× 11 0.8× 28 627
Paula Favoretti Vital do Prado Brazil 7 201 0.6× 117 2.0× 50 1.0× 9 0.3× 9 0.6× 11 287
Anna L. Testen United States 11 251 0.7× 47 0.8× 97 1.9× 11 0.3× 6 0.4× 37 293
Tong YunHui China 11 285 0.8× 112 1.9× 102 2.0× 18 0.5× 6 0.4× 25 353
Luis Pérez Vicente Cuba 8 235 0.7× 79 1.3× 99 1.9× 14 0.4× 7 0.5× 25 303

Countries citing papers authored by Jay Jayaraman

Since Specialization
Citations

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

Fields of papers citing papers by Jay Jayaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Jayaraman

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Jayaraman. A scholar is included among the top collaborators of Jay Jayaraman 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 Jay Jayaraman. Jay Jayaraman 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, P.N., Mark T. Andersen, J.L. Vanneste, et al.. (2025). Genomic Biosurveillance of the Kiwifruit Pathogen Pseudomonas syringae pv. actinidiae Biovar 3 Reveals Adaptation to Selective Pressures in New Zealand Orchards. Molecular Plant Pathology. 26(2). e70056–e70056. 1 indexed citations
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Chatterjee, Abhishek, Ronan Chen, Elena Hilario, et al.. (2024). Identification and Characterization of Innate Immunity in Actinidia melanandra in Response to Pseudomonas syringae pv. actinidiae. Plant Cell & Environment. 48(2). 1037–1050. 2 indexed citations
4.
Chatterjee, Abhishek, Ronan Chen, Tianchi Wang, et al.. (2024). NbPTR1 confers resistance against Pseudomonas syringae pv. actinidiae in kiwifruit. Plant Cell & Environment. 47(11). 4101–4115. 1 indexed citations
5.
Jayaraman, Jay, Paul W. Sutherland, Mirco Montefiori, et al.. (2022). Effector loss drives adaptation of Pseudomonas syringae pv. actinidiae biovar 3 to Actinidia arguta. PLoS Pathogens. 18(5). e1010542–e1010542. 20 indexed citations
6.
Jayaraman, Jay, et al.. (2022). Comparison of the pathway structures influencing the temporal response of salicylate and jasmonate defence hormones in Arabidopsis thaliana. Frontiers in Plant Science. 13. 952301–952301. 16 indexed citations
7.
Warring, Suzanne L., Lucía M. Malone, Jay Jayaraman, et al.. (2022). A lipopolysaccharide‐dependent phage infects a pseudomonad phytopathogen and can evolve to evade phage resistance. Environmental Microbiology. 24(10). 4834–4852. 25 indexed citations
8.
Jayaraman, Jay, Abhishek Chatterjee, Ronan Chen, et al.. (2021). Rapid Methodologies for AssessingPseudomonas syringaepv.actinidiaeColonization and Effector-Mediated Hypersensitive Response in Kiwifruit. Molecular Plant-Microbe Interactions. 34(8). 880–890. 12 indexed citations
9.
Rikkerink, Erik H. A., et al.. (2021). Actigard™ induces a defence response to limit Pseudomonas syringae pv. actinidiae in Actinidia chinensis var. chinensis ‘Hort16A’ tissue culture plants.. Scientia Horticulturae. 295. 110806–110806. 8 indexed citations
10.
Jayaraman, Jay, et al.. (2020). AvrE1 and HopR1 from Pseudomonas syringae pv. actinidiae are additively required for full virulence on kiwifruit. Molecular Plant Pathology. 21(11). 1467–1480. 27 indexed citations
11.
Prokchorchik, Maxim, Jay Jayaraman, Stephen J. Poole, et al.. (2020). Host adaptation and microbial competition drive Ralstonia solanacearum phylotype I evolution in the Republic of Korea. Microbial Genomics. 6(11). 16 indexed citations
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Jayaraman, Jay, William T. Jones, Honour C. McCann, et al.. (2020). Variation at the common polysaccharide antigen locus drives lipopolysaccharide diversity within the Pseudomonas syringae species complex. Environmental Microbiology. 22(12). 5356–5372. 15 indexed citations
14.
Jayaraman, Jay, Morgan K. Halane, Sera Choi, Honour C. McCann, & Kee Hoon Sohn. (2019). Using Bioinformatics and Molecular Biology to Streamline Construction of Effector Libraries for Phytopathogenic Pseudomonas syringae Strains. Methods in molecular biology. 1991. 1–12. 4 indexed citations
15.
McAtee, Peter, Lara Brian, Niels J. Nieuwenhuizen, et al.. (2018). Re-programming of Pseudomonas syringae pv. actinidiae gene expression during early stages of infection of kiwifruit. BMC Genomics. 19(1). 822–822. 38 indexed citations
16.
Choi, Sera, Jay Jayaraman, & Kee Hoon Sohn. (2018). Arabidopsis thaliana SOBER1 (SUPPRESSOR OF AVRBST‐ELICITED RESISTANCE 1) suppresses plant immunity triggered by multiple bacterial acetyltransferase effectors. New Phytologist. 219(1). 324–335. 13 indexed citations
17.
Jayaraman, Jay, Sera Choi, Maxim Prokchorchik, et al.. (2017). A bacterial acetyltransferase triggers immunity in Arabidopsis thaliana independent of hypersensitive response. Scientific Reports. 7(1). 3557–3557. 42 indexed citations
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Segonzac, Cécile, Toby E. Newman, Sera Choi, et al.. (2017). A Conserved EAR Motif Is Required for Avirulence and Stability of the Ralstonia solanacearum Effector PopP2 In Planta. Frontiers in Plant Science. 8. 14 indexed citations
20.
Jayaraman, Jay, et al.. (2015). Redox and hormone profiling of a Nicotiana tabacum dedifferentiated protoplast culture suggests a role for a cytokinin and gibberellin in plant totipotency. Plant Cell Tissue and Organ Culture (PCTOC). 124(2). 295–306. 9 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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