Dhileepkumar Jayaraman

1.9k total citations
18 papers, 829 citations indexed

About

Dhileepkumar Jayaraman is a scholar working on Plant Science, Molecular Biology and Spectroscopy. According to data from OpenAlex, Dhileepkumar Jayaraman has authored 18 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Spectroscopy. Recurrent topics in Dhileepkumar Jayaraman's work include Legume Nitrogen Fixing Symbiosis (11 papers), Plant nutrient uptake and metabolism (9 papers) and Plant-Microbe Interactions and Immunity (5 papers). Dhileepkumar Jayaraman is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (11 papers), Plant nutrient uptake and metabolism (9 papers) and Plant-Microbe Interactions and Immunity (5 papers). Dhileepkumar Jayaraman collaborates with scholars based in United States, France and Austria. Dhileepkumar Jayaraman's co-authors include Jean‐Michel Ané, Junko Maëda, Michael R. Sussman, Lingjun Li, Douglas R. Cook, Jeong‐Hwan Mun, Annick Barre, Sebastián Schornack, Pierre Rougé and Jean‐Jacques Bono and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Dhileepkumar Jayaraman

18 papers receiving 818 citations

Peers

Dhileepkumar Jayaraman
Nick Cai United States
C. A. Hackett United Kingdom
R. A. Vierling United States
Robert L. D’Ordine United States
James G. Laskey United States
Dhileepkumar Jayaraman
Citations per year, relative to Dhileepkumar Jayaraman Dhileepkumar Jayaraman (= 1×) peers Emmanuelle Bancel

Countries citing papers authored by Dhileepkumar Jayaraman

Since Specialization
Citations

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

Fields of papers citing papers by Dhileepkumar Jayaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhileepkumar Jayaraman

This figure shows the co-authorship network connecting the top 25 collaborators of Dhileepkumar Jayaraman. A scholar is included among the top collaborators of Dhileepkumar 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 Dhileepkumar Jayaraman. Dhileepkumar Jayaraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Garcia, Kevin, Sanhita Chakraborty, Arjun Kafle, et al.. (2023). The putative transporter MtUMAMIT14 participates in nodule formation in Medicago truncatula. Scientific Reports. 13(1). 804–804. 8 indexed citations
2.
Delaux, Pierre‐Marc, Shanmugam Rajasekar, Pablo Zamora, et al.. (2022). Nitrogen fixation and mucilage production on maize aerial roots is controlled by aerial root development and border cell functions. Frontiers in Plant Science. 13. 977056–977056. 21 indexed citations
3.
Schenck, Craig A., Dhileepkumar Jayaraman, Kevin Garcia, et al.. (2020). Role of cytosolic, tyrosine‐insensitive prephenate dehydrogenase in Medicago truncatula. Plant Direct. 4(5). e00218–e00218. 13 indexed citations
4.
Shin, Junha, Harald Marx, Alicia Richards, et al.. (2020). A network-based comparative framework to study conservation and divergence of proteomes in plant phylogenies. Nucleic Acids Research. 49(1). e3–e3. 7 indexed citations
5.
Maëda, Junko, Dhileepkumar Jayaraman, Sanhita Chakraborty, et al.. (2018). Comparison of Vacuum MALDI and AP-MALDI Platforms for the Mass Spectrometry Imaging of Metabolites Involved in Salt Stress in Medicago truncatula. Frontiers in Plant Science. 9. 1238–1238. 56 indexed citations
6.
Jayaraman, Dhileepkumar, Junko Maëda, Pierre‐Marc Delaux, et al.. (2018). A Novel Positive Regulator of the Early Stages of Root Nodule Symbiosis Identified by Phosphoproteomics. Plant and Cell Physiology. 60(3). 575–586. 5 indexed citations
7.
Ranjan, Ashish, Dhileepkumar Jayaraman, C. R. Grau, et al.. (2017). The pathogenic development of Sclerotinia sclerotiorum in soybean requires specific host NADPH oxidases. Molecular Plant Pathology. 19(3). 700–714. 58 indexed citations
8.
Jayaraman, Dhileepkumar, Alicia Richards, Michael S. Westphall, Joshua J. Coon, & Jean‐Michel Ané. (2017). Identification of the phosphorylation targets of symbiotic receptor‐like kinases using a high‐throughput multiplexed assay for kinase specificity. The Plant Journal. 90(6). 1196–1207. 8 indexed citations
9.
Marx, Harald, Catherine E. Minogue, Dhileepkumar Jayaraman, et al.. (2016). A proteomic atlas of the legume Medicago truncatula and its nitrogen-fixing endosymbiont Sinorhizobium meliloti. Nature Biotechnology. 34(11). 1198–1205. 96 indexed citations
10.
Jayaraman, Dhileepkumar, et al.. (2016). Mass Spectrometric-Based Selected Reaction Monitoring of Protein Phosphorylation during Symbiotic Signaling in the Model Legume, Medicago truncatula. PLoS ONE. 11(5). e0155460–e0155460. 12 indexed citations
11.
Gemperline, Erin, Dhileepkumar Jayaraman, Junko Maëda, et al.. (2016). Examination of Endogenous Peptides in Medicago truncatula Using Mass Spectrometry Imaging. Journal of Proteome Research. 15(12). 4403–4411. 28 indexed citations
12.
Venkateshwaran, Muthusubramanian, Dhileepkumar Jayaraman, Mireille Chabaud, et al.. (2015). A role for the mevalonate pathway in early plant symbiotic signaling. Proceedings of the National Academy of Sciences. 112(31). 9781–9786. 87 indexed citations
13.
Jayaraman, Dhileepkumar, Simon Gilroy, & Jean‐Michel Ané. (2014). Staying in touch: mechanical signals in plant–microbe interactions. Current Opinion in Plant Biology. 20. 104–109. 31 indexed citations
14.
Jayaraman, Dhileepkumar, Oswaldo Valdés‐López, Charles W. Kaspar, & Jean‐Michel Ané. (2014). Response of Medicago truncatula Seedlings to Colonization by Salmonella enterica and Escherichia coli O157:H7. PLoS ONE. 9(2). e87970–e87970. 18 indexed citations
15.
Gemperline, Erin, Dhileepkumar Jayaraman, Junko Maëda, Jean‐Michel Ané, & Lingjun Li. (2014). Multifaceted Investigation of Metabolites During Nitrogen Fixation in Medicago via High Resolution MALDI-MS Imaging and ESI-MS. Journal of the American Society for Mass Spectrometry. 26(1). 149–158. 46 indexed citations
16.
Jayaraman, Dhileepkumar, et al.. (2012). Leveraging Proteomics to Understand Plant–Microbe Interactions. Frontiers in Plant Science. 3. 44–44. 37 indexed citations
17.
Kevei, Zoltán, Peter Mergaert, Gábor V. Horváth, et al.. (2007). 3-Hydroxy-3-Methylglutaryl Coenzyme A Reductase1 Interacts with NORK and Is Crucial for Nodulation in Medicago truncatula. The Plant Cell. 19(12). 3974–3989. 108 indexed citations
18.
Mun, Jeong‐Hwan, Dhileepkumar Jayaraman, Pierre Rougé, et al.. (2007). A Novel Nuclear Protein Interacts With the Symbiotic DMI3 Calcium- and Calmodulin-Dependent Protein Kinase of Medicago truncatula. Molecular Plant-Microbe Interactions. 20(8). 912–921. 190 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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