Aruna Kilaru

2.6k total citations
41 papers, 1.8k citations indexed

About

Aruna Kilaru is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Aruna Kilaru has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 21 papers in Molecular Biology and 20 papers in Biochemistry. Recurrent topics in Aruna Kilaru's work include Lipid metabolism and biosynthesis (20 papers), Cannabis and Cannabinoid Research (11 papers) and Plant biochemistry and biosynthesis (10 papers). Aruna Kilaru is often cited by papers focused on Lipid metabolism and biosynthesis (20 papers), Cannabis and Cannabinoid Research (11 papers) and Plant biochemistry and biosynthesis (10 papers). Aruna Kilaru collaborates with scholars based in United States, China and France. Aruna Kilaru's co-authors include John B. Ohlrogge, Kent D. Chapman, Xia Cao, Vincent Arondel, Nicholas Thrower, Noureddine Drira, Fabienne Bourgis, Robert T. Mullen, John M. Dyer and Barney J. Venables and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Aruna Kilaru

40 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aruna Kilaru United States 21 985 954 936 214 150 41 1.8k
Hyun Uk Kim South Korea 33 2.0k 2.0× 2.2k 2.3× 1.1k 1.2× 58 0.3× 143 1.0× 116 3.2k
Daifu Ma China 29 1.0k 1.1× 1.6k 1.7× 147 0.2× 41 0.2× 70 0.5× 81 2.5k
Kathryn Lardizabal United States 8 1.3k 1.3× 521 0.5× 1.4k 1.5× 86 0.4× 178 1.2× 10 2.1k
Supaart Sirikantaramas Thailand 22 1.0k 1.0× 985 1.0× 77 0.1× 665 3.1× 47 0.3× 66 1.8k
Xiao Qiu Canada 24 1.2k 1.2× 428 0.4× 986 1.1× 29 0.1× 180 1.2× 42 1.8k
Ángel Mérida Spain 23 1.1k 1.2× 1.4k 1.4× 111 0.1× 22 0.1× 245 1.6× 35 2.2k
Masataka Kajikawa Japan 22 868 0.9× 640 0.7× 193 0.2× 36 0.2× 32 0.2× 42 1.3k
Sagit Meir Israel 24 1.6k 1.6× 1.7k 1.8× 52 0.1× 72 0.3× 114 0.8× 45 2.8k
Zhesi He United Kingdom 21 1.2k 1.2× 1.3k 1.4× 252 0.3× 229 1.1× 39 0.3× 33 2.0k
Ilse Balbo Germany 18 1.5k 1.5× 1.4k 1.4× 361 0.4× 20 0.1× 115 0.8× 18 2.3k

Countries citing papers authored by Aruna Kilaru

Since Specialization
Citations

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

Fields of papers citing papers by Aruna Kilaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruna Kilaru

This figure shows the co-authorship network connecting the top 25 collaborators of Aruna Kilaru. A scholar is included among the top collaborators of Aruna Kilaru 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 Aruna Kilaru. Aruna Kilaru 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.
Liu, Hui Jun, et al.. (2024). Functional role of DFR genes in various blue Iris for the regulation of delphinidin synthesis. Plant Physiology and Biochemistry. 219. 109355–109355. 1 indexed citations
2.
3.
Kilaru, Aruna, Yuhui Zhai, Lihang Xie, et al.. (2021). A Tree Peony Trihelix Transcription Factor PrASIL1 Represses Seed Oil Accumulation. Frontiers in Plant Science. 12. 796181–796181. 15 indexed citations
4.
5.
Vanhercke, Thomas, John M. Dyer, Robert T. Mullen, et al.. (2019). Metabolic engineering for enhanced oil in biomass. Progress in Lipid Research. 74. 103–129. 103 indexed citations
6.
Wang, Ling, Yu Du, Md. Mahbubur Rahman, et al.. (2018). Establishment of an efficient in vitro propagation system for Iris sanguinea. Scientific Reports. 8(1). 17100–17100. 23 indexed citations
7.
Shinde, Suhas, Shivakumar P. Devaiah, & Aruna Kilaru. (2017). Profiling Abscisic Acid-Induced Changes in Fatty Acid Composition in Mosses. Methods in molecular biology. 1631. 295–303. 1 indexed citations
8.
Kilaru, Aruna & John B. Ohlrogge. (2015). Comparative Transcriptomics Identifies Key Steps in Storage Oil Biosynthesis in Plant Tissues. Digital Commons - East Tennessee State University (East Tennessee State University). 1 indexed citations
9.
Kilaru, Aruna, Xia Cao, Md. Mahbubur Rahman, et al.. (2015). Oil biosynthesis in a basal angiosperm: transcriptome analysis of Persea Americana mesocarp. BMC Plant Biology. 15(1). 203–203. 78 indexed citations
10.
Ibarra‐Laclette, Enrique, Alfonso Méndez‐Bravo, Claudia Pérez-Torres, et al.. (2015). Deep sequencing of the Mexican avocado transcriptome, an ancient angiosperm with a high content of fatty acids. BMC Genomics. 16(1). 599–599. 48 indexed citations
11.
Ma, Wei, Que Kong, Vincent Arondel, et al.. (2013). WRINKLED1, A Ubiquitous Regulator in Oil Accumulating Tissues from Arabidopsis Embryos to Oil Palm Mesocarp. PLoS ONE. 8(7). e68887–e68887. 120 indexed citations
12.
Horn, Patrick J., Christopher N. James, Satinder K. Gidda, et al.. (2013). Identification of a New Class of Lipid Droplet-Associated Proteins in Plants   . PLANT PHYSIOLOGY. 162(4). 1926–1936. 168 indexed citations
13.
Kilaru, Aruna, Pamela Tamura, Giorgis Isaac, et al.. (2012). Lipidomic analysis of N-acylphosphatidylethanolamine molecular species in Arabidopsis suggests feedback regulation by N-acylethanolamines. Planta. 236(3). 809–824. 20 indexed citations
14.
Keereetaweep, Jantana, Aruna Kilaru, Yuh‐Shuh Wang, et al.. (2012). Overexpression of Fatty Acid Amide Hydrolase Induces Early Flowering in Arabidopsis thaliana. Frontiers in Plant Science. 3. 32–32. 33 indexed citations
15.
Kilaru, Aruna, Cornelia Herrfurth, Jantana Keereetaweep, et al.. (2011). Lipoxygenase-mediated Oxidation of Polyunsaturated N-Acylethanolamines in Arabidopsis. Journal of Biological Chemistry. 286(17). 15205–15214. 27 indexed citations
16.
Troncoso-Ponce, Manuel Adrián, Aruna Kilaru, Xia Cao, et al.. (2011). Comparative deep transcriptional profiling of four developing oilseeds. The Plant Journal. 68(6). 1014–1027. 226 indexed citations
17.
Keereetaweep, Jantana, Aruna Kilaru, Ivo Feußner, Barney J. Venables, & Kent D. Chapman. (2010). Lauroylethanolamide is a potent competitive inhibitor of lipoxygenase activity. FEBS Letters. 584(14). 3215–3222. 15 indexed citations
18.
Motes, Christy M., Yuhong Tang, Yuh‐Shuh Wang, et al.. (2007). N-Acylethanolamine Metabolism Interacts with Abscisic Acid Signaling inArabidopsis thalianaSeedlings. The Plant Cell. 19(8). 2454–2469. 55 indexed citations
19.
Kilaru, Aruna, Bryan A. Bailey, & Karl H. Hasenstein. (2007). Moniliophthora perniciosaproduces hormones and alters endogenous auxin and salicylic acid in infected cocoa leaves. FEMS Microbiology Letters. 274(2). 238–244. 39 indexed citations
20.
Wang, Yuh‐Shuh, et al.. (2006). Manipulation of Arabidopsis fatty acid amide hydrolase expression modifies plant growth and sensitivity to N -acylethanolamines. Proceedings of the National Academy of Sciences. 103(32). 12197–12202. 66 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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