Maya Bar

2.2k total citations
64 papers, 1.5k citations indexed

About

Maya Bar is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Maya Bar has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 35 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in Maya Bar's work include Plant-Microbe Interactions and Immunity (33 papers), Plant Reproductive Biology (24 papers) and Plant Parasitism and Resistance (18 papers). Maya Bar is often cited by papers focused on Plant-Microbe Interactions and Immunity (33 papers), Plant Reproductive Biology (24 papers) and Plant Parasitism and Resistance (18 papers). Maya Bar collaborates with scholars based in Israel, United States and France. Maya Bar's co-authors include Naomi Ori, Adi Avni, Meirav Leibman‐Markus, Rupali Gupta, Lorena Pizarro, Silvia Schuster, M. Ron, Matan Levy, Gautam Anand and Ilana Shtein and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Maya Bar

59 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Bar Israel 21 1.3k 695 194 96 59 64 1.5k
Hiroyasu Motose Japan 20 1.6k 1.3× 1.3k 1.9× 104 0.5× 66 0.7× 27 0.5× 46 1.8k
Dimitar Douchkov Germany 18 1.4k 1.1× 614 0.9× 169 0.9× 34 0.4× 70 1.2× 33 1.6k
Gert van Arkel Netherlands 11 1.3k 1.0× 569 0.8× 135 0.7× 31 0.3× 50 0.8× 13 1.4k
Robin J. Horst Germany 12 939 0.7× 633 0.9× 144 0.7× 42 0.4× 28 0.5× 12 1.1k
Isabelle Vanhoutte Belgium 16 1.4k 1.1× 1.0k 1.5× 110 0.6× 27 0.3× 65 1.1× 18 1.6k
Chunlei Tang China 20 1.2k 1.0× 502 0.7× 171 0.9× 20 0.2× 45 0.8× 38 1.3k
Bethany Huot United States 7 1.6k 1.3× 531 0.8× 124 0.6× 172 1.8× 262 4.4× 8 1.8k
Vianey Olmedo‐Monfil Mexico 13 982 0.8× 601 0.9× 146 0.8× 157 1.6× 39 0.7× 16 1.2k
Valérie Laval France 18 869 0.7× 357 0.5× 328 1.7× 68 0.7× 86 1.5× 34 1.1k
Barry S. Flinn United States 22 1.2k 0.9× 828 1.2× 91 0.5× 112 1.2× 28 0.5× 43 1.4k

Countries citing papers authored by Maya Bar

Since Specialization
Citations

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

Fields of papers citing papers by Maya Bar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Bar

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Bar. A scholar is included among the top collaborators of Maya Bar 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 Maya Bar. Maya Bar 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.
Elad, Yigal, Ellen R. Gräber, Rupali Gupta, et al.. (2025). Melanoidins promote plant disease resistance, immunity and growth, through the salicylic acid pathway. Plant Stress. 19. 101173–101173.
2.
Sede, Ana R., Meirav Leibman‐Markus, Rupali Gupta, et al.. (2025). Control of tomato brown rugose fruit virus (ToBRFV) in tomato plants using in vivo synthesized dsRNA. Journal of Experimental Botany. 77(3). 865–879.
3.
Gupta, Rupali, Ravindran Keppanan, Meirav Leibman‐Markus, et al.. (2024). Bacillus thuringiensis promotes systemic immunity in tomato, controlling pests and pathogens and promoting yield. Food Security. 16(3). 675–690. 8 indexed citations
4.
Gupta, Rupali, et al.. (2024). Employing Bacillus and Pseudomonas for phytonematode management in agricultural crops. World Journal of Microbiology and Biotechnology. 40(11). 331–331. 1 indexed citations
5.
Leibman‐Markus, Meirav, Rupali Gupta, Alon Israeli, et al.. (2024). Abolishing ARF8A activity promotes disease resistance in tomato. Plant Science. 343. 112064–112064.
6.
Gupta, Rupali, et al.. (2023). Tobamovirus infection aggravates gray mold disease caused by Botrytis cinerea by manipulating the salicylic acid pathway in tomato. Frontiers in Plant Science. 14. 1196456–1196456. 5 indexed citations
7.
Gupta, Rupali, Gautam Anand, Meirav Leibman‐Markus, et al.. (2023). TOR coordinates cytokinin and gibberellin signals mediating development and defense. Plant Cell & Environment. 47(2). 629–650. 13 indexed citations
8.
Jiménez‐Guerrero, Irene, Francisco Pérez‐Montaño, Meirav Leibman‐Markus, et al.. (2023). Natural variation in a short region of the Acidovorax citrulli type III‐secreted effector AopW1 is associated with differences in cytotoxicity and host adaptation. The Plant Journal. 117(2). 516–540. 4 indexed citations
9.
Leibman‐Markus, Meirav, Rupali Gupta, Silvia Schuster, Adi Avni, & Maya Bar. (2023). Members of the tomato NRC4 h-NLR family augment each other in promoting basal immunity. Plant Science. 330. 111632–111632. 5 indexed citations
10.
Levy, Matan, Alon Israeli, Maya Bar, et al.. (2022). The VIL gene CRAWLING ELEPHANT controls maturation and differentiation in tomato via polycomb silencing. PLoS Genetics. 18(3). e1009633–e1009633. 4 indexed citations
11.
Anand, Gautam, et al.. (2022). Cytokinin production and sensing in fungi. Microbiological Research. 262. 127103–127103. 13 indexed citations
12.
Gupta, Rupali, Gautam Anand, Lorena Pizarro, et al.. (2021). Cytokinin Inhibits Fungal Development and Virulence by Targeting the Cytoskeleton and Cellular Trafficking. mBio. 12(5). e0306820–e0306820. 19 indexed citations
13.
Israeli, Alon, Yogev Burko, Sharona Shleizer-Burko, et al.. (2021). Coordinating the morphogenesis-differentiation balance by tweaking the cytokinin-gibberellin equilibrium. PLoS Genetics. 17(4). e1009537–e1009537. 14 indexed citations
14.
Gupta, Rupali, et al.. (2020). Cytokinin response induces immunity and fungal pathogen resistance, and modulates trafficking of the PRR LeEIX2 in tomato. Molecular Plant Pathology. 21(10). 1287–1306. 57 indexed citations
15.
Levy, Matan, et al.. (2016). Hormones in tomato leaf development. Developmental Biology. 419(1). 132–142. 61 indexed citations
16.
Bar, Maya, Alon Israeli, Matan Levy, et al.. (2016). CLAUSA is a MYB Transcription Factor that Promotes Leaf Differentiation by Attenuating Cytokinin Signaling. The Plant Cell. 28(7). tpc.00211.2016–tpc.00211.2016. 44 indexed citations
17.
Bar, Maya & Adi Avni. (2014). Endosomal trafficking and signaling in plant defense responses. Current Opinion in Plant Biology. 22. 86–92. 10 indexed citations
18.
Bar, Maya, et al.. (2013). EHD1 Functions in Endosomal Recycling and Confers Salt Tolerance. PLoS ONE. 8(1). e54533–e54533. 17 indexed citations
19.
Bar, Maya, et al.. (2011). Endosomal signaling of the tomato leucine‐rich repeat receptor‐like protein LeEix2. The Plant Journal. 68(3). 413–423. 61 indexed citations
20.
Bar, Maya, et al.. (2008). AtEHDs, novel Arabidopsis EH‐domain‐containing proteins involved in endocytosis. The Plant Journal. 55(6). 1025–1038. 39 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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