Maya Bar

63 papers and 1.4k indexed citations i.

About

Maya Bar is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Maya Bar has authored 63 papers receiving a total of 1.4k 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 (34 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 (34 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, Ilana Shtein and Gautam Anand and has published in prestigious journals such as PLoS ONE, The Plant Cell and Development.

In The Last Decade

Co-authorship network of co-authors of Maya Bar i

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.

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).

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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