Maya Bar

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 1.3k 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 Chile. Maya Bar's co-authors include Meirav Leibman‐Markus, Adi Avni, Rupali Gupta, Lorena Pizarro and Naomi Ori and has published in prestigious journals such as PLoS ONE, The Plant Cell and Development.

In The Last Decade

Fields of papers citing papers by Maya Bar

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Maya Bar. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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