Maya Bar

2.2k citations
67 papers · 1.8k · h-index 23

Impact in

    • Plant-Microbe Interactions and Immunity
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant Pathogenic Bacteria Studies
    • Plant nutrient uptake and metabolism
    • Cellular transport and secretion
    • Plant Pathogens and Fungal Diseases

Papers in

    • Plant-Microbe Interactions and Immunity 41
    • Plant Molecular Biology Research 15
    • Plant Pathogenic Bacteria Studies 3
    • Nematode management and characterization studies 1
    • Cellular transport and secretion 8

Maya Bar

61 papers receiving 1.7k citations

Peers

Maya Bar
Comparison fields: 5 of 66
  • Plant Science 1.5k
  • Cell Biology 191
  • Insect Science 41
  • Ecology, Evolution, Behavior and Systematics 54
  • Biotechnology 17
Replace Cahid Çakir with:
Cahid Çakir United States
Amy G. Anchieta United States
Salim Bourras Switzerland
Maryam Rafiqi Australia
Joost Stassen Netherlands
Eduard Venter South Africa
Malick Mbengué France
Leila M. Blackman Australia
Michel Meyer France
Weixing Shan China
Maya Bar relative to Cahid Çakir United States Cahid Çakir's profile →
Citations per field
00.5×2×3×4.2×
Cahid Çakir · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Maya Bar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maya Bar Line = papers co-authored together Maya Bar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014212
2 2010137
3 201492
4 200989
5 201173
6 202070
7 201665
8 202160
9 201647
10 200846
11 201646
12 200944
13 201944
14 201940
15 201934
16 202233
17 202032
18 201830
19 202028
20 202127

About Maya Bar

Maya Bar is a scholar working on Plant Science, Cell Biology, Immunology, Biotechnology and Insect Science, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (41 papers), Plant Molecular Biology Research (15 papers), Cellular transport and secretion (8 papers), Plant Pathogenic Bacteria Studies (3 papers), Immune Response and Inflammation (2 papers), Insect-Plant Interactions and Control (1 paper), Nematode management and characterization studies (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Plant Science (1.5k citations), Cell Biology (191 citations), Insect Science (41 citations), Ecology, Evolution, Behavior and Systematics (54 citations) and Biotechnology (17 citations). Maya Bar has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Naomi Ori, Adi Avni, Meirav Leibman‐Markus, Rupali Gupta, Lorena Pizarro, Silvia Schuster, Mily Ron, Matan Levy, Gautam Anand and Ilana Shtein. Their work appears in journals such as The Plant Journal, Plant Signaling & Behavior, Molecular Plant Pathology, Plant Stress and Plant Cell & Environment.

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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