Maya Donyo

9 papers and 454 indexed citations i.

About

Maya Donyo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Maya Donyo has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Maya Donyo’s work include Hereditary Neurological Disorders (5 papers), Signaling Pathways in Disease (4 papers) and RNA modifications and cancer (3 papers). Maya Donyo is often cited by papers focused on Hereditary Neurological Disorders (5 papers), Signaling Pathways in Disease (4 papers) and RNA modifications and cancer (3 papers). Maya Donyo collaborates with scholars based in Israel, United States and Germany. Maya Donyo's co-authors include Dror Hollander, Galit Lev-Maor, Tal Pupko, Gil Ast, Schraga Schwartz, David Burstein, Amir Goren, Sahar Gelfman, Maayan Amit and Eddo Kim and has published in prestigious journals such as Nature Communications, PLoS ONE and Genome Research.

In The Last Decade

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

Fields of papers citing papers by Maya Donyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Donyo

Since Specialization
Citations

This map shows the geographic impact of Maya Donyo'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 Donyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Donyo 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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2025