Shunit Gal-Ben-Ari

About

Shunit Gal-Ben-Ari is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Shunit Gal-Ben-Ari has authored 9 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Shunit Gal-Ben-Ari’s work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (3 papers) and RNA and protein synthesis mechanisms (2 papers). Shunit Gal-Ben-Ari is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (3 papers) and RNA and protein synthesis mechanisms (2 papers). Shunit Gal-Ben-Ari collaborates with scholars based in Israel, United Kingdom and Italy. Shunit Gal-Ben-Ari's co-authors include Kobi Rosenblum, Iliana Barrera, Marcelo Ehrlich, Tali Rosenberg, Noam Ziv, Daniela C. Dieterich, Eckart D. Gundelfinger, Michael R. Kreutz, Rachel Karry and Dorit Ben‐Shachar and has published in prestigious journals such as Learning & Memory, Neurobiology of Learning and Memory and The International Journal of Neuropsychopharmacology.

In The Last Decade

Co-authorship network of co-authors of Shunit Gal-Ben-Ari i

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Fields of papers citing papers by Shunit Gal-Ben-Ari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shunit Gal-Ben-Ari. 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 Shunit Gal-Ben-Ari. The network helps show where Shunit Gal-Ben-Ari may publish in the future.

Countries citing papers authored by Shunit Gal-Ben-Ari

Since Specialization

Citations

This map shows the geographic impact of Shunit Gal-Ben-Ari'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 Shunit Gal-Ben-Ari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunit Gal-Ben-Ari 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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