Irit Akirav

68 papers and 3.5k indexed citations i.

About

Irit Akirav is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Irit Akirav has authored 68 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cellular and Molecular Neuroscience, 45 papers in Pharmacology and 34 papers in Cognitive Neuroscience. Recurrent topics in Irit Akirav’s work include Cannabis and Cannabinoid Research (45 papers), Neuroscience and Neuropharmacology Research (43 papers) and Stress Responses and Cortisol (26 papers). Irit Akirav is often cited by papers focused on Cannabis and Cannabinoid Research (45 papers), Neuroscience and Neuropharmacology Research (43 papers) and Stress Responses and Cortisol (26 papers). Irit Akirav collaborates with scholars based in Israel, United States and Germany. Irit Akirav's co-authors include Gal Richter‐Levin, Mouna Maroun, Hila Abush, Eti Ganon-Elazar, Amir Segev, Tomer Mizrachi Zer‐Aviv, Nachshon Korem, Carmen Sandi, Cecilia J. Hillard and César Venero and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Irit Akirav i

Fields of papers citing papers by Irit Akirav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Irit Akirav

Since Specialization
Citations

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