Danielle Saya

16 papers and 787 indexed citations i.

About

Danielle Saya is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Danielle Saya has authored 16 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmacology. Recurrent topics in Danielle Saya’s work include Neuroscience and Neuropharmacology Research (9 papers), Neuropeptides and Animal Physiology (8 papers) and Receptor Mechanisms and Signaling (7 papers). Danielle Saya is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Neuropeptides and Animal Physiology (8 papers) and Receptor Mechanisms and Signaling (7 papers). Danielle Saya collaborates with scholars based in Israel and Italy. Danielle Saya's co-authors include Zvi Vogel, Bernard Attali, Jacob Barg, Rivka Levy, Raphael Mechoulam, Eliahu Heldman, Z. Vogel, Seung‐Yeol Nah, Zvi Vogel and Uriel Z. Littauer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Danielle Saya i

Fields of papers citing papers by Danielle Saya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danielle Saya

Since Specialization
Citations

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