Danielle Saya
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
Papers in
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- Receptor Mechanisms and Signaling 7
- Ion channel regulation and function 2
- Pharmacological Receptor Mechanisms and Effects 2
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- Neuroscience and Neuropharmacology Research 9
- Neuropeptides and Animal Physiology 8
- Neurotransmitter Receptor Influence on Behavior 2
- Co-authors
- Zvi Vogel (4 shared papers)Bernard Attali (5 shared papers)Jacob Barg (7 shared papers)Rivka Levy (4 shared papers)Raphael Mechoulam (2 shared papers)Eliahu Heldman (2 shared papers)Z. Vogel (6 shared papers)Seung‐Yeol Nah (5 shared papers)
In The Last Decade
Danielle Saya
16 papers receiving 776 citations
Peers
Comparison fields: 5 of 63
- Cellular and Molecular Neuroscience 535
- Toxicology 76
- Pharmacology 349
- Endocrine and Autonomic Systems 55
- Molecular Biology 365
Countries citing papers authored by Danielle Saya
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).
Fields of papers citing papers by Danielle Saya
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.
Co-authors
The 21 scholars most cited alongside Danielle Saya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 265 | |
| 2 | 1989 | 106 | |
| 3 | 1989 | 91 | |
| 4 | 1995 | 62 | |
| 5 | 1990 | 53 | |
| 6 | 1995 | 45 | |
| 7 | 1979 | 41 | |
| 8 | 1994 | 38 | |
| 9 | 1980 | 26 | |
| 10 | 1993 | 21 | |
| 11 | 1993 | 13 | |
| 12 | 1993 | 11 | |
| 13 | 1971 | 8 | |
| 14 | 1993 | 7 | |
| 15 | Expression and regulation of kappa opiate receptors in rat spinal cord-dorsal root ganglion cocultures. | 1986 | 3 |
| 16 | 1994 | 2 |
About Danielle Saya
Danielle Saya is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Surgery, having authored 16 papers that have together received 792 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (7 papers), Pain Mechanisms and Treatments (3 papers), Cannabis and Cannabinoid Research (3 papers), Ion channel regulation and function (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (535 citations), Toxicology (76 citations), Pharmacology (349 citations), Endocrine and Autonomic Systems (55 citations) and Molecular Biology (365 citations). Danielle Saya has collaborated with scholars based in Israel and Italy. Frequent 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. Their work appears in journals such as Journal of Neurochemistry, Brain Research, Journal of Pharmacology and Experimental Therapeutics, FEBS Letters and Developmental Brain Research.
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.