Shaya Lev
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Physiology top 5%
- Pain Mechanisms and Treatments
- Calcium signaling and nucleotide metabolism
Papers in
-
- Ion Channels and Receptors 20
- Physiology 16
- Pain Mechanisms and Treatments 16
- Calcium signaling and nucleotide metabolism 4
- Co-authors
- Alexander M. Binshtok (25 shared papers)Baruch Minke (9 shared papers)Ben Katz (17 shared papers)Yaki Caspi (7 shared papers)Moshe Parnas (2 shared papers)Daniela Dadon (2 shared papers)Maximilian Peters (3 shared papers)Irena Vertkin (1 shared paper)
- Journals
- Pain (4 papers)Journal of Clinical Investigation (2 papers)Journal of Neuroscience (2 papers)Journal of Biological Chemistry (2 papers)Cell Calcium (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Shaya Lev
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Sensory Systems 339
- Physiology 101
- Cellular and Molecular Neuroscience 259
- Pharmacology 179
- Physiology 255
Countries citing papers authored by Shaya Lev
This map shows the geographic impact of Shaya Lev'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 Shaya Lev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaya Lev more than expected).
Fields of papers citing papers by Shaya Lev
This network shows the impact of papers produced by Shaya Lev. 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 Shaya Lev. The network helps show where Shaya Lev may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaya Lev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 253 | |
| 2 | 2018 | 177 | |
| 3 | 2009 | 157 | |
| 4 | 2014 | 80 | |
| 5 | 2010 | 60 | |
| 6 | 2009 | 56 | |
| 7 | 2022 | 51 | |
| 8 | 2009 | 47 | |
| 9 | 2017 | 41 | |
| 10 | 2012 | 39 | |
| 11 | 2016 | 32 | |
| 12 | 2019 | 30 | |
| 13 | 2016 | 28 | |
| 14 | 2019 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2020 | 27 | |
| 17 | 2017 | 24 | |
| 18 | 2019 | 22 | |
| 19 | 2017 | 19 | |
| 20 | 2022 | 18 |
About Shaya Lev
Shaya Lev is a scholar working on Sensory Systems, Physiology, Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion Channels and Receptors (20 papers), Pain Mechanisms and Treatments (16 papers), Ion channel regulation and function (10 papers), Neurobiology and Insect Physiology Research (6 papers), Calcium signaling and nucleotide metabolism (4 papers), Neuroscience and Neural Engineering (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Pain Management and Placebo Effect (2 papers). The work is most often cited by research in Sensory Systems (339 citations), Physiology (101 citations), Cellular and Molecular Neuroscience (259 citations), Pharmacology (179 citations) and Physiology (255 citations). Shaya Lev has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Alexander M. Binshtok, Baruch Minke, Ben Katz, Yaki Caspi, Moshe Parnas, Daniela Dadon, Maximilian Peters, Irena Vertkin, Inna Slutsky and Gideon Bach. Their work appears in journals such as Pain, Journal of Clinical Investigation, Journal of Neuroscience, Journal of Biological Chemistry and Cell Calcium.
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.