A. Gal
Impact in
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
-
- Neuroscience and Neural Engineering 6
- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 5
-
- Neural dynamics and brain function 7
- Co-authors
- Shimon Marom (7 shared papers)Dotan Di Castro (1 shared paper)Avinoam Kolodny (1 shared paper)Shahar Kvatinsky (1 shared paper)Daniel Soudry (1 shared paper)Danny Eytan (4 shared papers)Daniel J. C. Kronauer (5 shared papers)Avner Wallach (2 shared papers)
- Journals
- Human Genetics (4 papers)Journal of Neuroscience (3 papers)Journal of Inherited Metabolic Disease (2 papers)Molecular Psychiatry (2 papers)Clinical Genetics (2 papers)
- Partner nations
- GermanyIsraelNetherlands
In The Last Decade
A. Gal
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 369
- Cognitive Neuroscience 298
- Genetics 176
- Neurology 44
- Cell Biology 82
Countries citing papers authored by A. Gal
This map shows the geographic impact of A. Gal'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 A. Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Gal more than expected).
Fields of papers citing papers by A. Gal
This network shows the impact of papers produced by A. Gal. 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 A. Gal. The network helps show where A. Gal may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Gal, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 229 | |
| 2 | 2010 | 81 | |
| 3 | 2008 | 63 | |
| 4 | 1986 | 57 | |
| 5 | 1985 | 45 | |
| 6 | 2020 | 41 | |
| 7 | 2006 | 39 | |
| 8 | 2011 | 37 | |
| 9 | 1991 | 32 | |
| 10 | 1993 | 32 | |
| 11 | 1993 | 32 | |
| 12 | 2010 | 32 | |
| 13 | 2013 | 31 | |
| 14 | 2013 | 30 | |
| 15 | 1995 | 27 | |
| 16 | 2014 | 25 | |
| 17 | 1996 | 24 | |
| 18 | 2021 | 24 | |
| 19 | 1994 | 19 | |
| 20 | 2021 | 19 |
About A. Gal
A. Gal is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Cell Biology and Genetics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (8 papers), Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (6 papers), melanin and skin pigmentation (5 papers), Insect and Arachnid Ecology and Behavior (5 papers), Neurological diseases and metabolism (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (369 citations), Cognitive Neuroscience (298 citations), Genetics (176 citations), Neurology (44 citations) and Cell Biology (82 citations). A. Gal has collaborated with scholars based in Germany, Israel and Netherlands. Frequent co-authors include Shimon Marom, Dotan Di Castro, Avinoam Kolodny, Shahar Kvatinsky, Daniel Soudry, Danny Eytan, Daniel J. C. Kronauer, Avner Wallach, T. F. Wienker and Christoph Zrenner. Their work appears in journals such as Human Genetics, Journal of Neuroscience, Journal of Inherited Metabolic Disease, Molecular Psychiatry and Clinical Genetics.
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.