Maya Ketzef
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Genetic Neurodegenerative Diseases
- Neurology top 10%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Neuroscience and Neuropharmacology Research 6
- Neuroscience and Neural Engineering 4
- Genetic Neurodegenerative Diseases 2
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- Neurological disorders and treatments 6
- Amyotrophic Lateral Sclerosis Research 1
- Transcranial Magnetic Stimulation Studies 1
- Co-authors
- Gilad Silberberg (6 shared papers)Alon Friedman (5 shared papers)Albert J. Becker (2 shared papers)Yvonne Johansson (2 shared papers)David Greenberg (1 shared paper)Hermona Soreq (1 shared paper)Daniel Gitler (2 shared papers)Galit Shaltiel (1 shared paper)
In The Last Decade
Maya Ketzef
13 papers receiving 482 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 250
- Neurology 133
- Neurology 43
- Cognitive Neuroscience 99
- Biological Psychiatry 7
Countries citing papers authored by Maya Ketzef
This map shows the geographic impact of Maya Ketzef'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 Maya Ketzef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Ketzef more than expected).
Fields of papers citing papers by Maya Ketzef
This network shows the impact of papers produced by Maya Ketzef. 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 Maya Ketzef. The network helps show where Maya Ketzef may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Ketzef, 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 | 2012 | 129 | |
| 2 | 2017 | 63 | |
| 3 | 2015 | 62 | |
| 4 | 2020 | 58 | |
| 5 | 2015 | 50 | |
| 6 | 2011 | 42 | |
| 7 | 2018 | 25 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2012 | 11 | |
| 12 | 2018 | 5 | |
| 13 | 2014 | 1 |
About Maya Ketzef
Maya Ketzef is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Molecular Biology and Oncology, having authored 13 papers that have together received 486 indexed citations. Recurring topics across this work include Neurological disorders and treatments (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (4 papers), Neural dynamics and brain function (4 papers), Epilepsy research and treatment (2 papers), Genetic Neurodegenerative Diseases (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (250 citations), Neurology (133 citations), Neurology (43 citations), Cognitive Neuroscience (99 citations) and Biological Psychiatry (7 citations). Maya Ketzef has collaborated with scholars based in Sweden, Israel and Germany. Frequent co-authors include Gilad Silberberg, Alon Friedman, Albert J. Becker, Yvonne Johansson, David Greenberg, Hermona Soreq, Daniel Gitler, Galit Shaltiel, Amit Berson and Geula Hanin. Their work appears in journals such as Neuroscience, Neuron, Nature Communications, Journal of Neuroimmunology and Cell Reports.
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.