Moshe Rapp
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 1
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- Neural dynamics and brain function 3
- Co-authors
- Idan Segev (4 shared papers)Yosef Yarom (3 shared papers)Christof Koch (1 shared paper)Justin C. Brown (1 shared paper)Daniel B. Roth (1 shared paper)Tova Lifshitz (1 shared paper)Sam E. Mansour (1 shared paper)Omer Rafaeli (1 shared paper)
- Journals
- Cerebral Cortex (1 paper)Retina (1 paper)Neural Computation (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Physiology (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Moshe Rapp
5 papers receiving 522 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 431
- Cellular and Molecular Neuroscience 349
- Sensory Systems 30
- Statistical and Nonlinear Physics 74
- Neurology 45
Countries citing papers authored by Moshe Rapp
This map shows the geographic impact of Moshe Rapp'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 Moshe Rapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Rapp more than expected).
Fields of papers citing papers by Moshe Rapp
This network shows the impact of papers produced by Moshe Rapp. 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 Moshe Rapp. The network helps show where Moshe Rapp may publish in the future.
Co-authors
The 14 scholars most cited alongside Moshe Rapp, 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 | 1996 | 155 | |
| 2 | 1994 | 145 | |
| 3 | 1992 | 108 | |
| 4 | 1996 | 92 | |
| 5 | 2010 | 33 |
About Moshe Rapp
Moshe Rapp is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 533 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), Ion channel regulation and function (1 paper), Retinal Diseases and Treatments (1 paper), Retinal and Optic Conditions (1 paper), Photoreceptor and optogenetics research (1 paper) and Vestibular and auditory disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (431 citations), Cellular and Molecular Neuroscience (349 citations), Sensory Systems (30 citations), Statistical and Nonlinear Physics (74 citations) and Neurology (45 citations). Moshe Rapp has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Idan Segev, Yosef Yarom, Christof Koch, Justin C. Brown, Daniel B. Roth, Tova Lifshitz, Sam E. Mansour, Omer Rafaeli, Moshe Havilio and Yaron Lang. Their work appears in journals such as Cerebral Cortex, Retina, Neural Computation, Proceedings of the National Academy of Sciences and The Journal of Physiology.
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.