Nina Levar
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Neurology top 10%
- Neurological disorders and treatments
- Transcranial Magnetic Stimulation Studies
Papers in
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- Neuroscience and Neuropharmacology Research 3
- Neurotransmitter Receptor Influence on Behavior 2
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- Memory and Neural Mechanisms 2
- Functional Brain Connectivity Studies 2
- Co-authors
- Guido van Wingen (6 shared papers)Damiaan Denys (5 shared papers)Wim van den Brink (3 shared papers)Bart de Kwaasteniet (2 shared papers)Martijn Figee (2 shared papers)Nienke Vulink (2 shared papers)Mariska Mantione (2 shared papers)Pepijn van den Munckhof (2 shared papers)
- Journals
- Nature Neuroscience (2 papers)NeuroImage (2 papers)Scientific Reports (1 paper)Cannabis and Cannabinoid Research (1 paper)American Journal of Psychiatry (1 paper)
- Partner nations
- NetherlandsUnited States
In The Last Decade
Nina Levar
9 papers receiving 417 citations
Peers
Comparison fields: 5 of 46
- Cognitive Neuroscience 225
- Neurology 166
- Neurology 84
- Clinical Psychology 184
- Cellular and Molecular Neuroscience 112
Countries citing papers authored by Nina Levar
This map shows the geographic impact of Nina Levar'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 Nina Levar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Levar more than expected).
Fields of papers citing papers by Nina Levar
This network shows the impact of papers produced by Nina Levar. 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 Nina Levar. The network helps show where Nina Levar may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Levar, 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 | 2013 | 315 | |
| 2 | 2019 | 28 | |
| 3 | 2018 | 19 | |
| 4 | 2017 | 18 | |
| 5 | 2017 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2016 | 11 | |
| 8 | 2019 | 4 | |
| 9 | 2014 | 1 |
About Nina Levar
Nina Levar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Pharmacology and Neurology, having authored 9 papers that have together received 423 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Memory and Neural Mechanisms (2 papers), Functional Brain Connectivity Studies (2 papers), Neurological disorders and treatments (2 papers), Cannabis and Cannabinoid Research (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Cognitive Neuroscience (225 citations), Neurology (166 citations), Neurology (84 citations), Clinical Psychology (184 citations) and Cellular and Molecular Neuroscience (112 citations). Nina Levar has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Guido van Wingen, Damiaan Denys, Wim van den Brink, Bart de Kwaasteniet, Martijn Figee, Nienke Vulink, Mariska Mantione, Pepijn van den Munckhof, Aart J. Nederveen and P. Richard Schuurman. Their work appears in journals such as Nature Neuroscience, NeuroImage, Scientific Reports, Cannabis and Cannabinoid Research and American Journal of Psychiatry.
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.