Nina Levar

15 total papers · 808 total citations
9 papers, 422 citations indexed

About

Nina Levar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nina Levar has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nina Levar's work include Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Cannabis and Cannabinoid Research (2 papers). Nina Levar is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Cannabis and Cannabinoid Research (2 papers). Nina Levar collaborates with scholars based in Netherlands and United States. Nina Levar's co-authors include Guido van Wingen, Damiaan Denys, Wim van den Brink, Pieter Ooms, Ali Mazaheri, Bart de Kwaasteniet, P. Richard Schuurman, Pepijn van den Munckhof, Judy Luigjes and Mariska Mantione and has published in prestigious journals such as Nature Neuroscience, NeuroImage and American Journal of Psychiatry.

In The Last Decade

Nina Levar

9 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nina Levar	222	183	165	112	83	9	422
Assunta Carpinelli	179 0.8×	149 0.8×	127 0.8×	188 1.7×	65 0.8×	15	481
Bart P. de Kwaasteniet	157 0.7×	84 0.5×	202 1.2×	83 0.7×	114 1.4×	8	392
Mireia Rabella	191 0.9×	151 0.8×	52 0.3×	100 0.9×	34 0.4×	12	395
Amanda Poynton	107 0.5×	191 1.0×	134 0.8×	74 0.7×	61 0.7×	13	452
Peter Fettes	244 1.1×	86 0.5×	59 0.4×	71 0.6×	138 1.7×	13	455
Maren Urner	281 1.3×	37 0.2×	167 1.0×	111 1.0×	52 0.6×	12	471
Noelwah Netusil	119 0.5×	70 0.4×	71 0.4×	142 1.3×	29 0.3×	8	434
Ruud Smolders	256 1.2×	180 1.0×	172 1.0×	99 0.9×	86 1.0×	8	455
Nicolas Baup	172 0.8×	146 0.8×	151 0.9×	145 1.3×	31 0.4×	11	408
Laura Schulze	205 0.9×	77 0.4×	52 0.3×	59 0.5×	161 1.9×	16	478

Countries citing papers authored by Nina Levar

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nina Levar

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Levar. A scholar is included among the top collaborators of Nina Levar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Levar. Nina Levar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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