Noa Raz

1.7k citations
33 papers · 1.4k · h-index 15

Impact in

Papers in

Noa Raz

33 papers receiving 1.4k citations

Peers

Noa Raz
Comparison fields: 5 of 67
  • Cognitive Neuroscience 847
  • Pathology and Forensic Medicine 277
  • Experimental and Cognitive Psychology 130
  • Ophthalmology 55
  • Radiology, Nuclear Medicine and Imaging 116
Replace D. Papakōstopoulos with:
D. Papakōstopoulos United Kingdom
Nancy K. Madigan United States
Elaine J. Anderson United Kingdom
Shir Hofstetter Netherlands
Atira Sara Bick Israel
Richard J. S. Wise United Kingdom
Jennifer K. E. Steeves Canada
Iona H. Alexander United Kingdom
Hiromasa Sawamura Japan
Ladina Bezzola Switzerland
Noa Raz relative to D. Papakōstopoulos United Kingdom D. Papakōstopoulos's profile →
Citations per field
00.5×5×10×15×19.6×
D. Papakōstopoulos · 1×
Citations per year

Countries citing papers authored by Noa Raz

Since Specialization
Citations

This map shows the geographic impact of Noa Raz'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 Noa Raz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Raz more than expected).

Fields of papers citing papers by Noa Raz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noa Raz. 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 Noa Raz. The network helps show where Noa Raz may publish in the future.

Co-authors

The 25 scholars most cited alongside Noa Raz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Noa Raz Line = papers co-authored together Noa Raz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003497
2 2005126
3 2010105
4 201498
5 200793
6 201842
7 201841
8 201140
9 201138
10 201737
11 201333
12 201426
13 201220
14 201920
15 201418
16 201615
17 201615
18 201815
19
Early ‘visual’ cortex activation correlates with superior verbal memory in the blind
200314
20 201414

About Noa Raz

Noa Raz is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Ophthalmology and Psychiatry and Mental health, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (16 papers), Multiple Sclerosis Research Studies (12 papers), Tactile and Sensory Interactions (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Retinal Development and Disorders (3 papers), Spatial Neglect and Hemispheric Dysfunction (3 papers), Glaucoma and retinal disorders (2 papers) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Cognitive Neuroscience (847 citations), Pathology and Forensic Medicine (277 citations), Experimental and Cognitive Psychology (130 citations), Ophthalmology (55 citations) and Radiology, Nuclear Medicine and Imaging (116 citations). Noa Raz has collaborated with scholars based in Israel, Germany and France. Frequent co-authors include Ehud Zohary, Amir Amedi, Rafael Malach, Pazit Pianka, Netta Levin, Tamir Ben‐Hur, Sylvie Chokron A, Golan Pundak, Ella Striem-Amit and Tanya Orlov. Their work appears in journals such as Neurology, JAMA Neurology, Investigative Ophthalmology & Visual Science, Journal of Visualized Experiments and Journal of Neurology.

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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