Netta Levin

2.5k citations
69 papers · 1.7k · h-index 23

Impact in

Papers in

Netta Levin

66 papers receiving 1.7k citations

Peers

Netta Levin
Comparison fields: 5 of 100
  • Pathology and Forensic Medicine 649
  • Ophthalmology 320
  • Cognitive Neuroscience 544
  • Neurology 305
  • Radiology, Nuclear Medicine and Imaging 456
Replace Rosaria Sacco with:
Rosaria Sacco Switzerland
Sashank Prasad United States
Eric C. Klawiter United States
M. R. Newton Australia
Michael C. Brodsky United States
Núria Solà‐Valls Spain
J.R.M. Cruysberg Netherlands
Iñigo Gabilondo Spain
A Kriss United Kingdom
C. Uggetti Italy
Netta Levin relative to Rosaria Sacco Switzerland Rosaria Sacco's profile →
Citations per field
00.5×1.5×2.4×
Rosaria Sacco · 1×
Citations per year

Countries citing papers authored by Netta Levin

Since Specialization
Citations

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

Fields of papers citing papers by Netta Levin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Netta Levin, 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 Netta Levin Line = papers co-authored together Netta Levin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017185
2 2020145
3 2010114
4 2021102
5 201493
6 201579
7 201266
8 201550
9 201549
10 200442
11 200541
12 200639
13 201837
14 201137
15 201137
16 201736
17 201834
18 201230
19 201329
20
Patterns of misdiagnosis of multiple sclerosis.
200329

About Netta Levin

Netta Levin is a scholar working on Pathology and Forensic Medicine, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Epidemiology, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (26 papers), Visual perception and processing mechanisms (18 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Retinal Development and Disorders (11 papers), Functional Brain Connectivity Studies (10 papers), Glaucoma and retinal disorders (8 papers), Ophthalmology and Visual Impairment Studies (8 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (649 citations), Ophthalmology (320 citations), Cognitive Neuroscience (544 citations), Neurology (305 citations) and Radiology, Nuclear Medicine and Imaging (456 citations). Netta Levin has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Noa Raz, Atira Bick, Tamir Ben‐Hur, Shahar Arzy, Michael Peer, Mor Nitzan, Yael Backner, Serge O. Dumoulin, Robert F. Dougherty and Brian A. Wandell. Their work appears in journals such as Journal of the Neurological Sciences, Neurology, Investigative Ophthalmology & Visual Science, NeuroImage and Brain Topography.

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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