Netta Levin

2.5k total citations
69 papers, 1.7k citations indexed

About

Netta Levin is a scholar working on Pathology and Forensic Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Netta Levin has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pathology and Forensic Medicine, 26 papers in Cognitive Neuroscience and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Netta Levin's work include Multiple Sclerosis Research Studies (26 papers), Visual perception and processing mechanisms (18 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Netta Levin is often cited by papers focused on Multiple Sclerosis Research Studies (26 papers), Visual perception and processing mechanisms (18 papers) and Advanced Neuroimaging Techniques and Applications (14 papers). Netta Levin collaborates with scholars based in Israel, United States and Germany. Netta Levin's co-authors include Noa Raz, Atira Bick, Tamir Ben‐Hur, Shahar Arzy, Mor Nitzan, Michael Peer, Yael Backner, Serge O. Dumoulin, Robert F. Dougherty and Brian A. Wandell and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Netta Levin

66 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Netta Levin Israel 23 649 544 456 320 305 69 1.7k
Sashank Prasad United States 20 392 0.6× 539 1.0× 266 0.6× 296 0.9× 479 1.6× 106 2.4k
Eric C. Klawiter United States 27 1.3k 2.0× 209 0.4× 952 2.1× 205 0.6× 544 1.8× 78 2.3k
M. R. Newton Australia 17 243 0.4× 300 0.6× 303 0.7× 104 0.3× 448 1.5× 22 1.7k
Núria Solà‐Valls Spain 20 595 0.9× 274 0.5× 129 0.3× 64 0.2× 620 2.0× 42 1.3k
Rosaria Sacco Switzerland 19 1.0k 1.6× 223 0.4× 196 0.4× 221 0.7× 358 1.2× 45 1.5k
A Kriss United Kingdom 30 266 0.4× 696 1.3× 210 0.5× 555 1.7× 240 0.8× 81 2.4k
Shirley H. Wray United States 24 434 0.7× 285 0.5× 147 0.3× 325 1.0× 605 2.0× 56 1.9k
Aki Kawasaki Switzerland 30 265 0.4× 324 0.6× 193 0.4× 929 2.9× 534 1.8× 103 2.4k
Michael C. Brodsky United States 28 977 1.5× 146 0.3× 454 1.0× 962 3.0× 1.0k 3.4× 199 3.2k
Ingele Casteels Belgium 23 157 0.2× 147 0.3× 456 1.0× 596 1.9× 200 0.7× 123 1.8k

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-authorship network of co-authors of Netta Levin

This figure shows the co-authorship network connecting the top 25 collaborators of Netta Levin. A scholar is included among the top collaborators of Netta Levin 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 Netta Levin. Netta Levin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Levin, Netta, et al.. (2024). The Role of Population Receptive Field Sizes in Higher-Order Visual Dysfunction. Current Neurology and Neuroscience Reports. 24(12). 611–620. 2 indexed citations
2.
Zveik, Omri, Netta Levin, Livnat Brill, et al.. (2023). Brain MRI activity during the year before pregnancy can predict long-term clinical worsening in patients with Multiple Sclerosis. Neurological Sciences. 44(11). 3989–3996. 2 indexed citations
3.
Molz, Barbara, Heidi A. Baseler, Noa Raz, et al.. (2023). Achromatopsia—Visual Cortex Stability and Plasticity in the Absence of Functional Cones. Investigative Ophthalmology & Visual Science. 64(13). 23–23. 3 indexed citations
4.
Bick, Atira, et al.. (2023). Abnormal network connections to early visual cortex in posterior cortical atrophy. Journal of the Neurological Sciences. 454. 120826–120826.
5.
Banin, Eyal, et al.. (2023). Seeing color following gene augmentation therapy in achromatopsia. Current Biology. 33(16). 3489–3494.e2. 3 indexed citations
6.
Berman, Shai, Yael Backner, Friedemann Paul, et al.. (2020). Conduction delays in the visual pathways of progressive multiple sclerosis patients covary with brain structure. NeuroImage. 221. 117204–117204. 16 indexed citations
7.
Bick, Atira, Laura Canetti, Ronen Segman, et al.. (2020). The imprint of childhood adversity on emotional processing in high functioning young adults. Human Brain Mapping. 42(3). 615–625. 22 indexed citations
8.
Backner, Yael, Ido Ben‐Shalom, Joseph Kuchling, et al.. (2020). Cortical topological network changes following optic neuritis. Neurology Neuroimmunology & Neuroinflammation. 7(3). 11 indexed citations
9.
Backner, Yael, et al.. (2020). Global Brain Involvement in Posterior Cortical Atrophy: Multimodal MR Imaging Investigation. Brain Topography. 33(5). 600–612. 6 indexed citations
10.
Backner, Yael, Panayiota Petrou, Noa Raz, et al.. (2019). Vision and Vision-Related Measures in Progressive Multiple Sclerosis. Frontiers in Neurology. 10. 455–455. 18 indexed citations
11.
Levin, Netta, et al.. (2019). Color perception impairment following optic neuritis and its association with retinal atrophy. Journal of Neurology. 266(5). 1160–1166. 9 indexed citations
12.
Kuchling, Joseph, Yael Backner, Frederike Cosima Oertel, et al.. (2018). Comparison of probabilistic tractography and tract-based spatial statistics for assessing optic radiation damage in patients with autoimmune inflammatory disorders of the central nervous system. NeuroImage Clinical. 19. 538–550. 37 indexed citations
13.
Peer, Michael, Mor Nitzan, Atira Bick, Netta Levin, & Shahar Arzy. (2017). Evidence for Functional Networks within the Human Brain's White Matter. Journal of Neuroscience. 37(27). 6394–6407. 185 indexed citations
14.
Raz, Noa & Netta Levin. (2016). Neuro-visual rehabilitation. Journal of Neurology. 264(6). 1051–1058. 14 indexed citations
15.
Raz, Noa, et al.. (2015). Functional neural substrates of posterior cortical atrophy patients. Journal of Neurology. 262(7). 1751–1761. 14 indexed citations
16.
Hoffmann, Michael B., Falko R. Kaule, Netta Levin, et al.. (2012). Plasticity and Stability of the Visual System in Human Achiasma. Neuron. 75(3). 393–401. 66 indexed citations
17.
18.
Raz, Noa, et al.. (2011). Demyelination affects temporal aspects of perception: An optic neuritis study. Annals of Neurology. 71(4). 531–538. 37 indexed citations
19.
Bick, Atira, Arnaldo Mayer, & Netta Levin. (2011). From research to clinical practice: Implementation of functional magnetic imaging and white matter tractography in the clinical environment. Journal of the Neurological Sciences. 312(1-2). 158–165. 25 indexed citations
20.
Levin, Netta, et al.. (1983). Extra-adrenal pheochromocytoma in pregnancy.. PubMed. 32(5). 377–9. 3 indexed citations

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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