Mia Levite

3.9k citations
66 papers · 3.3k · h-index 30

Impact in

    • Tryptophan and brain disorders
  • Neurology top 2%
    • Autoimmune Neurological Disorders and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Mia Levite

64 papers receiving 3.2k citations

Peers

Mia Levite
Comparison fields: 5 of 107
  • Biological Psychiatry 183
  • Neurology 319
  • Cellular and Molecular Neuroscience 589
  • Neurology 466
  • Behavioral Neuroscience 92
Replace Alban Gaultier with:
Alban Gaultier United States
Lesley Probert Greece
Yihua Qiu China
Jean E. Merrill United States
Anna Catania Italy
Robert W. Keane United States
Eilhard Mix Germany
Fabrizio Giuliani Canada
Emmanuel Pinteaux United Kingdom
Lorise C. Gahring United States
Mia Levite relative to Alban Gaultier United States Alban Gaultier's profile →
Citations per field
00.5×2×3.2×
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Citations per year

Countries citing papers authored by Mia Levite

Since Specialization
Citations

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

Fields of papers citing papers by Mia Levite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015201
2 1998195
3 2000192
4 2005189
5 2008172
6 2003166
7 1998134
8 2001124
9 2005107
10 2000104
11 2002102
12 2000100
13 201498
14 201490
15 199989
16 199188
17 201766
18 200258
19 199956
20 200255

About Mia Levite

Mia Levite is a scholar working on Cellular and Molecular Neuroscience, Immunology, Neurology, Psychiatry and Mental health and Immunology and Allergy, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Autoimmune Neurological Disorders and Treatments (16 papers), Neuropeptides and Animal Physiology (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Epilepsy research and treatment (8 papers), Receptor Mechanisms and Signaling (5 papers), Cell Adhesion Molecules Research (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Biological Psychiatry (183 citations), Neurology (319 citations), Cellular and Molecular Neuroscience (589 citations), Neurology (466 citations) and Behavioral Neuroscience (92 citations). Mia Levite has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Yonatan Ganor, Michal Judith Besser, Liora Cahalon, Yehuda Chowers, Vivian I. Teichberg, Rami Hershkoviz, Ofer Lider, Hadassa Goldberg‐Stern, Tamar Unger and Lawrence Steinman. Their work appears in journals such as Journal of Neural Transmission, The Journal of Immunology, Journal of Autoimmunity, Current Opinion in Pharmacology and PLoS neglected tropical diseases.

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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