Mia Levite

2.0k citations
23 papers · 1.6k · h-index 19

Impact in

    • Tryptophan and brain disorders
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Autoimmune Neurological Disorders and Treatments

Papers in

Mia Levite

23 papers receiving 1.6k citations

Peers

Mia Levite
Comparison fields: 5 of 102
  • Biological Psychiatry 177
  • Neurology 265
  • Cellular and Molecular Neuroscience 481
  • Behavioral Neuroscience 70
  • Psychiatry and Mental health 219
Replace Mia Levite with:
Mia Levite Israel
Adam P. Kohm United States
Shannon Callen United States
S L Hauser United States
Alexander Stephan Switzerland
Takaaki Hattori Japan
Margaret S. Bynoe United States
Kunio Tashiro Japan
Jun Nomura Japan
Markus Höltje Germany
Mia Levite relative to Mia Levite Israel Mia Levite's profile →
Citations per field
00.5×2.7×
Mia Levite · 1×
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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015188
2 1998181
3 2000180
4 2008160
5 2003151
6 2001115
7 200098
8 200596
9 201478
10 200749
11 200844
12 200144
13 200541
14 200432
15 200131
16 200927
17 200626
18 200522
19 202019
20 201318

About Mia Levite

Mia Levite is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Immunology, Psychiatry and Mental health and Neurology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Immune Cell Function and Interaction (6 papers), Autoimmune Neurological Disorders and Treatments (5 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), T-cell and B-cell Immunology (3 papers), Receptor Mechanisms and Signaling (3 papers), Epilepsy research and treatment (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Biological Psychiatry (177 citations), Neurology (265 citations), Cellular and Molecular Neuroscience (481 citations), Behavioral Neuroscience (70 citations) and Psychiatry and Mental health (219 citations). Mia Levite has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Yonatan Ganor, Yehuda Chowers, Liora Cahalon, Michal J. Besser, Vivian I. Teichberg, Tamar Unger, Amiram Ariel, Asher Peretz, Rooma Desai and Bernard Attali. Their work appears in journals such as The Journal of Immunology, Trends in Immunology, Journal of Child Neurology, Psychoneuroendocrinology and Journal of Immunology Research.

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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