Maya Lebow
Impact in
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
Papers in
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- Stress Responses and Cortisol 9
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- Tryptophan and brain disorders 8
- Co-authors
- Alon Chen (12 shared papers)Michael Tsoory (3 shared papers)Yael Kuperman (4 shared papers)Yehezkel Sztainberg (2 shared papers)Shosh Gil (2 shared papers)Adi Neufeld-Cohen (1 shared paper)Maya Amitai (4 shared papers)Abraham Weizman (4 shared papers)
- Journals
- Molecular Psychiatry (3 papers)Brain Behavior and Immunity (2 papers)Journal of Neuroscience (2 papers)Scientific Reports (1 paper)European Neuropsychopharmacology (1 paper)
- Partner nations
- IsraelGermanyUnited States
In The Last Decade
Maya Lebow
13 papers receiving 952 citations
Maya Lebow's Hit Papers
Peers
Comparison fields: 5 of 68
- Behavioral Neuroscience 372
- Biological Psychiatry 147
- Endocrine and Autonomic Systems 109
- Cellular and Molecular Neuroscience 274
- Social Psychology 293
Countries citing papers authored by Maya Lebow
This map shows the geographic impact of Maya Lebow'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 Maya Lebow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Lebow more than expected).
Fields of papers citing papers by Maya Lebow
This network shows the impact of papers produced by Maya Lebow. 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 Maya Lebow. The network helps show where Maya Lebow may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Lebow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Overshadowed by the amygdala: the bed nucleus of the stria terminalis emerges as key to psychiatric disorders Hit paper breakdown → | 2016 | 496 |
| 2 | 2010 | 139 | |
| 3 | 2012 | 87 | |
| 4 | 2016 | 59 | |
| 5 | 2014 | 37 | |
| 6 | 2022 | 35 | |
| 7 | 2017 | 32 | |
| 8 | 2019 | 29 | |
| 9 | 2019 | 24 | |
| 10 | 2020 | 14 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 1 |
About Maya Lebow
Maya Lebow is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Social Psychology, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 962 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (9 papers), Tryptophan and brain disorders (8 papers), Neuroendocrine regulation and behavior (4 papers), Birth, Development, and Health (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Early Childhood Education and Development (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper) and Anesthesia and Neurotoxicity Research (1 paper). The work is most often cited by research in Behavioral Neuroscience (372 citations), Biological Psychiatry (147 citations), Endocrine and Autonomic Systems (109 citations), Cellular and Molecular Neuroscience (274 citations) and Social Psychology (293 citations). Maya Lebow has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Alon Chen, Michael Tsoory, Yael Kuperman, Yehezkel Sztainberg, Shosh Gil, Adi Neufeld-Cohen, Maya Amitai, Abraham Weizman, Silvana Fennig and Alan Apter. Their work appears in journals such as Molecular Psychiatry, Brain Behavior and Immunity, Journal of Neuroscience, Scientific Reports and European Neuropsychopharmacology.
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.