Tamar Gur
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
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- Tryptophan and brain disorders 18
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- Gut microbiota and health 14
- Co-authors
- Michael T. Bailey (16 shared papers)John Q. Trojanowski (8 shared papers)Brett Worly (7 shared papers)Virginia M.‐Y. Lee (6 shared papers)Helen J. Chen (10 shared papers)Jonathan Schaffir (3 shared papers)Julie A. Blendy (4 shared papers)Daniel Skovronsky (5 shared papers)
- Journals
- Biological Psychiatry (6 papers)Brain Behavior and Immunity (5 papers)Behavioural Brain Research (2 papers)Journal of Medicinal Chemistry (2 papers)Journal of Molecular Neuroscience (2 papers)
- Partner nations
- United StatesCanadaSouth Sudan
In The Last Decade
Tamar Gur
44 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Biological Psychiatry 252
- Behavioral Neuroscience 216
- Neurology 205
- Physiology 604
- Neurology 319
Countries citing papers authored by Tamar Gur
This map shows the geographic impact of Tamar Gur'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 Tamar Gur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Gur more than expected).
Fields of papers citing papers by Tamar Gur
This network shows the impact of papers produced by Tamar Gur. 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 Tamar Gur. The network helps show where Tamar Gur may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamar Gur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 227 | |
| 2 | 2001 | 172 | |
| 3 | 2016 | 163 | |
| 4 | 2009 | 134 | |
| 5 | 2000 | 130 | |
| 6 | 2016 | 93 | |
| 7 | 2018 | 92 | |
| 8 | 2022 | 89 | |
| 9 | 2007 | 87 | |
| 10 | 2001 | 86 | |
| 11 | 2002 | 84 | |
| 12 | 2020 | 63 | |
| 13 | 2015 | 59 | |
| 14 | 2018 | 59 | |
| 15 | 2006 | 58 | |
| 16 | 2009 | 57 | |
| 17 | 2019 | 48 | |
| 18 | 2001 | 40 | |
| 19 | 2016 | 38 | |
| 20 | 2021 | 36 |
About Tamar Gur
Tamar Gur is a scholar working on Biological Psychiatry, Molecular Biology, Public Health, Environmental and Occupational Health, Behavioral Neuroscience and Social Psychology, having authored 50 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (18 papers), Maternal Mental Health During Pregnancy and Postpartum (14 papers), Gut microbiota and health (14 papers), Stress Responses and Cortisol (14 papers), Neuroendocrine regulation and behavior (9 papers), Alzheimer's disease research and treatments (7 papers), Computational Drug Discovery Methods (4 papers) and Reproductive Health and Contraception (3 papers). The work is most often cited by research in Biological Psychiatry (252 citations), Behavioral Neuroscience (216 citations), Neurology (205 citations), Physiology (604 citations) and Neurology (319 citations). Tamar Gur has collaborated with scholars based in United States, Canada and South Sudan. Frequent co-authors include Michael T. Bailey, John Q. Trojanowski, Brett Worly, Virginia M.‐Y. Lee, Helen J. Chen, Jonathan Schaffir, Julie A. Blendy, Daniel Skovronsky, Hank F. Kung and Catherine Hou. Their work appears in journals such as Biological Psychiatry, Brain Behavior and Immunity, Behavioural Brain Research, Journal of Medicinal Chemistry and Journal of Molecular Neuroscience.
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.