Tamar Gur

44 papers receiving 2.0k citations

Peers

Tamar Gur
Comparison fields: 5 of 115
  • Biological Psychiatry 252
  • Behavioral Neuroscience 216
  • Neurology 205
  • Physiology 604
  • Neurology 319
Replace Sean M. Smith with:
Sean M. Smith United States
Yannick Vermeiren Belgium
Eric Prinssen Switzerland
Sulie L. Chang United States
Svetlana А. Ivanova Russia
Alessandra Borsini United Kingdom
Eleni Koutsilieri Germany
Helen Wong United States
Eosu Kim South Korea
Tamar Gur relative to Sean M. Smith United States Sean M. Smith's profile →
Citations per field
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Sean M. Smith · 1×
Citations per year

Countries citing papers authored by Tamar Gur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tamar Gur Line = papers co-authored together Tamar Gur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000227
2 2001172
3 2016163
4 2009134
5 2000130
6 201693
7 201892
8 202289
9 200787
10 200186
11 200284
12 202063
13 201559
14 201859
15 200658
16 200957
17 201948
18 200140
19 201638
20 202136

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.

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