Heather J. Pribut
Impact in
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
- Pharmacology top 0.5%
- Treatment of Major Depression
Papers in
-
- Neurotransmitter Receptor Influence on Behavior 7
- Neuroscience and Neuropharmacology Research 4
-
- Memory and Neural Mechanisms 5
- Co-authors
- Panos Zanos (4 shared papers)Carlos A. Zarate (4 shared papers)Todd D. Gould (4 shared papers)Craig J. Thomas (3 shared papers)Patrick J. Morris (3 shared papers)Gregory I. Elmer (3 shared papers)Edson X. Albuquerque (3 shared papers)Peixiong Yuan (3 shared papers)
- Journals
- Nature (2 papers)Journal of Neuroscience (2 papers)Current Biology (1 paper)Brain Research (1 paper)Journal of Experimental Psychology Animal Learning and Cognition (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Heather J. Pribut
12 papers receiving 1.5k citations
Heather J. Pribut's Hit Papers
Peers
Comparison fields: 5 of 73
- Biological Psychiatry 669
- Pharmacology 867
- Behavioral Neuroscience 179
- Cellular and Molecular Neuroscience 692
- Developmental Neuroscience 71
Countries citing papers authored by Heather J. Pribut
This map shows the geographic impact of Heather J. Pribut'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 Heather J. Pribut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather J. Pribut more than expected).
Fields of papers citing papers by Heather J. Pribut
This network shows the impact of papers produced by Heather J. Pribut. 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 Heather J. Pribut. The network helps show where Heather J. Pribut may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather J. Pribut, 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 | NMDAR inhibition-independent antidepressant actions of ketamine metabolites Hit paper breakdown → | 2016 | 1175 |
| 2 | 2015 | 95 | |
| 3 | 2018 | 86 | |
| 4 | 2017 | 37 | |
| 5 | 2017 | 28 | |
| 6 | 2023 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2017 | 1 |
About Heather J. Pribut
Heather J. Pribut is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pharmacology, Biological Psychiatry and Molecular Biology, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Memory and Neural Mechanisms (5 papers), Tryptophan and brain disorders (4 papers), Treatment of Major Depression (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (2 papers), Stress Responses and Cortisol (2 papers) and Educational and Psychological Assessments (1 paper). The work is most often cited by research in Biological Psychiatry (669 citations), Pharmacology (867 citations), Behavioral Neuroscience (179 citations), Cellular and Molecular Neuroscience (692 citations) and Developmental Neuroscience (71 citations). Heather J. Pribut has collaborated with scholars based in United States and Czechia. Frequent co-authors include Panos Zanos, Carlos A. Zarate, Todd D. Gould, Craig J. Thomas, Patrick J. Morris, Gregory I. Elmer, Edson X. Albuquerque, Peixiong Yuan, Cheryl L. Mayo and Scott M. Thompson. Their work appears in journals such as Nature, Journal of Neuroscience, Current Biology, Brain Research and Journal of Experimental Psychology Animal Learning and Cognition.
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.