Allyson K. Friedman
- Behavioral Neuroscience top 0.5%
- Stress Responses and Cortisol 8
- Biological Psychiatry top 1%
- Tryptophan and brain disorders 3
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- Neuroscience and Neuropharmacology Research 13
- Neurotransmitter Receptor Influence on Behavior 11
- Photoreceptor and optogenetics research 3
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
- Developmental Neuroscience top 5%
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- Neuroendocrine regulation and behavior 7
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- Ion channel regulation and function 3
- Co-authors
- Ming‐Hu HanEric J. NestlerJessica J. WalshDipesh ChaudhuryRachael L. NeveHerbert E. CovingtonDavid DietzJa Wook Koo
- Partner nations
- United StatesChinaItaly
In The Last Decade
Allyson K. Friedman
31 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Behavioral Neuroscience 567
- Biological Psychiatry 390
- Cellular and Molecular Neuroscience 1.5k
- Cognitive Neuroscience 644
- Developmental Neuroscience 109
Countries citing papers authored by Allyson K. Friedman
This map shows the geographic impact of Allyson K. Friedman'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 Allyson K. Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allyson K. Friedman more than expected).
Fields of papers citing papers by Allyson K. Friedman
This network shows the impact of papers produced by Allyson K. Friedman. 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 Allyson K. Friedman. The network helps show where Allyson K. Friedman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Allyson K. Friedman, 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 | 2025 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 30 | |
| 4 | 2022 | 103 | |
| 5 | 2020 | 54 | |
| 6 | 2019 | 186 | |
| 7 | 2018 | 56 | |
| 8 | 2017 | 7 | |
| 9 | KCNQ channel openers reverse depressive symptoms via an active resilience mechanism | 2016 | 35 |
| 10 | 2016 | 118 | |
| 11 | 2015 | 15 | |
| 12 | 2015 | 167 | |
| 13 | 2014 | 358 | |
| 14 | 2014 | 82 | |
| 15 | 2013 | 165 | |
| 16 | 2011 | 6 | |
| 17 | 2011 | 35 | |
| 18 | 2010 | 307 | |
| 19 | 2010 | 30 | |
| 20 | 2005 | 34 |
About Allyson K. Friedman
Allyson K. Friedman is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (7 papers), Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (3 papers), Ion channel regulation and function (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Behavioral Neuroscience (567 citations), Biological Psychiatry (390 citations) and Cellular and Molecular Neuroscience (1.5k citations). Allyson K. Friedman has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Ming‐Hu Han, Eric J. Nestler, Jessica J. Walsh, Dipesh Chaudhury, Rachael L. Neve, Herbert E. Covington, David Dietz, Ja Wook Koo, Barbara Juarez and Stacy M. Ku. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience, Science, Biological Psychiatry and Nature Communications.
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.