Sarah M. Brown
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Genetics top 5%
- Molecular Biology
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Ahmad R. HaririStephen B. ManuckMarcus R. MunafòJanine D. FloryDouglas E. WilliamsonCara L. WellmanR E FerrellHarriet de Wit
- Topics
- Stress Responses and Cortisol (7 papers)Animal Behavior and Welfare Studies (7 papers)Virus-based gene therapy research (6 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Sarah M. Brown
57 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cognitive Neuroscience 910
- Cellular and Molecular Neuroscience 700
- Genetics 594
- Molecular Biology 559
- Experimental and Cognitive Psychology 518
Countries citing papers authored by Sarah M. Brown
This map shows the geographic impact of Sarah M. Brown'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 Sarah M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah M. Brown more than expected).
Fields of papers citing papers by Sarah M. Brown
This network shows the impact of papers produced by Sarah M. Brown. 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 Sarah M. Brown. The network helps show where Sarah M. Brown may publish in the future.
Co-authorship network of co-authors of Sarah M. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah M. Brown. A scholar is included among the top collaborators of Sarah M. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah M. Brown. Sarah M. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | Detecting Simpson's Paradox. | 2 |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 48 | |
| 10 | 25 | |
| 11 | 22 | |
| 12 | 78 | |
| 13 | 200 | |
| 14 | Serotonin Transporter (5-HTTLPR) Genotype and Amygdala Activation: A Meta-Analysisbreakdown → | 556 |
| 15 | 403 | |
| 16 | 123 | |
| 17 | 262 | |
| 18 | 14 | |
| 19 | 33 | |
| 20 | 14 |
About Sarah M. Brown
Sarah M. Brown is a scholar working on Behavioral Neuroscience, Equine and Small Animals, having authored 60 papers that have together received 3.2k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (7 papers), Animal Behavior and Welfare Studies (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Behavioral Neuroscience (421 citations), General Decision Sciences (105 citations) and Biological Psychiatry (133 citations). Sarah M. Brown has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ahmad R. Hariri, Stephen B. Manuck, Marcus R. Munafò, Janine D. Flory, Douglas E. Williamson, Cara L. Wellman, R E Ferrell, Harriet de Wit, Aravind Asokan and Shen Shen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.
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.