Alison M. Beckmann
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Physiology
- Genetics
- Co-authors
- Peter A. WilcePeter R. DoddD. James SurmeierRachael L. NeveTatiana TkatchJingshan ChenGytis BaranauskasDavid W. Self
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Peroxisome Proliferator-Activated Receptors (4 papers)Mitochondrial Function and Pathology (3 papers)
- Partner nations
- AustraliaNew ZealandUnited States
In The Last Decade
Alison M. Beckmann
10 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 718
- Molecular Biology 551
- Cognitive Neuroscience 151
- Physiology 132
- Genetics 112
Countries citing papers authored by Alison M. Beckmann
This map shows the geographic impact of Alison M. Beckmann'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 Alison M. Beckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison M. Beckmann more than expected).
Fields of papers citing papers by Alison M. Beckmann
This network shows the impact of papers produced by Alison M. Beckmann. 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 Alison M. Beckmann. The network helps show where Alison M. Beckmann may publish in the future.
Co-authorship network of co-authors of Alison M. Beckmann
This figure shows the co-authorship network connecting the top 25 collaborators of Alison M. Beckmann. A scholar is included among the top collaborators of Alison M. Beckmann 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 Alison M. Beckmann. Alison M. Beckmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 165 | |
| 3 | Expression of the transcription factor ΔFosB in the brain controls sensitivity to cocainebreakdown → | 514 |
| 4 | 25 | |
| 5 | 40 | |
| 6 | 25 | |
| 7 | 283 | |
| 8 | 43 | |
| 9 | Elevated AP-1 DNA-binding activity in rat brain during ethanol withdrawal. | 5 |
| 10 | Gene expression during ethanol withdrawal. | 15 |
About Alison M. Beckmann
Alison M. Beckmann is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (718 citations), Behavioral Neuroscience (58 citations) and Developmental Neuroscience (63 citations). Alison M. Beckmann has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Peter A. Wilce, Peter R. Dodd, D. James Surmeier, Rachael L. Neve, Tatiana Tkatch, Jingshan Chen, Gytis Baranauskas, David W. Self, Marina R. Picciotto and William A. Carlezon. Their work appears in journals such as Nature, Journal of Neurochemistry and Experimental Neurology.
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.