Allison L. Chausmer
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience
- Public Health, Environmental and Occupational Health
- Social Psychology
- Co-authors
- Jonathan L. KatzDavid K. GrandyMarcelo RubinsteinGregory I. ElmerMalcolm J. LowAaron EttenbergR R GriffithsConrad J. Wong
- Topics
- Neurotransmitter Receptor Influence on Behavior (7 papers)Receptor Mechanisms and Signaling (2 papers)Zebrafish Biomedical Research Applications (2 papers)
- Partner nations
- United StatesArgentina
In The Last Decade
Allison L. Chausmer
10 papers receiving 336 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 263
- Molecular Biology 177
- Cognitive Neuroscience 42
- Public Health, Environmental and Occupational Health 36
- Social Psychology 35
Countries citing papers authored by Allison L. Chausmer
This map shows the geographic impact of Allison L. Chausmer'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 Allison L. Chausmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison L. Chausmer more than expected).
Fields of papers citing papers by Allison L. Chausmer
This network shows the impact of papers produced by Allison L. Chausmer. 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 Allison L. Chausmer. The network helps show where Allison L. Chausmer may publish in the future.
Co-authorship network of co-authors of Allison L. Chausmer
This figure shows the co-authorship network connecting the top 25 collaborators of Allison L. Chausmer. A scholar is included among the top collaborators of Allison L. Chausmer 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 Allison L. Chausmer. Allison L. Chausmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 10 | |
| 3 | 76 | |
| 4 | 56 | |
| 5 | 25 | |
| 6 | 55 | |
| 7 | Caffeine as a model drug of dependence: recent developments in understanding caffeine withdrawal, the caffeine dependence syndrome, and caffeine negative reinforcement. | 26 |
| 8 | 19 | |
| 9 | 41 | |
| 10 | 4 |
About Allison L. Chausmer
Allison L. Chausmer is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Psychiatry and Mental health, having authored 10 papers that have together received 345 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Receptor Mechanisms and Signaling (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (263 citations), Endocrine and Autonomic Systems (23 citations) and Molecular Biology (177 citations). Allison L. Chausmer has collaborated with scholars based in United States and Argentina. Frequent co-authors include Jonathan L. Katz, David K. Grandy, Marcelo Rubinstein, Gregory I. Elmer, Malcolm J. Low, Aaron Ettenberg, R R Griffiths, Conrad J. Wong, George E. Bigelow and Stacey C. Sigmon. Their work appears in journals such as Psychopharmacology, Addiction and Pharmacology Biochemistry and Behavior.
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.