Joan E. Kuster
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
- Cholinesterase and Neurodegenerative Diseases
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Neuroscience and Neuropharmacology Research 6
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- Cannabis and Cannabinoid Research 3
- Cholinesterase and Neurodegenerative Diseases 2
- Co-authors
- Eitan Friedman (4 shared papers)Susan J. Ward (2 shared papers)Dean A. Haycock (3 shared papers)Thomas E. D'Ambra (2 shared papers)Raymond T. Bartus (1 shared paper)Kathleen A. Sherman (1 shared paper)Reginald L. Dean (1 shared paper)Pamela J. Swiatek (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Mammalian Genome (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Neurobiology of Aging (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Joan E. Kuster
10 papers receiving 559 citations
Peers
Comparison fields: 5 of 58
- Pharmacology 290
- Cellular and Molecular Neuroscience 330
- Cognitive Neuroscience 180
- Immunology and Allergy 42
- Toxicology 21
Countries citing papers authored by Joan E. Kuster
This map shows the geographic impact of Joan E. Kuster'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 Joan E. Kuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan E. Kuster more than expected).
Fields of papers citing papers by Joan E. Kuster
This network shows the impact of papers produced by Joan E. Kuster. 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 Joan E. Kuster. The network helps show where Joan E. Kuster may publish in the future.
Co-authors
The 25 scholars most cited alongside Joan E. Kuster, 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 | 1993 | 143 | |
| 2 | 1981 | 133 | |
| 3 | 1983 | 126 | |
| 4 | 1997 | 80 | |
| 5 | 1994 | 38 | |
| 6 | 1983 | 32 | |
| 7 | 1995 | 23 | |
| 8 | 1980 | 11 | |
| 9 | 1986 | 3 | |
| 10 | 1995 | 1 |
About Joan E. Kuster
Joan E. Kuster is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Molecular Biology, Cognitive Neuroscience and Organic Chemistry, having authored 10 papers that have together received 590 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Cannabis and Cannabinoid Research (3 papers), Memory and Neural Mechanisms (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Biochemical effects in animals (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Biopolymer Synthesis and Applications (1 paper) and Structural and Chemical Analysis of Organic and Inorganic Compounds (1 paper). The work is most often cited by research in Pharmacology (290 citations), Cellular and Molecular Neuroscience (330 citations), Cognitive Neuroscience (180 citations), Immunology and Allergy (42 citations) and Toxicology (21 citations). Joan E. Kuster has collaborated with scholars based in United States and Canada. Frequent co-authors include Eitan Friedman, Susan J. Ward, Dean A. Haycock, Thomas E. D'Ambra, Raymond T. Bartus, Kathleen A. Sherman, Reginald L. Dean, Pamela J. Swiatek, Jeffrey G. Ault and Lorraine Flaherty. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Mammalian Genome, Bioorganic & Medicinal Chemistry Letters, Neurobiology of Aging and Journal of Medicinal Chemistry.
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.