Lisa A. Matsuda
- Pharmacology top 0.05%
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 2%
- Endocrine and Autonomic Systems top 1%
- Molecular Biology
- Co-authors
- Tom I. BonnerStephen J. LolaitAlice C. YoungMichael BrownsteinJames W. GibbChristian C. FelderEileen M. BrileyHarold L. Williams
- Topics
- Neuroscience and Neuropharmacology Research (11 papers)Neurotransmitter Receptor Influence on Behavior (11 papers)Cannabis and Cannabinoid Research (8 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Lisa A. Matsuda
16 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Pharmacology 4.8k
- Cellular and Molecular Neuroscience 3.1k
- Cognitive Neuroscience 1.0k
- Endocrine and Autonomic Systems 682
- Molecular Biology 671
Countries citing papers authored by Lisa A. Matsuda
This map shows the geographic impact of Lisa A. Matsuda'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 Lisa A. Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa A. Matsuda more than expected).
Fields of papers citing papers by Lisa A. Matsuda
This network shows the impact of papers produced by Lisa A. Matsuda. 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 Lisa A. Matsuda. The network helps show where Lisa A. Matsuda may publish in the future.
Co-authorship network of co-authors of Lisa A. Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa A. Matsuda. A scholar is included among the top collaborators of Lisa A. Matsuda 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 Lisa A. Matsuda. Lisa A. Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 49 | |
| 3 | 94 | |
| 4 | 26 | |
| 5 | 219 | |
| 6 | Localization of cannabinoid receptor mRNA in rat brainbreakdown → | 510 |
| 7 | 23 | |
| 8 | 226 | |
| 9 | Structure of a cannabinoid receptor and functional expression of the cloned cDNAbreakdown → | 4022 |
| 10 | 11 | |
| 11 | 4 | |
| 12 | Neurochemical basis for cocaine and methamphetamine interactions. | 1 |
| 13 | 52 | |
| 14 | 54 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 38 |
About Lisa A. Matsuda
Lisa A. Matsuda is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Psychiatry and Mental health, having authored 17 papers that have together received 5.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Neurotransmitter Receptor Influence on Behavior (11 papers) and Cannabis and Cannabinoid Research (8 papers). The work is most often cited by research in Pharmacology (4.8k citations), Cellular and Molecular Neuroscience (3.1k citations) and Toxicology (488 citations). Lisa A. Matsuda has collaborated with scholars based in United States and Russia. Frequent co-authors include Tom I. Bonner, Stephen J. Lolait, Alice C. Young, Michael Brownstein, James W. Gibb, Christian C. Felder, Eileen M. Briley, Harold L. Williams, Allyn C. Howlett and Miles Herkenham. Their work appears in journals such as Nature, The Journal of Comparative Neurology and Brain Research.
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.