Kate M. Wassum
- Cellular and Molecular Neuroscience top 0.5%
- Neurotransmitter Receptor Influence on Behavior 32
- Neuroscience and Neuropharmacology Research 13
- Behavioral Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms 13
- Neural and Behavioral Psychology Studies 7
- Electrochemistry top 2%
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- Receptor Mechanisms and Signaling 22
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- Neuroendocrine regulation and behavior 8
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- Mental Health Research Topics 5
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- Cannabis and Cannabinoid Research 3
- Co-authors
- Nigel T. MaidmentR. Mark WightmanJoseph F. CheerPaul E. M. PhillipsMichael L. HeienSean B. OstlundVenuz Y. GreenfieldAlicia Izquierdo
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Neuroscience (7 papers)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Kate M. Wassum
45 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 115
- Cellular and Molecular Neuroscience 2.0k
- Behavioral Neuroscience 227
- Cognitive Neuroscience 1.2k
- Electrochemistry 270
- Endocrine and Autonomic Systems 198
Countries citing papers authored by Kate M. Wassum
This map shows the geographic impact of Kate M. Wassum'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 Kate M. Wassum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate M. Wassum more than expected).
Fields of papers citing papers by Kate M. Wassum
This network shows the impact of papers produced by Kate M. Wassum. 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 Kate M. Wassum. The network helps show where Kate M. Wassum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kate M. Wassum, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 71 | |
| 7 | 2017 | 16 | |
| 8 | 2016 | 73 | |
| 9 | 2015 | 78 | |
| 10 | 2015 | 40 | |
| 11 | 2015 | 211 | |
| 12 | 2014 | 4 | |
| 13 | 2014 | 64 | |
| 14 | 2012 | 68 | |
| 15 | 2011 | 79 | |
| 16 | 2011 | 55 | |
| 17 | 2009 | 125 | |
| 18 | 2007 | 274 | |
| 19 | 2007 | 145 | |
| 20 | 2006 | 23 |
About Kate M. Wassum
Kate M. Wassum is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 46 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (32 papers), Receptor Mechanisms and Signaling (22 papers), Neuroscience and Neuropharmacology Research (13 papers), Memory and Neural Mechanisms (13 papers), Neuroendocrine regulation and behavior (8 papers), Neural and Behavioral Psychology Studies (7 papers), Mental Health Research Topics (5 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Behavioral Neuroscience (227 citations) and Cognitive Neuroscience (1.2k citations). Kate M. Wassum has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Nigel T. Maidment, R. Mark Wightman, Joseph F. Cheer, Paul E. M. Phillips, Michael L. Heien, Sean B. Ostlund, Venuz Y. Greenfield, Alicia Izquierdo, Jennifer L. Ariansen and Bernard W. Balleine. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.