Kate M. Wassum
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 2%
- Molecular Biology top 10%
- Pharmacology top 2%
- Social Psychology top 5%
- Co-authors
- Nigel T. MaidmentR. Mark WightmanJoseph F. CheerPaul E. M. PhillipsMichael L. HeienSean B. OstlundVenuz Y. GreenfieldAlicia Izquierdo
- Topics
- Neurotransmitter Receptor Influence on Behavior (32 papers)Receptor Mechanisms and Signaling (22 papers)Neuroscience and Neuropharmacology Research (13 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
- Cognitive Neuroscience 1.2k
- Molecular Biology 873
- Pharmacology 413
- Social Psychology 388
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 of co-authors of Kate M. Wassum
This figure shows the co-authorship network connecting the top 25 collaborators of Kate M. Wassum. A scholar is included among the top collaborators of Kate M. Wassum 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 Kate M. Wassum. Kate M. Wassum 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 | 3 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 19 | |
| 6 | 71 | |
| 7 | 16 | |
| 8 | 73 | |
| 9 | 78 | |
| 10 | 40 | |
| 11 | 211 | |
| 12 | 4 | |
| 13 | 64 | |
| 14 | 68 | |
| 15 | 79 | |
| 16 | 55 | |
| 17 | 125 | |
| 18 | 274 | |
| 19 | 145 | |
| 20 | 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) and Neuroscience and Neuropharmacology Research (13 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.