Kathryn G. Commons
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Behavioral Neuroscience top 0.5%
- Social Psychology top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Rita J. ValentinoDaniel G. EhlingerTeresa A. MilnerSusan M. DymeckiJessica A. BabbAram B. CholaniansMariano Soiza‐ReillyElisabeth J. Van Bockstaele
- Topics
- Receptor Mechanisms and Signaling (35 papers)Neurotransmitter Receptor Influence on Behavior (34 papers)Neuroscience and Neuropharmacology Research (28 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceNature reviews. Neuroscience
- Partner nations
- United StatesChinaSweden
In The Last Decade
Kathryn G. Commons
75 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 1.9k
- Molecular Biology 1.2k
- Behavioral Neuroscience 652
- Social Psychology 624
- Cognitive Neuroscience 612
Countries citing papers authored by Kathryn G. Commons
This map shows the geographic impact of Kathryn G. Commons'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 Kathryn G. Commons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn G. Commons more than expected).
Fields of papers citing papers by Kathryn G. Commons
This network shows the impact of papers produced by Kathryn G. Commons. 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 Kathryn G. Commons. The network helps show where Kathryn G. Commons may publish in the future.
Co-authorship network of co-authors of Kathryn G. Commons
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn G. Commons. A scholar is included among the top collaborators of Kathryn G. Commons 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 Kathryn G. Commons. Kathryn G. Commons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 203 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 39 | |
| 6 | 14 | |
| 7 | 23 | |
| 8 | 10 | |
| 9 | 30 | |
| 10 | 74 | |
| 11 | 22 | |
| 12 | 8 | |
| 13 | 35 | |
| 14 | 42 | |
| 15 | 12 | |
| 16 | 36 | |
| 17 | 19 | |
| 18 | 172 | |
| 19 | 46 | |
| 20 | 23 |
About Kathryn G. Commons
Kathryn G. Commons is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 75 papers that have together received 3.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (35 papers), Neurotransmitter Receptor Influence on Behavior (34 papers) and Neuroscience and Neuropharmacology Research (28 papers). The work is most often cited by research in Behavioral Neuroscience (652 citations), Biological Psychiatry (267 citations) and Cellular and Molecular Neuroscience (1.9k citations). Kathryn G. Commons has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Rita J. Valentino, Daniel G. Ehlinger, Teresa A. Milner, Susan M. Dymecki, Jessica A. Babb, Aram B. Cholanians, Mariano Soiza‐Reilly, Elisabeth J. Van Bockstaele, Benjamin W. Okaty and Sun Jung Bang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature reviews. 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.