Rianne R. Campbell
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Physiology
- Genetics
- Co-authors
- Marcelo A. WoodKaren K. SzumlinskiMelissa G. WrotenMatthias KlugmannGeorg von JonquièresAlberto J. LópezA. ThompsonDina P. Matheos
- Topics
- Neurotransmitter Receptor Influence on Behavior (13 papers)Neuroscience and Neuropharmacology Research (10 papers)Receptor Mechanisms and Signaling (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceNature reviews. Neuroscience
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Rianne R. Campbell
21 papers receiving 655 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 422
- Molecular Biology 371
- Cognitive Neuroscience 127
- Physiology 64
- Genetics 60
Countries citing papers authored by Rianne R. Campbell
This map shows the geographic impact of Rianne R. Campbell'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 Rianne R. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rianne R. Campbell more than expected).
Fields of papers citing papers by Rianne R. Campbell
This network shows the impact of papers produced by Rianne R. Campbell. 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 Rianne R. Campbell. The network helps show where Rianne R. Campbell may publish in the future.
Co-authorship network of co-authors of Rianne R. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Rianne R. Campbell. A scholar is included among the top collaborators of Rianne R. Campbell 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 Rianne R. Campbell. Rianne R. Campbell 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 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 22 | |
| 9 | 19 | |
| 10 | 23 | |
| 11 | 109 | |
| 12 | 16 | |
| 13 | 29 | |
| 14 | 59 | |
| 15 | 47 | |
| 16 | 35 | |
| 17 | 33 | |
| 18 | 50 | |
| 19 | 64 | |
| 20 | 39 |
About Rianne R. Campbell
Rianne R. Campbell is a scholar working on Cellular and Molecular Neuroscience, Neurology and Biological Psychiatry, having authored 23 papers that have together received 658 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (10 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (422 citations), Biological Psychiatry (36 citations) and Behavioral Neuroscience (41 citations). Rianne R. Campbell has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Marcelo A. Wood, Karen K. Szumlinski, Melissa G. Wroten, Matthias Klugmann, Georg von Jonquières, Alberto J. López, A. Thompson, Dina P. Matheos, Sema G. Quadir and Kevin D. Lominac. 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.