Rianne R. Campbell
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- Neurotransmitter Receptor Influence on Behavior 13
- Neuroscience and Neuropharmacology Research 10
- Biological Psychiatry top 10%
- Behavioral Neuroscience top 10%
- Developmental Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms 4
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- Receptor Mechanisms and Signaling 10
- Epigenetics and DNA Methylation 2
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- Neuroinflammation and Neurodegeneration Mechanisms 5
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- Adipose Tissue and Metabolism 3
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- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Marcelo A. WoodKaren K. SzumlinskiMelissa G. WrotenMatthias KlugmannGeorg von JonquièresAlberto J. LópezA. ThompsonDina P. Matheos
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Neuroscience (5 papers)Nature reviews. Neuroscience (1 paper)
- 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
- Biological Psychiatry 36
- Behavioral Neuroscience 41
- Developmental Neuroscience 37
- Cognitive Neuroscience 127
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
The 25 scholars most cited alongside Rianne R. Campbell, 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 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 23 | |
| 11 | 2019 | 109 | |
| 12 | 2019 | 16 | |
| 13 | 2017 | 29 | |
| 14 | 2016 | 59 | |
| 15 | 2016 | 47 | |
| 16 | 2016 | 35 | |
| 17 | 2015 | 33 | |
| 18 | 2014 | 50 | |
| 19 | 2013 | 64 | |
| 20 | 2013 | 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), Receptor Mechanisms and Signaling (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Memory and Neural Mechanisms (4 papers), Adipose Tissue and Metabolism (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Epigenetics and DNA Methylation (2 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.