Cameron Wyatt
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
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- Single-cell and spatial transcriptomics 1
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- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- Emre Yaksi (3 shared papers)Luis M. Franco (1 shared paper)Florence Kermen (1 shared paper)Michell M. Reimer (3 shared papers)Catherina G. Becker (3 shared papers)Thomas Becker (3 shared papers)Veronika Kuscha (2 shared papers)Rebecca Frank (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Disease Models & Mechanisms (1 paper)European Journal of Neuroscience (1 paper)Developmental Cell (1 paper)eLife (1 paper)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Cameron Wyatt
9 papers receiving 397 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 144
- Cell Biology 177
- Sensory Systems 49
- Cellular and Molecular Neuroscience 140
- Neurology 30
Countries citing papers authored by Cameron Wyatt
This map shows the geographic impact of Cameron Wyatt'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 Cameron Wyatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Wyatt more than expected).
Fields of papers citing papers by Cameron Wyatt
This network shows the impact of papers produced by Cameron Wyatt. 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 Cameron Wyatt. The network helps show where Cameron Wyatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Cameron Wyatt, 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 | 2009 | 104 | |
| 2 | 2013 | 97 | |
| 3 | 2013 | 93 | |
| 4 | 2015 | 41 | |
| 5 | 2010 | 22 | |
| 6 | 2018 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 7 | |
| 9 | 2022 | 6 |
About Cameron Wyatt
Cameron Wyatt is a scholar working on Molecular Biology, Developmental Neuroscience, Cell Biology, Cellular and Molecular Neuroscience and Sensory Systems, having authored 9 papers that have together received 402 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Zebrafish Biomedical Research Applications (2 papers), Olfactory and Sensory Function Studies (2 papers), Single-cell and spatial transcriptomics (1 paper), Nerve injury and regeneration (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Caveolin-1 and cellular processes (1 paper). The work is most often cited by research in Developmental Neuroscience (144 citations), Cell Biology (177 citations), Sensory Systems (49 citations), Cellular and Molecular Neuroscience (140 citations) and Neurology (30 citations). Cameron Wyatt has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Emre Yaksi, Luis M. Franco, Florence Kermen, Michell M. Reimer, Catherina G. Becker, Thomas Becker, Veronika Kuscha, Rebecca Frank, Inga Sörensen and E. Elizabeth Patton. Their work appears in journals such as Journal of Neuroscience, Disease Models & Mechanisms, European Journal of Neuroscience, Developmental Cell and eLife.
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.