Suzanne Claxton
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Zebrafish Biomedical Research Applications
Papers in
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- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 2
- Angiogenesis and VEGF in Cancer 2
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- Hippo pathway signaling and YAP/TAZ 3
- Microtubule and mitosis dynamics 2
- Co-authors
- Marcus Fruttiger (4 shared papers)Vassiliki Kostourou (1 shared paper)Kairbaan Hodivala‐Dilke (1 shared paper)Shalini Jadeja (1 shared paper)Pierre Chambon (1 shared paper)Siew‐Lan Ang (2 shared papers)Martin Lévesque (1 shared paper)Siew-Lan Ang (1 shared paper)
- Journals
- Nature Communications (2 papers)Life Science Alliance (2 papers)The EMBO Journal (1 paper)ACS Nano (1 paper)Neuron (1 paper)
- Partner nations
- United KingdomUnited StatesTanzania
In The Last Decade
Suzanne Claxton
15 papers receiving 858 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 75
- Cell Biology 194
- Endocrine and Autonomic Systems 73
- Cellular and Molecular Neuroscience 169
- Molecular Biology 512
Countries citing papers authored by Suzanne Claxton
This map shows the geographic impact of Suzanne Claxton'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 Suzanne Claxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Claxton more than expected).
Fields of papers citing papers by Suzanne Claxton
This network shows the impact of papers produced by Suzanne Claxton. 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 Suzanne Claxton. The network helps show where Suzanne Claxton may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Claxton, 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 | 2008 | 232 | |
| 2 | 2011 | 112 | |
| 3 | 2006 | 107 | |
| 4 | 2004 | 98 | |
| 5 | 2014 | 61 | |
| 6 | 2003 | 61 | |
| 7 | 2018 | 55 | |
| 8 | 2005 | 35 | |
| 9 | 2020 | 34 | |
| 10 | 2013 | 27 | |
| 11 | 2024 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2025 | 3 |
About Suzanne Claxton
Suzanne Claxton is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Surgery and Endocrine and Autonomic Systems, having authored 15 papers that have together received 863 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Microtubule and mitosis dynamics (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Axon Guidance and Neuronal Signaling (2 papers), RNA Research and Splicing (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (75 citations), Cell Biology (194 citations), Endocrine and Autonomic Systems (73 citations), Cellular and Molecular Neuroscience (169 citations) and Molecular Biology (512 citations). Suzanne Claxton has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Marcus Fruttiger, Vassiliki Kostourou, Kairbaan Hodivala‐Dilke, Shalini Jadeja, Pierre Chambon, Siew‐Lan Ang, Martin Lévesque, Siew-Lan Ang, Randy L. Johnson and Carol H. Yan. Their work appears in journals such as Nature Communications, Life Science Alliance, The EMBO Journal, ACS Nano and Neuron.
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.