Kayla E. Wilson
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
-
- Wnt/β-catenin signaling in development and cancer
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Protein Tyrosine Phosphatases
- RNA modifications and cancer
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- Epigenetics and DNA Methylation 2
- Fibroblast Growth Factor Research 1
- Ubiquitin and proteasome pathways 1
- Circular RNAs in diseases 1
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- Hippo pathway signaling and YAP/TAZ 6
- Co-authors
- Nuo Yang (6 shared papers)Carl Morrison (1 shared paper)Sheila Figel (2 shared papers)Irwin H. Gelman (2 shared papers)He Shen (3 shared papers)Yingwei Li (2 shared papers)Jianmin Zhang (3 shared papers)Ashley Orillion (1 shared paper)
- Journals
- FEBS Journal (1 paper)Journal of Biological Chemistry (1 paper)Oncotarget (1 paper)Development (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Kayla E. Wilson
10 papers receiving 380 citations
Peers
Comparison fields: 5 of 47
- Cell Biology 225
- Molecular Biology 241
- Cancer Research 44
- Oncology 55
- Biochemistry 10
Countries citing papers authored by Kayla E. Wilson
This map shows the geographic impact of Kayla E. Wilson'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 Kayla E. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayla E. Wilson more than expected).
Fields of papers citing papers by Kayla E. Wilson
This network shows the impact of papers produced by Kayla E. Wilson. 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 Kayla E. Wilson. The network helps show where Kayla E. Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Kayla E. Wilson, 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 | 2012 | 165 | |
| 2 | 2014 | 69 | |
| 3 | 2015 | 32 | |
| 4 | 2017 | 31 | |
| 5 | 2016 | 30 | |
| 6 | 2014 | 26 | |
| 7 | 2016 | 18 | |
| 8 | The Effect of Swimming Exercise on Amount and Quality of Sleep for Children with Autism Spectrum Disorder | 2019 | 4 |
| 9 | 2021 | 3 | |
| 10 | 2012 | 3 |
About Kayla E. Wilson
Kayla E. Wilson is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 381 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (6 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Fibroblast Growth Factor Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Genetic Syndromes and Imprinting (1 paper), Family and Disability Support Research (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cell Biology (225 citations), Molecular Biology (241 citations), Cancer Research (44 citations), Oncology (55 citations) and Biochemistry (10 citations). Kayla E. Wilson has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Nuo Yang, Carl Morrison, Sheila Figel, Irwin H. Gelman, He Shen, Yingwei Li, Jianmin Zhang, Ashley Orillion, Jianmin Zhang and Jin Guo. Their work appears in journals such as FEBS Journal, Journal of Biological Chemistry, Oncotarget, Development and International Journal of Biological Sciences.
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.