Kayla E. Wilson

470 citations
10 papers · 373 · h-index 7

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • Wnt/β-catenin signaling in development and cancer
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Protein Tyrosine Phosphatases

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Epigenetics and DNA Methylation 2
    • Fibroblast Growth Factor Research 1
    • Hippo pathway signaling and YAP/TAZ 6

Kayla E. Wilson

10 papers receiving 372 citations

Peers

Kayla E. Wilson
Comparison fields: 5 of 47
  • Cell Biology 225
  • Molecular Biology 249
  • Cancer Research 50
  • Oncology 58
  • Biochemistry 11
Replace Koichi Miyatake with:
Koichi Miyatake Japan
Aida Di Gregorio United Kingdom
Xiaochu Chen United States
Mei Mei China
Nobuyuki Tanimura Japan
Silvia Moleri Italy
Sun-Min Lee South Korea
Marissa A. LeBlanc Canada
Himjyot Jaiswal Sweden
Joana Catarina Macedo Portugal
Kayla E. Wilson relative to Koichi Miyatake Japan Koichi Miyatake's profile →
Citations per field
00.5×3.8×
Koichi Miyatake · 1×
Citations per year

Countries citing papers authored by Kayla E. Wilson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kayla E. Wilson Line = papers co-authored together Kayla E. Wilson links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012162
2 201467
3 201532
4 201730
5 201629
6 201425
7 201618
8
The Effect of Swimming Exercise on Amount and Quality of Sleep for Children with Autism Spectrum Disorder
20194
9 20123
10 20213

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 373 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), Child Therapy and Development (1 paper), MicroRNA in disease regulation (1 paper), Psychosocial Factors Impacting Youth (1 paper), Fibroblast Growth Factor Research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cell Biology (225 citations), Molecular Biology (249 citations), Cancer Research (50 citations), Oncology (58 citations) and Biochemistry (11 citations). Kayla E. Wilson has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Nuo Yang, Irwin H. Gelman, Carl Morrison, Sheila Figel, He Shen, Yingwei Li, Jianmin Zhang, Ashley Orillion, Jianmin Zhang and Jin Guo. Their work appears in journals such as Cell Cycle, Journal of Biological Chemistry, Development, FEBS Journal and Oncotarget.

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.

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