Kaitlyn A. Webster

3.3k citations
16 papers · 2.2k indexed · 1 hit paper · h-index 13
Topics
Epigenetics and DNA Methylation (3 papers)MicroRNA in disease regulation (3 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)
Partner nations
United StatesItalyJapan

In The Last Decade

Kaitlyn A. Webster

14 papers receiving 2.1k citations

Hit Papers

In Vivo Identification of Tumor- Suppressive PTEN ceRNAs ...20112026201620212011100200300400500

Peers

Kaitlyn A. Webster
Comparison fields: 5 of 97
  • Molecular Biology 1.7k
  • Cancer Research 970
  • Genetics 331
  • Oncology 262
  • Reproductive Medicine 206
Replace Claudia Andreu‐Vieyra with:
Claudia Andreu‐Vieyra United States
Rajakumar Anbazhagan India
Martijn Kedde Netherlands
Elspeth M. Beauchamp United States
Marie Lia United States
Jolanta Kupryjańczyk Poland
Franca Citarella Italy
Jan Böhm Finland
Eleni Maniati United Kingdom
Elaine Hsuen Lim Singapore
Kaitlyn A. Webster relative to Claudia Andreu‐Vieyra United States Claudia Andreu‐Vieyra's profile →
Citations per field
00.5×3.3×
Claudia Andreu‐Vieyra · 1×
Citations per year

Countries citing papers authored by Kaitlyn A. Webster

Since Specialization
Citations

This map shows the geographic impact of Kaitlyn A. Webster'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 Kaitlyn A. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaitlyn A. Webster more than expected).

Fields of papers citing papers by Kaitlyn A. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlyn A. Webster. 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 Kaitlyn A. Webster. The network helps show where Kaitlyn A. Webster may publish in the future.

Co-authorship network of co-authors of Kaitlyn A. Webster

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlyn A. Webster. A scholar is included among the top collaborators of Kaitlyn A. Webster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaitlyn A. Webster. Kaitlyn A. Webster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3 12
4 12
5 230
6 25
7 80
8 221
9 45
10 114
11 369
12 257
13 143
14
In Vivo Identification of Tumor- Suppressive PTEN ceRNAs in an Oncogenic BRAF-Induced Mouse Model of Melanomabreakdown →
534
15 22
16 93

About Kaitlyn A. Webster

Kaitlyn A. Webster is a scholar working on Cancer Research, Molecular Biology and Aquatic Science, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cancer Research (970 citations), Physiology (134 citations) and Reproductive Medicine (206 citations). Kaitlyn A. Webster has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Pier Paolo Pandolfi, Ugo Ala, Su Jung Song, Min Sup Song, Christopher Ng, Kellee R. Siegfried, Yvonne Tay, Antonella Papa, Ursula Schach and Bruce W. Draper. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Genetics.

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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2026