Ashlee E. Tyler

663 citations
9 papers · 536 · h-index 9

Impact in

  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • Muscle Physiology and Disorders
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Congenital heart defects research
    • Pluripotent Stem Cells Research
    • Developmental Biology and Gene Regulation

Papers in

    • Muscle Physiology and Disorders 8
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 1
    • Ubiquitin and proteasome pathways 1
    • Tissue Engineering and Regenerative Medicine 2

Ashlee E. Tyler

9 papers receiving 531 citations

Peers

Ashlee E. Tyler
Comparison fields: 5 of 54
  • Genetics 78
  • Molecular Biology 463
  • Aging 5
  • Cancer Research 38
  • Cell Biology 37
Replace Fatima Amor with:
Fatima Amor France
Malgorzata E. Quinn United States
Stefania Monteverde Italy
Philippe Rameau France
Linda Cairns Italy
Arif Aziz Canada
Jeffrey L. Feldman United States
Elisha Nathan Israel
Elija Schirwis France
Karen Farmer United States
Ashlee E. Tyler relative to Fatima Amor France Fatima Amor's profile →
Citations per field
00.5×2.7×
Fatima Amor · 1×
Citations per year

Countries citing papers authored by Ashlee E. Tyler

Since Specialization
Citations

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

Fields of papers citing papers by Ashlee E. Tyler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashlee E. Tyler. 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 Ashlee E. Tyler. The network helps show where Ashlee E. Tyler may publish in the future.

Co-authors

The 25 scholars most cited alongside Ashlee E. Tyler, 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 Ashlee E. Tyler Line = papers co-authored together Ashlee E. Tyler links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2009168
2 2007114
3 200976
4 201145
5 201244
6 200942
7 201223
8 201315
9 20129

About Ashlee E. Tyler

Ashlee E. Tyler is a scholar working on Molecular Biology, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Genetics, having authored 9 papers that have together received 536 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Epigenetics and DNA Methylation (1 paper), Ubiquitin and proteasome pathways (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Genetics (78 citations), Molecular Biology (463 citations), Aging (5 citations), Cancer Research (38 citations) and Cell Biology (37 citations). Ashlee E. Tyler has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Stephen J. Tapscott, Lisa Maves, Linda N. Geng, Cecilia B. Moens, Andrew J. Waskiewicz, Yi Cao, Silvère M. van der Maarel, Galina N. Filippova, Rabi Tawil and Daniel G. Miller. Their work appears in journals such as Skeletal Muscle, Epigenetics, Stem Cells, Developmental Biology and PLoS ONE.

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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