Sean Shadle
Impact in
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- Muscle Physiology and Disorders
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- Genetics top 10%
Papers in
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- Muscle Physiology and Disorders 6
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 4
- Pluripotent Stem Cells Research 2
- Epigenetics and DNA Methylation 1
- Protein Degradation and Inhibitors 1
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- Telomeres, Telomerase, and Senescence 1
- Co-authors
- Stephen J. Tapscott (8 shared papers)Silvère M. van der Maarel (7 shared papers)Amy E. Campbell (6 shared papers)Rabi Tawil (4 shared papers)Sujatha Jagannathan (3 shared papers)Rebecca Resnick (3 shared papers)Robert K. Bradley (2 shared papers)Olga Varlamova (1 shared paper)
- Journals
- Human Molecular Genetics (3 papers)Developmental Cell (1 paper)Skeletal Muscle (1 paper)Epigenetics (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesNetherlandsSouth Africa
In The Last Decade
Sean Shadle
10 papers receiving 652 citations
Peers
Comparison fields: 5 of 41
- Molecular Biology 582
- Genetics 71
- Cardiology and Cardiovascular Medicine 70
- Aging 6
- Immunology 47
Countries citing papers authored by Sean Shadle
This map shows the geographic impact of Sean Shadle'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 Sean Shadle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Shadle more than expected).
Fields of papers citing papers by Sean Shadle
This network shows the impact of papers produced by Sean Shadle. 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 Sean Shadle. The network helps show where Sean Shadle may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Shadle, 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 | 2011 | 133 | |
| 2 | 2016 | 83 | |
| 3 | 2019 | 79 | |
| 4 | 2017 | 75 | |
| 5 | 2021 | 69 | |
| 6 | 2015 | 57 | |
| 7 | 2017 | 53 | |
| 8 | 2018 | 48 | |
| 9 | 2018 | 37 | |
| 10 | 2019 | 28 |
About Sean Shadle
Sean Shadle is a scholar working on Molecular Biology, Physiology, Genetics, Oncology and Biomaterials, having authored 10 papers that have together received 662 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (4 papers), Pluripotent Stem Cells Research (2 papers), Epigenetics and DNA Methylation (1 paper), Silk-based biomaterials and applications (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (582 citations), Genetics (71 citations), Cardiology and Cardiovascular Medicine (70 citations), Aging (6 citations) and Immunology (47 citations). Sean Shadle has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include Stephen J. Tapscott, Silvère M. van der Maarel, Amy E. Campbell, Rabi Tawil, Sujatha Jagannathan, Rebecca Resnick, Robert K. Bradley, Olga Varlamova, Wensi Wang and Carl Pelz. Their work appears in journals such as Human Molecular Genetics, Developmental Cell, Skeletal Muscle, Epigenetics and The EMBO Journal.
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.