Michael C. Dyle
Impact in
- Aging top 10%
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
-
- Muscle Physiology and Disorders 10
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
-
- Genetic Neurodegenerative Diseases 3
- Co-authors
- Christopher M. Adams (11 shared papers)Scott M. Ebert (10 shared papers)Steven A. Bullard (8 shared papers)Daniel K. Fox (7 shared papers)Kale S. Bongers (7 shared papers)Steven D. Kunkel (6 shared papers)Jason M. Dierdorff (7 shared papers)Christopher Elmore (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)American Journal of Physiology-Endocrinology and Metabolism (3 papers)Current Opinion in Clinical Nutrition & Metabolic Care (2 papers)PLoS ONE (1 paper)Planta (1 paper)
- Partner nations
- United StatesItalyRussia
In The Last Decade
Michael C. Dyle
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Aging 34
- Rehabilitation 99
- Geriatrics and Gerontology 39
- Physiology 295
- Cell Biology 175
Countries citing papers authored by Michael C. Dyle
This map shows the geographic impact of Michael C. Dyle'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 Michael C. Dyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Dyle more than expected).
Fields of papers citing papers by Michael C. Dyle
This network shows the impact of papers produced by Michael C. Dyle. 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 Michael C. Dyle. The network helps show where Michael C. Dyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Dyle, 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 | 189 | |
| 2 | 2012 | 175 | |
| 3 | 2013 | 113 | |
| 4 | 2014 | 109 | |
| 5 | 2015 | 96 | |
| 6 | 2014 | 94 | |
| 7 | 2019 | 71 | |
| 8 | 2014 | 47 | |
| 9 | 2016 | 40 | |
| 10 | 2017 | 36 | |
| 11 | 2019 | 26 | |
| 12 | 2012 | 24 | |
| 13 | 2021 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2023 | 18 | |
| 16 | 2019 | 5 | |
| 17 | Test english as a foreign language | 2014 | 1 |
About Michael C. Dyle
Michael C. Dyle is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Genetics, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Adipose Tissue and Metabolism (3 papers), Genetic Neurodegenerative Diseases (3 papers), Cardiomyopathy and Myosin Studies (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Exercise and Physiological Responses (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Aging (34 citations), Rehabilitation (99 citations), Geriatrics and Gerontology (39 citations), Physiology (295 citations) and Cell Biology (175 citations). Michael C. Dyle has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include Christopher M. Adams, Scott M. Ebert, Steven A. Bullard, Daniel K. Fox, Kale S. Bongers, Steven D. Kunkel, Jason M. Dierdorff, Christopher Elmore, Sujatha Jagannathan and Eric D. Foster. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, Current Opinion in Clinical Nutrition & Metabolic Care, PLoS ONE and Planta.
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.