Kenneth A. Dyar
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 4
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 8
- Physiology top 1%
- Adipose Tissue and Metabolism 9
- Rehabilitation top 1%
- Cell Biology top 2%
- Muscle metabolism and nutrition 4
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- Muscle Physiology and Disorders 7
- Metabolomics and Mass Spectrometry Studies 4
- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 3
- Co-authors
- Stefano SchiaffinoBert BlaauwStefano CiciliotMarco SandriA. RossiPaolo Sassone‐CorsiPierre BaldiKristin Eckel‐Mahan
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Kenneth A. Dyar
29 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Aging 264
- Endocrine and Autonomic Systems 842
- Physiology 1.7k
- Rehabilitation 343
- Cell Biology 487
Countries citing papers authored by Kenneth A. Dyar
This map shows the geographic impact of Kenneth A. Dyar'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 Kenneth A. Dyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth A. Dyar more than expected).
Fields of papers citing papers by Kenneth A. Dyar
This network shows the impact of papers produced by Kenneth A. Dyar. 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 Kenneth A. Dyar. The network helps show where Kenneth A. Dyar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth A. Dyar, 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 | 2025 | 8 | |
| 2 | 2024 | 12 | |
| 3 | Exercise metabolism and adaptation in skeletal musclebreakdown → | 2023 | 136 |
| 4 | 2022 | 19 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 32 | |
| 9 | 2019 | 67 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 36 | |
| 13 | 2016 | 64 | |
| 14 | 2016 | 85 | |
| 15 | 2015 | 57 | |
| 16 | Muscle type and fiber type specificity in muscle wastingbreakdown → | 2013 | 473 |
| 17 | Reprogramming of the Circadian Clock by Nutritional Challengebreakdown → | 2013 | 539 |
| 18 | 2013 | 340 | |
| 19 | 2013 | 23 | |
| 20 | 2008 | 21 |
About Kenneth A. Dyar
Kenneth A. Dyar is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 30 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Circadian rhythm and melatonin (8 papers), Muscle Physiology and Disorders (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Muscle metabolism and nutrition (4 papers), Ubiquitin and proteasome pathways (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Aging (264 citations), Endocrine and Autonomic Systems (842 citations) and Physiology (1.7k citations). Kenneth A. Dyar has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Stefano Schiaffino, Bert Blaauw, Stefano Ciciliot, Marco Sandri, A. Rossi, Paolo Sassone‐Corsi, Pierre Baldi, Kristin Eckel‐Mahan, Vishal R. Patel and Saurabh Sahar.
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.