Ryan Dickerson
Impact in
- Physiology top 10%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Rehabilitation top 10%
Papers in
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- Molecular Biology Techniques and Applications 1
-
- Diet and metabolism studies 4
- Adipose Tissue and Metabolism 2
- Co-authors
- Sashwati Roy (7 shared papers)Chandan K. Sen (4 shared papers)Scott Chaffee (2 shared papers)Soma Datta (1 shared paper)John Pieracci (2 shared papers)Gayle M. Gordillo (5 shared papers)Savita Khanna (4 shared papers)Jeff S. Volek (5 shared papers)
- Journals
- Antioxidants and Redox Signaling (3 papers)Wound Repair and Regeneration (1 paper)Biotechnology Journal (1 paper)Journal of the American College of Nutrition (1 paper)Growth Hormone & IGF Research (1 paper)
- Partner nations
- United StatesIrelandRussia
In The Last Decade
Ryan Dickerson
15 papers receiving 665 citations
Peers
Comparison fields: 5 of 95
- Physiology 172
- Rehabilitation 36
- Endocrinology, Diabetes and Metabolism 88
- Genetics 151
- Molecular Biology 297
Countries citing papers authored by Ryan Dickerson
This map shows the geographic impact of Ryan Dickerson'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 Ryan Dickerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Dickerson more than expected).
Fields of papers citing papers by Ryan Dickerson
This network shows the impact of papers produced by Ryan Dickerson. 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 Ryan Dickerson. The network helps show where Ryan Dickerson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Dickerson, 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 | 2015 | 173 | |
| 2 | 2019 | 163 | |
| 3 | 2020 | 71 | |
| 4 | 2019 | 70 | |
| 5 | 2012 | 56 | |
| 6 | 2016 | 37 | |
| 7 | 2011 | 29 | |
| 8 | 2020 | 22 | |
| 9 | 2024 | 17 | |
| 10 | 2012 | 15 | |
| 11 | 2014 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2017 | 3 | |
| 14 | 2020 | 2 | |
| 15 | Differential silver staining in lymphocytes and lymphoblastoid cell cultures. | 1988 | 1 |
About Ryan Dickerson
Ryan Dickerson is a scholar working on Molecular Biology, Physiology, Complementary and alternative medicine, Rehabilitation and Cell Biology, having authored 15 papers that have together received 683 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Papaya Research and Applications (3 papers), Muscle metabolism and nutrition (2 papers), Wound Healing and Treatments (2 papers), Virus-based gene therapy research (2 papers), Adipose Tissue and Metabolism (2 papers), Molecular Biology Techniques and Applications (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Physiology (172 citations), Rehabilitation (36 citations), Endocrinology, Diabetes and Metabolism (88 citations), Genetics (151 citations) and Molecular Biology (297 citations). Ryan Dickerson has collaborated with scholars based in United States, Ireland and Russia. Frequent co-authors include Sashwati Roy, Chandan K. Sen, Scott Chaffee, Soma Datta, John Pieracci, Gayle M. Gordillo, Savita Khanna, Jeff S. Volek, Parker N. Hyde and William J. Kraemer. Their work appears in journals such as Antioxidants and Redox Signaling, Wound Repair and Regeneration, Biotechnology Journal, Journal of the American College of Nutrition and Growth Hormone & IGF Research.
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.