Ryan Deaton
Impact in
-
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Cancer, Lipids, and Metabolism 4
- MicroRNA in disease regulation 3
-
- RNA Research and Splicing 2
- Co-authors
- Peter H. Gann (29 shared papers)Michael R. Pins (2 shared papers)Ximing J. Yang (2 shared papers)Vijayalakshmi Ananthanarayanan (2 shared papers)Virgilia Macias (10 shared papers)Andre Kajdacsy‐Balla (9 shared papers)Larisa Nonn (8 shared papers)Edward F. Vonesh (1 shared paper)
- Journals
- The Prostate (4 papers)PLoS ONE (4 papers)Cancer Research (4 papers)Journal of Allergy and Clinical Immunology (2 papers)Experimental Eye Research (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Ryan Deaton
39 papers receiving 737 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 104
- Biochemistry 34
- Nutrition and Dietetics 83
- Pulmonary and Respiratory Medicine 149
- Geriatrics and Gerontology 12
Countries citing papers authored by Ryan Deaton
This map shows the geographic impact of Ryan Deaton'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 Deaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Deaton more than expected).
Fields of papers citing papers by Ryan Deaton
This network shows the impact of papers produced by Ryan Deaton. 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 Deaton. The network helps show where Ryan Deaton may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Deaton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 63 | |
| 2 | 2013 | 56 | |
| 3 | 2010 | 54 | |
| 4 | 2006 | 51 | |
| 5 | 2016 | 49 | |
| 6 | 2014 | 39 | |
| 7 | 2016 | 39 | |
| 8 | 2020 | 38 | |
| 9 | 2016 | 37 | |
| 10 | 2015 | 30 | |
| 11 | 2015 | 28 | |
| 12 | 2015 | 28 | |
| 13 | 2013 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2017 | 21 | |
| 16 | 2012 | 20 | |
| 17 | 2017 | 18 | |
| 18 | 2019 | 14 | |
| 19 | 2013 | 13 | |
| 20 | 2017 | 13 |
About Ryan Deaton
Ryan Deaton is a scholar working on Cancer Research, Molecular Biology, Nutrition and Dietetics, Surgery and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 750 indexed citations. Recurring topics across this work include Selenium in Biological Systems (5 papers), Cancer, Lipids, and Metabolism (4 papers), Trace Elements in Health (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), MicroRNA in disease regulation (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Eosinophilic Esophagitis (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (104 citations), Biochemistry (34 citations), Nutrition and Dietetics (83 citations), Pulmonary and Respiratory Medicine (149 citations) and Geriatrics and Gerontology (12 citations). Ryan Deaton has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Peter H. Gann, Michael R. Pins, Ximing J. Yang, Vijayalakshmi Ananthanarayanan, Virgilia Macias, Andre Kajdacsy‐Balla, Larisa Nonn, Edward F. Vonesh, Angela J. Fought and William J. Catàlona. Their work appears in journals such as The Prostate, PLoS ONE, Cancer Research, Journal of Allergy and Clinical Immunology and Experimental Eye 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.