Ryan W. Dellinger
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine 13
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 4
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 11
- Biological Psychiatry top 5%
- Aging top 5%
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- PARP inhibition in cancer therapy 6
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- Neonatal Health and Biochemistry 4
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- Cancer therapeutics and mechanisms 4
- Genomics, phytochemicals, and oxidative stress 3
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- Amyotrophic Lateral Sclerosis Research 3
- Co-authors
- Philip LazarusFrank L. MeyskensMarie E. MigaudPhilip RedpathZhonggang LiSamuel A.J. TrammellFrank JakschMark S. Schmidt
- Partner nations
- United StatesSpainIndia
In The Last Decade
Ryan W. Dellinger
39 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Geriatrics and Gerontology 721
- Physiology 386
- Pharmacology 384
- Biological Psychiatry 106
- Aging 59
Countries citing papers authored by Ryan W. Dellinger
This map shows the geographic impact of Ryan W. Dellinger'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 W. Dellinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan W. Dellinger more than expected).
Fields of papers citing papers by Ryan W. Dellinger
This network shows the impact of papers produced by Ryan W. Dellinger. 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 W. Dellinger. The network helps show where Ryan W. Dellinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryan W. Dellinger, 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 | 2024 | 11 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 10 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 32 | |
| 8 | 2018 | 4 | |
| 9 | 2017 | 133 | |
| 10 | 2016 | 273 | |
| 11 | 2015 | 1 | |
| 12 | 2014 | 89 | |
| 13 | 2014 | 10 | |
| 14 | 2013 | 76 | |
| 15 | 2009 | 15 | |
| 16 | 2008 | 38 | |
| 17 | 2007 | 54 | |
| 18 | 2007 | 82 | |
| 19 | 2007 | 75 | |
| 20 | 2003 | 5 |
About Ryan W. Dellinger
Ryan W. Dellinger is a scholar working on Geriatrics and Gerontology, Pharmacology, Physiology, Oncology and Biological Psychiatry, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (13 papers), Pharmacogenetics and Drug Metabolism (11 papers), PARP inhibition in cancer therapy (6 papers), Neonatal Health and Biochemistry (4 papers), Cancer therapeutics and mechanisms (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (721 citations), Physiology (386 citations), Pharmacology (384 citations), Biological Psychiatry (106 citations) and Aging (59 citations). Ryan W. Dellinger has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Philip Lazarus, Frank L. Meyskens, Marie E. Migaud, Philip Redpath, Zhonggang Li, Samuel A.J. Trammell, Frank Jaksch, Mark S. Schmidt, E. Dale Abel and Charles Brenner. Their work appears in journals such as Drug Metabolism and Disposition, Cancer Research, Hepatology, Pharmacogenetics and Genomics and Cell Metabolism.
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.