Ryan C. Smith
Impact in
Papers in
- Epidemiology 11
- Substance Abuse Treatment and Outcomes 8
-
- Alcohol Consumption and Health Effects 6
- Co-authors
- Varun B. Dwaraka (22 shared papers)Tavis L. Mendez (9 shared papers)E. Scott Geller (6 shared papers)George Y. Tokiwa (2 shared papers)Hongyue A. Dai (2 shared papers)Nikki P.Y. Lee (1 shared paper)Mao Mao (1 shared paper)Ronnie T. P. Poon (1 shared paper)
- Journals
- Aging (3 papers)Cells (2 papers)BMC Medicine (2 papers)Nature Aging (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Ryan C. Smith
42 papers receiving 1.3k citations
Ryan C. Smith's Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 29
- Genetics 412
- Cancer Research 188
- Molecular Biology 726
- Physiology 122
Countries citing papers authored by Ryan C. Smith
This map shows the geographic impact of Ryan C. Smith'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 C. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan C. Smith more than expected).
Fields of papers citing papers by Ryan C. Smith
This network shows the impact of papers produced by Ryan C. Smith. 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 C. Smith. The network helps show where Ryan C. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan C. Smith, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the Genetic Architecture of Gene Expression in Human Liver Hit paper breakdown → | 2008 | 782 |
| 2 | 2010 | 173 | |
| 3 | 2024 | 42 | |
| 4 | 2023 | 39 | |
| 5 | 2023 | 34 | |
| 6 | 2022 | 33 | |
| 7 | 2023 | 30 | |
| 8 | 2024 | 28 | |
| 9 | 2024 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2009 | 14 | |
| 15 | 2024 | 11 | |
| 16 | 2009 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 7 | |
| 20 | 2011 | 6 |
About Ryan C. Smith
Ryan C. Smith is a scholar working on Epidemiology, Pathology and Forensic Medicine, Molecular Biology, Physiology and Cell Biology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Substance Abuse Treatment and Outcomes (8 papers), Alcohol Consumption and Health Effects (6 papers), Muscle metabolism and nutrition (3 papers), Immune responses and vaccinations (3 papers), RNA modifications and cancer (3 papers), Adipose Tissue and Metabolism (3 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Aging (29 citations), Genetics (412 citations), Cancer Research (188 citations), Molecular Biology (726 citations) and Physiology (122 citations). Ryan C. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Varun B. Dwaraka, Tavis L. Mendez, E. Scott Geller, George Y. Tokiwa, Hongyue A. Dai, Nikki P.Y. Lee, Mao Mao, Ronnie T. P. Poon, Pak Chung Sham and Angela M. Liu. Their work appears in journals such as Aging, Cells, BMC Medicine, Nature Aging and Nature Communications.
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.