Ryan Smith

1.8k total citations
32 papers, 444 citations indexed

About

Ryan Smith is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Ryan Smith has authored 32 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Physiology. Recurrent topics in Ryan Smith's work include Epigenetics and DNA Methylation (11 papers), Substance Abuse Treatment and Outcomes (7 papers) and Alcohol Consumption and Health Effects (6 papers). Ryan Smith is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Substance Abuse Treatment and Outcomes (7 papers) and Alcohol Consumption and Health Effects (6 papers). Ryan Smith collaborates with scholars based in United States, China and Spain. Ryan Smith's co-authors include Varun B. Dwaraka, George Tokiwa, Hongyue Dai, John M. Luk, Brian Lam, Pak C. Sham, John R. Lamb, Chunsheng Zhang, Angela M. Liu and Ronnie T. P. Poon and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Ryan Smith

30 papers receiving 428 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan Smith United States 11 300 133 62 36 33 32 444
Edward A. Meister United States 14 266 0.9× 158 1.2× 63 1.0× 37 1.0× 85 2.6× 27 607
Elmo W. I. Neuberger Germany 14 337 1.1× 174 1.3× 75 1.2× 68 1.9× 24 0.7× 37 586
Wenjie Cai China 11 159 0.5× 57 0.4× 62 1.0× 37 1.0× 71 2.2× 31 536
Theresa Swift‐Scanlan United States 14 493 1.6× 156 1.2× 49 0.8× 124 3.4× 50 1.5× 32 693
Lydia Choi United States 10 146 0.5× 85 0.6× 53 0.9× 36 1.0× 33 1.0× 21 430
Sudhanshu Patwardhan United Kingdom 6 198 0.7× 43 0.3× 73 1.2× 41 1.1× 23 0.7× 13 381
Sang Mi Lee South Korea 9 136 0.5× 136 1.0× 27 0.4× 18 0.5× 20 0.6× 52 440
Zac Chatterton Australia 12 330 1.1× 94 0.7× 50 0.8× 70 1.9× 19 0.6× 21 449
Si Wu China 9 126 0.4× 35 0.3× 42 0.7× 28 0.8× 43 1.3× 19 344
Nengyong Ouyang China 14 191 0.6× 102 0.8× 68 1.1× 15 0.4× 18 0.5× 28 603

Countries citing papers authored by Ryan Smith

Since Specialization
Citations

This map shows the geographic impact of Ryan 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 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 Smith more than expected).

Fields of papers citing papers by Ryan Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan 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 Smith. The network helps show where Ryan Smith may publish in the future.

Co-authorship network of co-authors of Ryan Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Smith. A scholar is included among the top collaborators of Ryan Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan Smith. Ryan Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Robertson, Janet, Kirsten Seale, Qingwen Chen, et al.. (2025). Variations in Innate Immune Cell Subtypes Correlate with Epigenetic Clocks, Inflammaging and Health Outcomes. Advanced Science. 12(43). e05922–e05922. 1 indexed citations
2.
Cáceres, Alejandro, et al.. (2025). Defective X-chromosome inactivation and cancer risk in women. Communications Biology. 8(1). 289–289. 2 indexed citations
3.
Suhre, Karsten, Qingwen Chen, Anna Halama, et al.. (2025). A genome-wide association study of mass spectrometry proteomics using a nanoparticle enrichment platform. Nature Genetics. 57(12). 2987–2996.
4.
5.
Dwaraka, Varun B., Qingwen Chen, Q. Luo, et al.. (2024). Quantifying the stochastic component of epigenetic aging. Nature Aging. 4(6). 886–901. 30 indexed citations
6.
Bland, Jeffrey S., et al.. (2024). The impact of a polyphenol-rich supplement on epigenetic and cellular markers of immune age: a pilot clinical study. Frontiers in Nutrition. 11. 1474597–1474597. 3 indexed citations
7.
Dwaraka, Varun B., Lucia Aronica, Jennifer L. Robinson, et al.. (2024). Unveiling the epigenetic impact of vegan vs. omnivorous diets on aging: insights from the Twins Nutrition Study (TwiNS). BMC Medicine. 22(1). 301–301. 12 indexed citations
8.
Lee, Edwin, Aaron E. Lin, Tavis L. Mendez, et al.. (2024). Exploring the effects of Dasatinib, Quercetin, and Fisetin on DNA methylation clocks: a longitudinal study on senolytic interventions. Aging. 16(4). 3088–3106. 15 indexed citations
9.
Sexton, Casey L., Joshua S. Godwin, Bradley A. Ruple, et al.. (2023). Skeletal Muscle DNA Methylation and mRNA Responses to a Bout of Higher versus Lower Load Resistance Exercise in Previously Trained Men. Cells. 12(2). 263–263. 23 indexed citations
10.
Goldberg, David, Toshinori Hinoue, Hongtao Li, et al.. (2023). Comprehensive evaluation of the Infinium human MethylationEPIC v2 BeadChip. SHILAP Revista de lepidopterología. 3(1). 32 indexed citations
11.
Luo, Q., Varun B. Dwaraka, Qingwen Chen, et al.. (2023). A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes. Genome Medicine. 15(1). 59–59. 29 indexed citations
12.
Sexton, Casey L., Joshua S. Godwin, Bradley A. Ruple, et al.. (2023). Different Resistance Exercise Loading Paradigms Similarly Affect Skeletal Muscle Gene Expression Patterns of Myostatin-Related Targets and mTORC1 Signaling Markers. Cells. 12(6). 898–898. 14 indexed citations
13.
Dwaraka, Varun B., et al.. (2023). Impact of tobacco, alcohol, and marijuana on genome-wide DNA methylation and its relationship with hypertension. Epigenetics. 18(1). 2214392–2214392. 5 indexed citations
14.
Smith, Ryan, et al.. (2015). Naturalistic Driving Study: Alcohol Sensor Performance. Transportation Research Board eBooks. 2 indexed citations
15.
Smith, Ryan, et al.. (2013). Operation BRAVE Families: A Preventive Approach to Lessening the Impact of War on Military Families Through Preclinical Engagement. Military Medicine. 178(2). 174–179. 5 indexed citations
16.
Smith, Ryan, et al.. (2013). A field investigation of perceived behavioral control and blood alcohol content: A pattern-oriented approach. Addictive Behaviors. 38(4). 2080–2083. 4 indexed citations
17.
Hoffman, Matthew J., et al.. (2010). Bisphenol A and Phthalates: Public Knowledge and Risk Perception. ScholarWorks -A service of University of Vermont Libraries (University of Vermont). 174–6. 4 indexed citations
18.
Burchard, Julja, Chunsheng Zhang, Angela M. Liu, et al.. (2010). microRNA‐122 as a regulator of mitochondrial metabolic gene network in hepatocellular carcinoma. Molecular Systems Biology. 6(1). 402–402. 165 indexed citations
19.
Smith, Ryan & E. Scott Geller. (2009). Marketing and alcohol-related traffic fatalities: Impact of alcohol advertising targeting minors. Journal of Safety Research. 40(5). 359–364. 10 indexed citations
20.
Duenwald, Sven, Mingjie Zhou, Yanqun Wang, et al.. (2009). Development of a microarray platform for FFPET profiling: application to the classification of human tumors. Journal of Translational Medicine. 7(1). 65–65. 14 indexed citations

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.

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