Steven D. Hicks

2.3k total citations
78 papers, 1.7k citations indexed

About

Steven D. Hicks is a scholar working on Epidemiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Steven D. Hicks has authored 78 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 17 papers in Molecular Biology and 15 papers in Cancer Research. Recurrent topics in Steven D. Hicks's work include MicroRNA in disease regulation (15 papers), Traumatic Brain Injury Research (12 papers) and Autism Spectrum Disorder Research (10 papers). Steven D. Hicks is often cited by papers focused on MicroRNA in disease regulation (15 papers), Traumatic Brain Injury Research (12 papers) and Autism Spectrum Disorder Research (10 papers). Steven D. Hicks collaborates with scholars based in United States, Myanmar and Mexico. Steven D. Hicks's co-authors include Frank A. Middleton, Michael W. Miller, Zofia E. Gagnon, Robert P. Olympia, Ingar Olsen, Kayla E. Wagner, Harry Bramley, Karen Gentile, Marsha B. Novick and Jeremy Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Steven D. Hicks

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven D. Hicks United States 23 636 372 357 240 204 78 1.7k
Luigi Cipolloni Italy 23 309 0.5× 173 0.5× 126 0.4× 171 0.7× 64 0.3× 66 1.6k
Li He China 27 590 0.9× 606 1.6× 75 0.2× 220 0.9× 100 0.5× 167 2.6k
Xiaolei Liu China 26 472 0.7× 217 0.6× 190 0.5× 96 0.4× 68 0.3× 121 2.1k
Søren Christensen Denmark 28 571 0.9× 247 0.7× 141 0.4× 110 0.5× 66 0.3× 81 2.6k
Su‐Jin Yang China 35 1.6k 2.6× 258 0.7× 1.4k 3.9× 185 0.8× 60 0.3× 94 3.3k
Jiang Xie China 22 343 0.5× 146 0.4× 144 0.4× 128 0.5× 84 0.4× 105 2.0k
Frank Zaldivar United States 34 849 1.3× 509 1.4× 302 0.8× 67 0.3× 295 1.4× 103 4.1k
Hao Huang China 20 305 0.5× 176 0.5× 73 0.2× 179 0.7× 80 0.4× 78 1.8k
Jin Yu China 23 434 0.7× 127 0.3× 62 0.2× 221 0.9× 43 0.2× 100 1.7k
Lorraine E. Levitt Katz United States 27 458 0.7× 193 0.5× 114 0.3× 82 0.3× 408 2.0× 79 2.0k

Countries citing papers authored by Steven D. Hicks

Since Specialization
Citations

This map shows the geographic impact of Steven D. Hicks'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 Steven D. Hicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven D. Hicks more than expected).

Fields of papers citing papers by Steven D. Hicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Hicks. 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 Steven D. Hicks. The network helps show where Steven D. Hicks may publish in the future.

Co-authorship network of co-authors of Steven D. Hicks

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Hicks. A scholar is included among the top collaborators of Steven D. Hicks 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 Steven D. Hicks. Steven D. Hicks 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.
Aditya, Teresa, Parikshit Moitra, Maha Alafeef, et al.. (2025). Tailored Anti‐miR Decorated Covalent Organic Framework Enables Electrochemical Detection of Salivary miRNAs for Mild Traumatic Brain Injury. Small. 21(14). e2412107–e2412107. 4 indexed citations
2.
3.
McGarry, Meghan E., Karen S. Raraigh, Philip M. Farrell, et al.. (2025). Cystic Fibrosis Newborn Screening: A Systematic Review-Driven Consensus Guideline from the United States Cystic Fibrosis Foundation. International Journal of Neonatal Screening. 11(2). 24–24. 3 indexed citations
4.
Vlies, André J. van der, et al.. (2025). Anti-miR oligo-mediated detection of human salivary microRNAs for mild traumatic brain injury. Biosensors and Bioelectronics. 278. 117333–117333. 1 indexed citations
5.
Hicks, Steven D., et al.. (2024). Associations of Maternal Breastmilk microRNAs and Infant Obesity Status at 1 Year. Genes. 15(6). 813–813. 1 indexed citations
6.
7.
Hicks, Steven D., et al.. (2023). Infant Saliva Levels of microRNA miR-151a-3p Are Associated with Risk for Neurodevelopmental Delay. International Journal of Molecular Sciences. 24(2). 1476–1476. 2 indexed citations
8.
Halstead, E. Scott, et al.. (2023). Multi-Omic Factors Associated with Frequency of Upper Respiratory Infections in Developing Infants. International Journal of Molecular Sciences. 24(2). 934–934. 3 indexed citations
9.
Hicks, Steven D., et al.. (2023). Infant Saliva Microbiome Activity Modulates Nutritional Impacts on Neurodevelopment. Microorganisms. 11(8). 2111–2111. 1 indexed citations
10.
Halstead, Scott B., et al.. (2022). Understanding immunological origins of atopic dermatitis through multi‐omic analysis. Pediatric Allergy and Immunology. 33(6). e13817–e13817. 11 indexed citations
11.
Halstead, E. Scott, et al.. (2022). Multi-omic factors associated with future wheezing in infants. Pediatric Research. 93(3). 579–585. 5 indexed citations
12.
Hicks, Steven D., John J. Leddy, Cayce Onks, et al.. (2022). Defining Biological Phenotypes of Mild Traumatic Brain Injury Using Saliva MicroRNA Profiles. Journal of Neurotrauma. 39(13-14). 923–934. 9 indexed citations
13.
Onks, Cayce, Robert P. Olympia, John J. Leddy, et al.. (2021). Saliva RNA biomarkers predict concussion duration and detect symptom recovery: a comparison with balance and cognitive testing. Journal of Neurology. 268(11). 4349–4361. 21 indexed citations
14.
Schaefer, Élise, et al.. (2021). Early influenza vaccination rates decline in children during the COVID-19 pandemic. Vaccine. 39(31). 4291–4295. 27 indexed citations
15.
Wagner, Kayla E., et al.. (2021). Longitudinal stability of salivary microRNA biomarkers in children and adolescents with autism spectrum disorder. Research in autism spectrum disorders. 85. 101788–101788. 7 indexed citations
16.
Hicks, Steven D., Robert P. Olympia, Cayce Onks, et al.. (2020). Saliva microRNA Biomarkers of Cumulative Concussion. International Journal of Molecular Sciences. 21(20). 7758–7758. 21 indexed citations
17.
Wagner, Kayla E., et al.. (2019). Parent Perspectives Towards Genetic and Epigenetic Testing for Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 50(9). 3114–3125. 23 indexed citations
18.
Hicks, Steven D., et al.. (2018). Validation of a Salivary RNA Test for Childhood Autism Spectrum Disorder. Frontiers in Genetics. 9. 534–534. 38 indexed citations
19.
Hicks, Steven D., et al.. (2017). Influenza vaccination rates in children decline when the live attenuated influenza vaccine is not recommended. Vaccine. 35(39). 5278–5282. 10 indexed citations
20.
Hicks, Steven D., Frank A. Middleton, & Michael W. Miller. (2010). Ethanol‐induced methylation of cell cycle genes in neural stem cells. Journal of Neurochemistry. 114(6). 1767–1780. 67 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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