T. Michael O’Shea

18.1k total citations
245 papers, 8.2k citations indexed

About

T. Michael O’Shea is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, T. Michael O’Shea has authored 245 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 201 papers in Pediatrics, Perinatology and Child Health, 148 papers in Pulmonary and Respiratory Medicine and 27 papers in Epidemiology. Recurrent topics in T. Michael O’Shea's work include Neonatal Respiratory Health Research (148 papers), Infant Development and Preterm Care (111 papers) and Neonatal and fetal brain pathology (92 papers). T. Michael O’Shea is often cited by papers focused on Neonatal Respiratory Health Research (148 papers), Infant Development and Preterm Care (111 papers) and Neonatal and fetal brain pathology (92 papers). T. Michael O’Shea collaborates with scholars based in United States, Germany and Egypt. T. Michael O’Shea's co-authors include Elizabeth N. Allred, Alan Leviton, Karl Kuban, Olaf Dammann, Nigel Paneth, Raina N. Fichorova, Douglas E. Lake, Robert M. Joseph, J. Randall Moorman and Deborah Hirtz and has published in prestigious journals such as JAMA, Nature Communications and PLoS ONE.

In The Last Decade

T. Michael O’Shea

236 papers receiving 8.0k citations

Peers

T. Michael O’Shea
Karl Kuban United States
Arend F. Bos Netherlands
Susan R. Hintz United States
Jeffrey M. Perlman United States
Rod W. Hunt Australia
Irwin Reiss Netherlands
Karl Kuban United States
T. Michael O’Shea
Citations per year, relative to T. Michael O’Shea T. Michael O’Shea (= 1×) peers Karl Kuban

Countries citing papers authored by T. Michael O’Shea

Since Specialization
Citations

This map shows the geographic impact of T. Michael O’Shea'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 T. Michael O’Shea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Michael O’Shea more than expected).

Fields of papers citing papers by T. Michael O’Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Michael O’Shea. 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 T. Michael O’Shea. The network helps show where T. Michael O’Shea may publish in the future.

Co-authorship network of co-authors of T. Michael O’Shea

This figure shows the co-authorship network connecting the top 25 collaborators of T. Michael O’Shea. A scholar is included among the top collaborators of T. Michael O’Shea 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 T. Michael O’Shea. T. Michael O’Shea 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.
Roell, Kyle R., et al.. (2025). Placental epigenetic age and adolescent blood pressure: the Extremely Low Gestational Age Newborn cohort. Pediatric Research. 98(5). 1780–1788.
2.
McFayden, Tyler C., Clare Harrop, Kyle R. Roell, et al.. (2024). Sex Differences in Autistic Youth Born Extremely Preterm. Journal of Autism and Developmental Disorders. 56(2). 830–837.
3.
Shapiro, Allison, David Cochran, T. Michael O’Shea, et al.. (2024). Prediction of internalizing and externalizing symptoms in late childhood from attention-deficit/hyperactivity disorder symptoms in early childhood.. UNC Libraries. 1 indexed citations
4.
Camerota, Marie, Barry M. Lester, F. Xavier Castellanos, et al.. (2024). Epigenome-wide association study identifies neonatal DNA methylation associated with two-year attention problems in children born very preterm. Translational Psychiatry. 14(1). 126–126. 2 indexed citations
6.
Sanderson, Keia, et al.. (2023). Accelerated Aging and the Life Course of Individuals Born Preterm. Children. 10(10). 1683–1683. 3 indexed citations
7.
Santos, Hudson P., Kyle R. Roell, Vasyl Zhabotynsky, et al.. (2023). Sexually dimorphic methylation patterns characterize the placenta and blood from extremely preterm newborns. BMC Biology. 21(1). 173–173. 6 indexed citations
8.
Bhattacharya, Arjun, Vennela Avula, Weifang Liu, et al.. (2022). Placental genomics mediates genetic associations with complex health traits and disease. Nature Communications. 13(1). 706–706. 28 indexed citations
9.
Eaves, Lauren A., Julia E. Rager, Lisa Smeester, et al.. (2022). The Placenta Epigenome–Brain Axis: Placental Epigenomic and Transcriptomic Responses that Preprogram Cognitive Impairment. Epigenomics. 14(15). 897–911. 15 indexed citations
10.
Li, Gang, Laura M. Raffield, Mark W. Logue, et al.. (2020). CUE: CpG impUtation ensemble for DNA methylation levels across the human methylation450 (HM450) and EPIC (HM850) BeadChip platforms. Epigenetics. 16(8). 851–861. 2 indexed citations
11.
Eaves, Lauren A., Hudson P. Santos, Lisa Smeester, et al.. (2020). Placental genomic and epigenomic signatures associated with infant birth weight highlight mechanisms involved in collagen and growth factor signaling. Reproductive Toxicology. 96. 221–230. 16 indexed citations
12.
Venkatesh, Kartik K., Alan Leviton, Jonathan L. Hecht, et al.. (2020). Histologic chorioamnionitis and risk of neurodevelopmental impairment at age 10 years among extremely preterm infants born before 28 weeks of gestation. American Journal of Obstetrics and Gynecology. 223(5). 745.e1–745.e10. 45 indexed citations
13.
Santos, Hudson P., Arjun Bhattacharya, Robert Joseph, et al.. (2020). Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm. Molecular Autism. 11(1). 97–97. 35 indexed citations
14.
Martin, Elizabeth M., Catherine M. Bulka, Lisa Smeester, et al.. (2019). Associations between placental CpG methylation of metastable epialleles and childhood body mass index across ages one, two and ten in the Extremely Low Gestational Age Newborns (ELGAN) cohort. Epigenetics. 14(11). 1102–1111. 19 indexed citations
15.
Allred, Elizabeth N., Carmina Erdei, Karl Kuban, et al.. (2018). Socioemotional dysfunctions at age 10 years in extremely preterm newborns with late-onset bacteremia. Early Human Development. 121. 1–7. 3 indexed citations
16.
Swanson, Jonathan R., Robert A. Sinkin, Douglas E. Lake, et al.. (2018). Neonatal Intensive Care Unit Length of Stay Reduction by Heart Rate Characteristics Monitoring. The Journal of Pediatrics. 198. 162–167. 16 indexed citations
17.
Jackson, Wesley, T. Michael O’Shea, Elizabeth N. Allred, et al.. (2018). Risk factors for chronic lung disease and asthma differ among children born extremely preterm. Pediatric Pulmonology. 53(11). 1533–1540. 18 indexed citations
18.
Bangma, Jacqueline, Matthew A. Psioda, Hudson P. Santos, et al.. (2018). Assessing Positive Child Health among Individuals Born Extremely Preterm. The Journal of Pediatrics. 202. 44–49.e4. 7 indexed citations
19.
D’Angio, Carl T., Roy J. Heyne, T. Michael O’Shea, et al.. (2010). Heptavalent Pneumococcal Conjugate Vaccine Immunogenicity in Very-Low-Birth-Weight, Premature Infants. The Pediatric Infectious Disease Journal. 29(7). 600–606. 18 indexed citations
20.
O’Shea, T. Michael, Lisa K. Washburn, Patricia A. Nixon, & Donald J. Goldstein. (2007). Follow-up of a Randomized, Placebo-Controlled Trial of Dexamethasone to Decrease the Duration of Ventilator Dependency in Very Low Birth Weight Infants: Neurodevelopmental Outcomes at 4 to 11 Years of Age. PEDIATRICS. 120(3). 594–602. 49 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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