Steven E. Domino

3.4k total citations
60 papers, 2.2k citations indexed

About

Steven E. Domino is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Steven E. Domino has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Health, Toxicology and Mutagenesis and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Steven E. Domino's work include Effects and risks of endocrine disrupting chemicals (12 papers), Birth, Development, and Health (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Steven E. Domino is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (12 papers), Birth, Development, and Health (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Steven E. Domino collaborates with scholars based in United States, Sweden and Japan. Steven E. Domino's co-authors include David L. Garbers, Vasantha Padmanabhan, Elizabeth A. Hurd, John B. Lowe, Dana C. Dolinoy, Jaclyn M. Goodrich, Laurence E. Domino, Elemér K. Zsigmond, John D. Meeker and Liang Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and American Journal of Psychiatry.

In The Last Decade

Steven E. Domino

60 papers receiving 2.2k citations

Peers

Steven E. Domino
Kenichi Sakurai Japan
E.A. Nunez France
J. Ian Mason United Kingdom
Venkataseshu K. Ganjam United States
Shiki Okamoto Japan
Shoulong Deng China
Kentaro Nagaoka Japan
Patricia Silveyra United States
Luca Lambertini United States
Georges Daoud Lebanon
Kenichi Sakurai Japan
Steven E. Domino
Citations per year, relative to Steven E. Domino Steven E. Domino (= 1×) peers Kenichi Sakurai

Countries citing papers authored by Steven E. Domino

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Domino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven E. Domino

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Domino. A scholar is included among the top collaborators of Steven E. Domino 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 E. Domino. Steven E. Domino 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.
Colacino, Justin A., Muraly Puttabyatappa, John Dou, et al.. (2023). Placental cell type deconvolution reveals that cell proportions drive preeclampsia gene expression differences. Communications Biology. 6(1). 264–264. 30 indexed citations
2.
Domino, Steven E., Marjorie C. Treadwell, Ana Baylín, et al.. (2022). Maternal and neonatal one-carbon metabolites and the epigenome-wide infant response. The Journal of Nutritional Biochemistry. 101. 108938–108938. 6 indexed citations
3.
Goodrich, Jaclyn M., Kelly M. Bakulski, Steven E. Domino, et al.. (2022). Probing prenatal bisphenol exposures and tissue-specific DNA methylation responses in cord blood, cord tissue, and placenta. Reproductive Toxicology. 115. 74–84. 7 indexed citations
4.
Padmanabhan, Vasantha, Dana C. Dolinoy, Steven E. Domino, et al.. (2020). Maternal environmental exposure to bisphenols and epigenome-wide DNA methylation in infant cord blood. Current Zoology. 6(1). dvaa021–dvaa021. 25 indexed citations
5.
Puttabyatappa, Muraly, et al.. (2020). Developmental programming: Prenatal testosterone-induced changes in epigenetic modulators and gene expression in metabolic tissues of female sheep. Molecular and Cellular Endocrinology. 514. 110913–110913. 14 indexed citations
6.
Hirose, Koichi, Tetsufumi Ito, Arifumi Iwata, et al.. (2019). Fucosyltransferase 2 induces lung epithelial fucosylation and exacerbates house dust mite–induced airway inflammation. Journal of Allergy and Clinical Immunology. 144(3). 698–709.e9. 35 indexed citations
7.
Marchlewicz, Elizabeth, Dana C. Dolinoy, Lu Tang, et al.. (2016). Lipid metabolism is associated with developmental epigenetic programming. Scientific Reports. 6(1). 34857–34857. 38 indexed citations
8.
Watkins, Deborah J., et al.. (2016). Maternal phthalate exposure during early pregnancy and at delivery in relation to gestational age and size at birth: A preliminary analysis. Reproductive Toxicology. 65. 59–66. 66 indexed citations
9.
Miller, Mark F., Sergei M. Chernyak, Steven E. Domino, Stuart Batterman, & Rita Loch‐Caruso. (2012). Concentrations and speciation of polybrominated diphenyl ethers in human amniotic fluid. The Science of The Total Environment. 417-418. 294–298. 42 indexed citations
10.
Domino, Steven E., et al.. (2011). Interdisciplinary Research Career Development: Building Interdisciplinary Research Careers in Women's Health Program Best Practices. Journal of Women s Health. 20(11). 1587–1601. 8 indexed citations
11.
Domino, Edward F., et al.. (2010). Opioid Modulation of Oxytocin Release. The Journal of Clinical Pharmacology. 50(10). 1112–1117. 17 indexed citations
12.
Terahara, Kazutaka, Tomonori Nochi, Masato Yoshida, et al.. (2010). Distinct fucosylation of M cells and epithelial cells by Fut1 and Fut2, respectively, in response to intestinal environmental stress. Biochemical and Biophysical Research Communications. 404(3). 822–828. 47 indexed citations
13.
John, James A. St, Christina Claxton, Mark W. Robinson, et al.. (2006). Genetic manipulation of blood group carbohydrates alters development and pathfinding of primary sensory axons of the olfactory systems. Developmental Biology. 298(2). 470–484. 21 indexed citations
14.
Lebovic, Dan I., et al.. (2006). Contemporary medical therapy for polycystic ovary syndrome. International Journal of Gynecology & Obstetrics. 95(3). 236–241. 25 indexed citations
15.
Hurd, Elizabeth A., et al.. (2005). Gastrointestinal mucins of Fut2-null mice lack terminal fucosylation without affecting colonization by Candida albicans. Glycobiology. 15(10). 1002–1007. 37 indexed citations
16.
Fan, Shuling, Toby W. Hurd, Chia‐Jen Liu, et al.. (2004). Polarity Proteins Control Ciliogenesis via Kinesin Motor Interactions. Current Biology. 14(16). 1451–1461. 175 indexed citations
17.
18.
Schimpf, Megan O. & Steven E. Domino. (2001). Implications of the Human Genome Project for Obstetrics and Gynecology. Obstetrical & Gynecological Survey. 56(7). 437–443. 7 indexed citations
19.
Domino, Steven E., Carol A. Bonner, Matthew Kennedy, et al.. (1992). Synthesis of a yohimbine-agarose matrix useful for large-scale and micropurification of multiple α2-receptor subtypes. Methods in enzymology on CD-ROM/Methods in enzymology. 215. 181–200. 2 indexed citations
20.
Domino, Steven E., D. Janette Tubb, & David L. Garbers. (1991). [30] Assay of guanylyl cyclase catalytic activity. Methods in enzymology on CD-ROM/Methods in enzymology. 195. 345–355. 61 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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