Carmen J. Marsit

29.2k total citations · 2 hit papers
360 papers, 18.7k citations indexed

About

Carmen J. Marsit is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Carmen J. Marsit has authored 360 papers receiving a total of 18.7k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Molecular Biology, 142 papers in Pediatrics, Perinatology and Child Health and 72 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Carmen J. Marsit's work include Epigenetics and DNA Methylation (145 papers), Birth, Development, and Health (109 papers) and Pregnancy and preeclampsia studies (43 papers). Carmen J. Marsit is often cited by papers focused on Epigenetics and DNA Methylation (145 papers), Birth, Development, and Health (109 papers) and Pregnancy and preeclampsia studies (43 papers). Carmen J. Marsit collaborates with scholars based in United States, United Kingdom and Spain. Carmen J. Marsit's co-authors include Karl T. Kelsey, E. Andrés Houseman, Brock C. Christensen, Heather H. Nelson, Devin C. Koestler, Margaret R. Karagas, John K. Wiencke, Barry M. Lester, James F. Padbury and David A. Armstrong and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Carmen J. Marsit

352 papers receiving 18.5k citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DNA methylation arrays as surrogate measures of cell mixture distribution

2012 2.0k citations E. Andrés Houseman, William P. Accomando et al. profile →
Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island Context

2009 797 citations Brock C. Christensen, E. Andrés Houseman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carmen J. Marsit United States	71	10.8k	5.0k	3.0k	2.7k	2.3k	360	18.7k
Randy L. Jirtle United States	66	9.4k 0.9×	4.5k 0.9×	1.9k 0.6×	1.7k 0.6×	4.5k 2.0×	210	18.5k
Lifang Hou United States	57	6.9k 0.6×	2.5k 0.5×	1.6k 0.6×	3.5k 1.3×	1.5k 0.7×	339	15.7k
Susan K. Murphy United States	60	6.6k 0.6×	2.9k 0.6×	1.5k 0.5×	1.1k 0.4×	2.1k 0.9×	264	12.3k
Caroline L. Relton United Kingdom	61	6.8k 0.6×	3.7k 0.7×	905 0.3×	1.3k 0.5×	4.6k 2.0×	252	15.5k
Anders Juul Denmark	90	8.3k 0.8×	5.0k 1.0×	1.3k 0.4×	3.6k 1.3×	5.6k 2.5×	655	29.8k
Karl T. Kelsey United States	83	13.8k 1.3×	2.1k 0.4×	4.9k 1.7×	3.3k 1.2×	3.3k 1.5×	434	24.1k
P. Eline Slagboom Netherlands	76	8.8k 0.8×	4.4k 0.9×	1.4k 0.5×	810 0.3×	4.1k 1.8×	465	23.3k
Katharina M. Main Denmark	74	5.0k 0.5×	3.3k 0.7×	1.4k 0.5×	6.9k 2.5×	2.3k 1.0×	294	18.5k
E. Andrés Houseman United States	54	6.8k 0.6×	1.8k 0.4×	1.1k 0.4×	2.0k 0.7×	1.7k 0.7×	154	10.6k
Nicholas J. Timpson United Kingdom	62	5.2k 0.5×	2.1k 0.4×	1.2k 0.4×	958 0.4×	9.3k 4.1×	250	22.6k

Countries citing papers authored by Carmen J. Marsit

Since Specialization

Citations

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

Fields of papers citing papers by Carmen J. Marsit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carmen J. Marsit. 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 Carmen J. Marsit. The network helps show where Carmen J. Marsit may publish in the future.

Co-authorship network of co-authors of Carmen J. Marsit

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen J. Marsit. A scholar is included among the top collaborators of Carmen J. Marsit 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 Carmen J. Marsit. Carmen J. Marsit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Taibl, Kaitlin R., Anne L. Dunlop, Matthew Ryan Smith, et al.. (2024). Association of per- and polyfluoroalkyl substances with the antioxidant bilirubin across pregnancy. Free Radical Biology and Medicine. 223. 184–192. 1 indexed citations

Stroud, Laura R., et al.. (2024). Differential impact of prenatal PTSD symptoms and preconception trauma exposure on placental NR3C1 and FKBP5 methylation. Stress. 27(1). 2321595–2321595. 1 indexed citations

Lesseur, Corina, Sean D. Kelly, Karen Hermetz, et al.. (2023). Effects of prenatal pesticide exposure on the fetal brain and placenta transcriptomes in a rodent model. Toxicology. 490. 153498–153498. 10 indexed citations

Reid, Brie M., Nicki L. Aubuchon‐Endsley, Audrey R. Tyrka, Carmen J. Marsit, & Laura R. Stroud. (2023). Placenta DNA methylation levels of the promoter region of the leptin receptor gene are associated with infant cortisol. Psychoneuroendocrinology. 153. 106119–106119. 2 indexed citations

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

Paquette, Alison G., James W. MacDonald, Theo K. Bammler, et al.. (2023). Placental transcriptomic signatures of prenatal exposure to Hydroxy-Polycyclic aromatic hydrocarbons. Environment International. 172. 107763–107763. 19 indexed citations

Ursini, Gianluca, Pasquale Di Carlo, Qiang Chen, et al.. (2023). Prioritization of potential causative genes for schizophrenia in placenta. Nature Communications. 14(1). 2613–2613. 18 indexed citations

Kennedy, Elizabeth M., Karen Hermetz, Amber Burt, et al.. (2020). Placental microRNA expression associates with birthweight through control of adipokines: results from two independent cohorts. Epigenetics. 16(7). 770–782. 14 indexed citations

Parade, Stephanie H., Andrew M. Novick, Justin Parent, et al.. (2017). Stress exposure and psychopathology alter methylation of the serotonin receptor 2A (HTR2A) gene in preschoolers. Development and Psychopathology. 29(5). 1619–1626. 33 indexed citations

10.

Martin, Elizabeth M., Lisa Smeester, Paige A. Bommarito, et al.. (2017). SExual Epigenetic Dimorphism in The Human Placenta: Implications for Susceptibility During The Prenatal Period. Epigenomics. 9(3). 267–278. 93 indexed citations

11.

Stroud, Laura R., George D. Papandonatos, Stephanie H. Parade, et al.. (2016). Prenatal Major Depressive Disorder, Placenta Glucocorticoid and Serotonergic Signaling, and Infant Cortisol Response. Psychosomatic Medicine. 78(9). 979–990. 57 indexed citations

12.

Liang, Caihua, Carmen J. Marsit, Michael D. McClean, et al.. (2012). Biomarkers of HPV in Head and Neck Squamous Cell Carcinoma. Cancer Research. 72(19). 5004–5013. 97 indexed citations

13.

Koestler, Devin C., Carmen J. Marsit, Brock C. Christensen, et al.. (2012). Peripheral Blood Immune Cell Methylation Profiles Are Associated with Nonhematopoietic Cancers. Cancer Epidemiology Biomarkers & Prevention. 21(8). 1293–1302. 88 indexed citations

14.

Poage, Graham M., Rondi A. Butler, E. Andrés Houseman, et al.. (2012). Identification of an Epigenetic Profile Classifier That Is Associated with Survival in Head and Neck Cancer. Cancer Research. 72(11). 2728–2737. 31 indexed citations

15.

Poage, Graham M., E. Andrés Houseman, Brock C. Christensen, et al.. (2011). Global Hypomethylation Identifies Loci Targeted for Hypermethylation in Head and Neck Cancer. Clinical Cancer Research. 17(11). 3579–3589. 62 indexed citations

16.

Christensen, Brock C., E. Andrés Houseman, Graham M. Poage, et al.. (2010). Integrated Profiling Reveals a Global Correlation between Epigenetic and Genetic Alterations in Mesothelioma. Cancer Research. 70(14). 5686–5694. 38 indexed citations

17.

Avissar-Whiting, Michele, Brock C. Christensen, Karl T. Kelsey, & Carmen J. Marsit. (2009). MicroRNA Expression Ratio Is Predictive of Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 15(8). 2850–2855. 216 indexed citations

18.

Christensen, Brock C., E. Andrés Houseman, John J. Godleski, et al.. (2008). Epigenetic Profiles Distinguish Pleural Mesothelioma from Normal Pleura and Predict Lung Asbestos Burden and Clinical Outcome. Cancer Research. 69(1). 227–234. 107 indexed citations

19.

Marsit, Carmen J., Margaret R. Karagas, Alan R. Schned, & Karl T. Kelsey. (2006). Carcinogen Exposure and Epigenetic Silencing in Bladder Cancer. Annals of the New York Academy of Sciences. 1076(1). 810–821. 38 indexed citations

20.

Marsit, Carmen J., Karen Eddy, & Karl T. Kelsey. (2006). MicroRNA Responses to Cellular Stress. Cancer Research. 66(22). 10843–10848. 308 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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