Charles E. Mordaunt

831 total citations
18 papers, 451 citations indexed

About

Charles E. Mordaunt is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Charles E. Mordaunt has authored 18 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Cognitive Neuroscience. Recurrent topics in Charles E. Mordaunt's work include Epigenetics and DNA Methylation (11 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Autism Spectrum Disorder Research (6 papers). Charles E. Mordaunt is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Autism Spectrum Disorder Research (6 papers). Charles E. Mordaunt collaborates with scholars based in United States, Poland and Japan. Charles E. Mordaunt's co-authors include Janine M. LaSalle, Benjamin I. Laufer, Keith W. Dunaway, Annie Vogel Ciernia, Dag H. Yasui, Rochelle L. Coulson, Hye‐Yeon Hwang, Yihui Zhu, Irva Hertz‐Picciotto and Rebecca J. Schmidt and has published in prestigious journals such as Nature Communications, Human Molecular Genetics and Cerebral Cortex.

In The Last Decade

Charles E. Mordaunt

18 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles E. Mordaunt United States 13 257 184 119 85 71 18 451
Samantha Wake Australia 13 170 0.7× 172 0.9× 53 0.4× 65 0.8× 78 1.1× 24 476
Valeria Cordone Italy 13 178 0.7× 139 0.8× 40 0.3× 32 0.4× 18 0.3× 27 465
M.Y. Morgan United States 8 215 0.8× 102 0.6× 27 0.2× 38 0.4× 27 0.4× 17 438
John Dou United States 11 159 0.6× 37 0.2× 36 0.3× 101 1.2× 43 0.6× 36 354
Jieping Shi China 14 211 0.8× 137 0.7× 28 0.2× 24 0.3× 29 0.4× 43 548
Lisa H. Chadwick United States 12 401 1.6× 231 1.3× 40 0.3× 80 0.9× 8 0.1× 14 655
Kohji Kiwaki Japan 12 193 0.8× 68 0.4× 87 0.7× 46 0.5× 46 0.6× 15 525
Chengyun Feng China 12 128 0.5× 164 0.9× 231 1.9× 16 0.2× 27 0.4× 16 410
Leanne Wallace Australia 13 118 0.5× 130 0.7× 34 0.3× 39 0.5× 47 0.7× 21 591
Carole Grenier United States 12 382 1.5× 93 0.5× 24 0.2× 159 1.9× 8 0.1× 20 704

Countries citing papers authored by Charles E. Mordaunt

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. Mordaunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles E. Mordaunt

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

All Works

18 of 18 papers shown
1.
Li, Xueshu, Kari Neier, Yihui Zhu, et al.. (2023). Networks of placental DNA methylation correlate with maternal serum PCB concentrations and child neurodevelopment. Environmental Research. 220. 115227–115227. 12 indexed citations
2.
Mordaunt, Charles E., et al.. (2021). Comethyl: a network-based methylome approach to investigate the multivariate nature of health and disease. Briefings in Bioinformatics. 23(2). 11 indexed citations
3.
Laufer, Benjamin I., Hye‐Yeon Hwang, Charles E. Mordaunt, et al.. (2020). Low-pass whole genome bisulfite sequencing of neonatal dried blood spots identifies a role for RUNX1 in Down syndrome DNA methylation profiles. Human Molecular Genetics. 29(21). 3465–3476. 31 indexed citations
4.
Medici, Valentina, Eleonora Napoli, Noreene M. Shibata, et al.. (2020). mtDNA depletion‐like syndrome in Wilson disease. Liver International. 40(11). 2776–2787. 12 indexed citations
5.
Mordaunt, Charles E., Benjamin I. Laufer, Yihui Zhu, et al.. (2020). Cord blood DNA methylome in newborns later diagnosed with autism spectrum disorder reflects early dysregulation of neurodevelopmental and X-linked genes. Genome Medicine. 12(1). 88–88. 45 indexed citations
6.
Zhu, Yihui, Charles E. Mordaunt, Blythe Durbin‐Johnson, et al.. (2020). Expression Changes in Epigenetic Gene Pathways Associated With One‐Carbon Nutritional Metabolites in Maternal Blood From Pregnancies Resulting in Autism and Non‐Typical Neurodevelopment. Autism Research. 14(1). 11–28. 10 indexed citations
7.
Zhu, Yihui, Charles E. Mordaunt, Dag H. Yasui, et al.. (2019). Placental DNA methylation levels at CYP2E1 and IRS2 are associated with child outcome in a prospective autism study. Human Molecular Genetics. 28(16). 2659–2674. 53 indexed citations
8.
Mordaunt, Charles E., Dorothy A. Kieffer, Noreene M. Shibata, et al.. (2019). Epigenomic signatures in liver and blood of Wilson disease patients include hypermethylation of liver-specific enhancers. Epigenetics & Chromatin. 12(1). 10–10. 28 indexed citations
9.
Ciernia, Annie Vogel, Benjamin I. Laufer, Hye‐Yeon Hwang, et al.. (2019). Epigenomic Convergence of Neural-Immune Risk Factors in Neurodevelopmental Disorder Cortex. Cerebral Cortex. 30(2). 640–655. 33 indexed citations
10.
Laufer, Benjamin I., Hye‐Yeon Hwang, Annie Vogel Ciernia, Charles E. Mordaunt, & Janine M. LaSalle. (2019). Whole genome bisulfite sequencing of Down syndrome brain reveals regional DNA hypermethylation and novel disorder insights. Epigenetics. 14(7). 672–684. 27 indexed citations
11.
12.
Ciernia, Annie Vogel, Benjamin I. Laufer, Keith W. Dunaway, et al.. (2018). Experience-dependent neuroplasticity of the developing hypothalamus: integrative epigenomic approaches. Epigenetics. 13(3). 318–330. 20 indexed citations
13.
Coulson, Rochelle L., Dag H. Yasui, Keith W. Dunaway, et al.. (2018). Snord116-dependent diurnal rhythm of DNA methylation in mouse cortex. Nature Communications. 9(1). 1616–1616. 53 indexed citations
14.
Mordaunt, Charles E., Noreene M. Shibata, Dorothy A. Kieffer, et al.. (2018). Epigenetic changes of the thioredoxin system in the tx-j mouse model and in patients with Wilson disease. Human Molecular Genetics. 27(22). 3854–3869. 19 indexed citations
15.
Dunaway, Keith W., Mohammad Saharul Islam, Charles E. Mordaunt, et al.. (2017). UBE3A-mediated regulation of imprinted genes and epigenome-wide marks in human neurons. Epigenetics. 12(11). 982–990. 15 indexed citations
16.
Dunaway, Keith W., Mohammad Saharul Islam, Rochelle L. Coulson, et al.. (2016). Cumulative Impact of Polychlorinated Biphenyl and Large Chromosomal Duplications on DNA Methylation, Chromatin, and Expression of Autism Candidate Genes. Cell Reports. 17(11). 3035–3048. 55 indexed citations
17.
Singh, Mandeep, et al.. (2012). Design, synthesis and identification of a new class of triarylmethyl amine compounds as inhibitors of apolipoprotein E production. Bioorganic & Medicinal Chemistry Letters. 22(19). 6252–6255. 9 indexed citations
18.
Mordaunt, Charles E., et al.. (2012). Effects of Structural and Electronic Characteristics of Chalcones on the Activation of Peroxisome Proliferator-Activated Receptor Gamma. Chemical and Pharmaceutical Bulletin. 61(2). 229–236. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026