Marnie E. Blewitt

6.5k total citations
68 papers, 3.6k citations indexed

About

Marnie E. Blewitt is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Marnie E. Blewitt has authored 68 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 26 papers in Genetics and 7 papers in Immunology. Recurrent topics in Marnie E. Blewitt's work include Epigenetics and DNA Methylation (37 papers), Genomics and Chromatin Dynamics (18 papers) and Genetics and Neurodevelopmental Disorders (14 papers). Marnie E. Blewitt is often cited by papers focused on Epigenetics and DNA Methylation (37 papers), Genomics and Chromatin Dynamics (18 papers) and Genetics and Neurodevelopmental Disorders (14 papers). Marnie E. Blewitt collaborates with scholars based in Australia, United States and Netherlands. Marnie E. Blewitt's co-authors include Emma Whitelaw, Matthew E. Ritchie, Jost I. Preis, Douglas J. Hilton, Kelan Chen, Vardhman K. Rakyan, Nicola Vickaryous, Natasha Jansz, Ian J. Majewski and Marie-Liesse Asselin-Labat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Marnie E. Blewitt

66 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marnie E. Blewitt Australia 30 2.7k 1.1k 372 333 307 68 3.6k
Bernard Ramsahoye United Kingdom 26 3.6k 1.3× 1.2k 1.1× 251 0.7× 328 1.0× 261 0.9× 38 4.3k
Meelad M. Dawlaty United States 21 5.3k 2.0× 1.4k 1.3× 276 0.7× 264 0.8× 262 0.9× 39 5.9k
Altuna Akalin Germany 30 3.4k 1.3× 746 0.7× 254 0.7× 583 1.8× 201 0.7× 61 4.4k
Robert Andrews United Kingdom 29 3.3k 1.2× 1.1k 1.1× 578 1.6× 545 1.6× 162 0.5× 59 4.4k
Dana J. Huebert United States 8 5.0k 1.9× 833 0.8× 313 0.8× 459 1.4× 160 0.5× 8 5.5k
Dean Nižetić United Kingdom 35 1.8k 0.7× 977 0.9× 334 0.9× 227 0.7× 165 0.5× 92 3.5k
Alexandre Wagschal France 14 4.8k 1.8× 1.2k 1.1× 292 0.8× 709 2.1× 459 1.5× 16 5.4k
Nicholas C. Wong Australia 30 2.0k 0.7× 432 0.4× 264 0.7× 521 1.6× 391 1.3× 72 3.0k
Rolph Pfundt Netherlands 42 2.6k 1.0× 2.9k 2.7× 413 1.1× 436 1.3× 586 1.9× 136 5.2k
Heidemarie Neitzel Germany 30 2.5k 0.9× 1.5k 1.4× 357 1.0× 448 1.3× 302 1.0× 95 4.0k

Countries citing papers authored by Marnie E. Blewitt

Since Specialization
Citations

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

Fields of papers citing papers by Marnie E. Blewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marnie E. Blewitt

This figure shows the co-authorship network connecting the top 25 collaborators of Marnie E. Blewitt. A scholar is included among the top collaborators of Marnie E. Blewitt 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 Marnie E. Blewitt. Marnie E. Blewitt 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.
Su, Shian, Jasleen K. Jolly, Thomas L. Edwards, et al.. (2024). Measuring X-Chromosome inactivation skew for X-linked diseases with adaptive nanopore sequencing. Genome Research. 34(11). 1954–1965. 3 indexed citations
2.
Bergamasco, Maria, Hannah Vanyai, Alexandra L. Garnham, et al.. (2024). Increasing histone acetylation improves sociability and restores learning and memory in KAT6B-haploinsufficient mice. Journal of Clinical Investigation. 134(7). 9 indexed citations
3.
Keenan, Christine R., Hannah D. Coughlan, Andrew Keniry, et al.. (2024). Suv39h-catalyzed H3K9me3 is critical for euchromatic genome organization and the maintenance of gene transcription. Genome Research. 34(4). 556–571. 4 indexed citations
4.
Keniry, Andrew, Natasha Jansz, Peter F. Hickey, et al.. (2022). A method for stabilising the XX karyotype in female mESC cultures. Development. 149(22). 1 indexed citations
5.
Gouil, Quentin, Tamara Beck, Kelsey Breslin, et al.. (2022). Maternal SMCHD1 regulates Hox gene expression and patterning in the mouse embryo. Nature Communications. 13(1). 4295–4295. 11 indexed citations
6.
Kinkel, Sarah, Tamara Beck, Kelsey Breslin, et al.. (2022). Maternal SMCHD1 controls both imprinted Xist expression and imprinted X chromosome inactivation. Epigenetics & Chromatin. 15(1). 26–26. 5 indexed citations
7.
Dong, Xueyi, Luyi Tian, Quentin Gouil, et al.. (2021). The long and the short of it: unlocking nanopore long-read RNA sequencing data with short-read differential expression analysis tools. NAR Genomics and Bioinformatics. 3(2). lqab028–lqab028. 25 indexed citations
8.
Chen, Kelan, Richard W. Birkinshaw, Ruoyun Wang, et al.. (2020). Crystal structure of the hinge domain of Smchd1 reveals its dimerization mode and nucleic acid–binding residues. Science Signaling. 13(636). 12 indexed citations
9.
10.
Jansz, Natasha, Andrew Keniry, Marie Trussart, et al.. (2018). Smchd1 regulates long-range chromatin interactions on the inactive X chromosome and at Hox clusters. Nature Structural & Molecular Biology. 25(9). 766–777. 70 indexed citations
11.
Chen, Kelan, Shifeng Xue, Weiwen Dai, et al.. (2018). FSHD2- and BAMS-associated mutations confer opposing effects on SMCHD1 function. Journal of Biological Chemistry. 293(25). 9841–9853. 26 indexed citations
12.
Su, Shian, Charity W. Law, Casey Ah-Cann, et al.. (2017). Glimma: interactive graphics for gene expression analysis. Bioinformatics. 33(13). 2050–2052. 105 indexed citations
13.
Ritchie, Matthew E., et al.. (2016). High concordance between Illumina HiSeq2500 and NextSeq500 for reduced representation bisulfite sequencing (RRBS). Genomics Data. 10. 97–100. 9 indexed citations
14.
Liu, Ruijie, Aliaksei Z. Holik, Shian Su, et al.. (2015). Why weight? Modelling sample and observational level variability improves power in RNA-seq analyses. Nucleic Acids Research. 43(15). e97–e97. 361 indexed citations
15.
Harten, Sarah K., et al.. (2014). The first mouse mutants of D14Abb1e (Fam208a) show that it is critical for early development. Mammalian Genome. 25(7-8). 293–303. 27 indexed citations
16.
Daxinger, Lucia, Sarah K. Harten, Harald Oey, et al.. (2013). An ENU mutagenesis screen identifies novel and known genes involved in epigenetic processes in the mouse. Genome biology. 14(9). R96–R96. 55 indexed citations
17.
Leong, Huei San, Kelan Chen, Yifang Hu, et al.. (2012). Epigenetic Regulator Smchd1 Functions as a Tumor Suppressor. Cancer Research. 73(5). 1591–1599. 36 indexed citations
18.
Chong, Suyinn, Nicola Vickaryous, Alyson Ashe, et al.. (2007). Modifiers of epigenetic reprogramming show paternal effects in the mouse. Nature Genetics. 39(5). 614–622. 129 indexed citations
19.
Blewitt, Marnie E., Nicola Vickaryous, Andràs Páldi, Haruhiko Koseki, & Emma Whitelaw. (2006). Dynamic Reprogramming of DNA Methylation at an Epigenetically Sensitive Allele in Mice. PLoS Genetics. 2(4). e49–e49. 179 indexed citations
20.
Blewitt, Marnie E., Suyinn Chong, & Emma Whitelaw. (2004). How the mouse got its spots. Trends in Genetics. 20(11). 550–554. 19 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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