Mitsuteru Ito

3.2k total citations · 1 hit paper
20 papers, 2.1k citations indexed

About

Mitsuteru Ito is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mitsuteru Ito has authored 20 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mitsuteru Ito's work include Epigenetics and DNA Methylation (13 papers), Genetic Syndromes and Imprinting (10 papers) and Prenatal Screening and Diagnostics (7 papers). Mitsuteru Ito is often cited by papers focused on Epigenetics and DNA Methylation (13 papers), Genetic Syndromes and Imprinting (10 papers) and Prenatal Screening and Diagnostics (7 papers). Mitsuteru Ito collaborates with scholars based in United Kingdom, Japan and United States. Mitsuteru Ito's co-authors include Anne C. Ferguson‐Smith, Carol A. Edwards, Philip Leder, Neil A. Youngson, Fen Zhou, Xiajun Li, Tsutomu Ogata, Simão Teixeira da Rocha, Davor Solter and Daniel M. Messerschmidt and has published in prestigious journals such as Science, Nature Communications and Nature Biotechnology.

In The Last Decade

Mitsuteru Ito

20 papers receiving 2.1k citations

Hit Papers

In utero undernourishment perturbs the adult sperm methyl... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Mitsuteru Ito
Stefanie Seisenberger United Kingdom
Jeremy M. Shea United States
Suyinn Chong Australia
Serap Erkek Türkiye
Elizabeth J. Radford United Kingdom
Khursheed Iqbal United States
Stefanie Seisenberger United Kingdom
Mitsuteru Ito
Citations per year, relative to Mitsuteru Ito Mitsuteru Ito (= 1×) peers Stefanie Seisenberger

Countries citing papers authored by Mitsuteru Ito

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuteru Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitsuteru Ito. 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 Mitsuteru Ito. The network helps show where Mitsuteru Ito may publish in the future.

Co-authorship network of co-authors of Mitsuteru Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuteru Ito. A scholar is included among the top collaborators of Mitsuteru Ito 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 Mitsuteru Ito. Mitsuteru Ito 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.
Ito, Mitsuteru, et al.. (2019). TET3 prevents terminal differentiation of adult NSCs by a non-catalytic action at Snrpn. Nature Communications. 10(1). 1726–1726. 34 indexed citations
2.
Loo, Tsui-Han, Ruth Jinfen Chai, Mitsuteru Ito, et al.. (2019). The mammalian LINC complex component SUN1 regulates muscle regeneration by modulating drosha activity. eLife. 8. 11 indexed citations
3.
Murray, Alison D., Anne C. Ferguson‐Smith, Marcus Richards, et al.. (2019). Imprinting methylation in SNRPN and MEST1 in adult blood predicts cognitive ability. PLoS ONE. 14(2). e0211799–e0211799. 14 indexed citations
4.
Santangelo, Andrea M., Mitsuteru Ito, Yoshiro Shiba, et al.. (2016). Novel Primate Model of Serotonin Transporter Genetic Polymorphisms Associated with Gene Expression, Anxiety and Sensitivity to Antidepressants. Neuropsychopharmacology. 41(9). 2366–2376. 24 indexed citations
5.
Butcher, Lee M, Mitsuteru Ito, Tiffany Morris, et al.. (2016). Non-CG DNA methylation is a biomarker for assessing endodermal differentiation capacity in pluripotent stem cells. Nature Communications. 7(1). 10458–10458. 30 indexed citations
6.
Ito, Mitsuteru, et al.. (2016). Variations in virulence and hyphal growth of four Raffaelea quercivora isolates within Quercus crispula. Forest Pathology. 46(3). 248–255. 2 indexed citations
7.
Vujić, Ana, Emma Robinson, Mitsuteru Ito, et al.. (2015). Experimental heart failure modelled by the cardiomyocyte-specific loss of an epigenome modifier, DNMT3B. Journal of Molecular and Cellular Cardiology. 82. 174–183. 47 indexed citations
8.
Ito, Mitsuteru, Amanda N. Sferruzzi‐Perri, Carol A. Edwards, et al.. (2015). A trans-homologue interaction between reciprocally imprinted miR-127 and Rtl1 regulates placenta development. Development. 142(14). 2425–30. 65 indexed citations
9.
Radford, Elizabeth J., Mitsuteru Ito, Hui Shi, et al.. (2014). In utero undernourishment perturbs the adult sperm methylome and intergenerational metabolism. Science. 345(6198). 1255903–1255903. 457 indexed citations breakdown →
10.
Messerschmidt, Daniel M., et al.. (2012). Trim28 Is Required for Epigenetic Stability During Mouse Oocyte to Embryo Transition. Science. 335(6075). 1499–1502. 247 indexed citations
11.
Charalambous, Marika, Sacri R. Ferrón, Andrew J. Murray, et al.. (2012). Imprinted Gene Dosage Is Critical for the Transition to Independent Life. Cell Metabolism. 15(2). 209–221. 67 indexed citations
12.
Lim, Ai Lin, Robin Choo, Mitsuteru Ito, et al.. (2012). Epigenetic state and expression of imprinted genes in umbilical cord correlates with growth parameters in human pregnancy. Journal of Medical Genetics. 49(11). 689–697. 32 indexed citations
13.
Sun, Bowen, Mitsuteru Ito, Sasha Mendjan, et al.. (2011). Status of Genomic Imprinting in Epigenetically Distinct Pluripotent Stem Cells. Stem Cells. 30(2). 161–168. 33 indexed citations
14.
Ito, Mitsuteru & Susumu Takamatsu. (2009). Molecular phylogeny and evolution of subsection Magnicellulatae (Erysiphaceae: Podosphaera) with special reference to host plants. Mycoscience. 51(1). 34–43. 34 indexed citations
15.
Li, Xiajun, Mitsuteru Ito, Fen Zhou, et al.. (2008). A Maternal-Zygotic Effect Gene, Zfp57, Maintains Both Maternal and Paternal Imprints. Developmental Cell. 15(4). 547–557. 463 indexed citations
16.
Rocha, Simão Teixeira da, Carol A. Edwards, Mitsuteru Ito, Tsutomu Ogata, & Anne C. Ferguson‐Smith. (2008). Genomic imprinting at the mammalian Dlk1-Dio3 domain. Trends in Genetics. 24(6). 306–316. 320 indexed citations
17.
Kawahara, Manabu, Qiong Wu, Nozomi Takahashi, et al.. (2007). High-frequency generation of viable mice from engineered bi-maternal embryos. Nature Biotechnology. 25(9). 1045–1050. 100 indexed citations
18.
Ito, Yoko, Mitsuteru Ito, Shin Yoneya, et al.. (2006). Transpupillary thermotherapy-induced modification of angiogenesis- and coagulation-related gene expression in the rat posterior fundus.. PubMed. 12. 802–10. 1 indexed citations
19.
Lin, Shau‐Ping, et al.. (2002). Genomic Imprinting Contributes to Thyroid Hormone Metabolism in the Mouse Embryo. Current Biology. 12(14). 1221–1226. 111 indexed citations
20.
Akama, Tomoya O., Yasushi Okazaki, Mitsuteru Ito, et al.. (1997). Restriction landmark genomic scanning (RLGS-M)-based genome-wide scanning of mouse liver tumors for alterations in DNA methylation status.. PubMed. 57(15). 3294–9. 51 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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