Naomi Tsujimoto

2.6k total citations · 1 hit paper
8 papers, 1.9k citations indexed

About

Naomi Tsujimoto is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Naomi Tsujimoto has authored 8 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Naomi Tsujimoto's work include Epigenetics and DNA Methylation (5 papers), Genetic Syndromes and Imprinting (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Naomi Tsujimoto is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Genetic Syndromes and Imprinting (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Naomi Tsujimoto collaborates with scholars based in United States, Japan and Switzerland. Naomi Tsujimoto's co-authors include En Li, Masaki Okano, Kenichiro Hata, Masahiro Kaneda, Takashi Sado, Hiroyuki Sasaki, Taiping Chen, Yoshihide Ueda, Bailin Zhang and Sarah Hevi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Naomi Tsujimoto

8 papers receiving 1.9k citations

Hit Papers

Essential role for de nov... 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi Tsujimoto United States 8 1.7k 720 364 143 105 8 1.9k
Steen K.T. Ooi United States 11 2.3k 1.3× 714 1.0× 262 0.7× 106 0.7× 53 0.5× 15 2.6k
Ayala Frumkin Israel 22 1.1k 0.6× 647 0.9× 316 0.9× 74 0.5× 64 0.6× 49 2.1k
Khursheed Iqbal United States 18 1.7k 1.0× 521 0.7× 604 1.7× 293 2.0× 115 1.1× 40 2.4k
Daniel M. Messerschmidt Singapore 18 1.5k 0.9× 437 0.6× 341 0.9× 237 1.7× 72 0.7× 30 1.9k
Sharon Zeligson Israel 19 731 0.4× 281 0.4× 166 0.5× 122 0.9× 69 0.7× 41 1.3k
Frédérique Gay United States 14 2.6k 1.5× 677 0.9× 139 0.4× 130 0.9× 29 0.3× 14 2.9k
Naka Hattori Japan 27 2.2k 1.3× 707 1.0× 346 1.0× 484 3.4× 159 1.5× 55 2.8k
Peri Tate United Kingdom 16 1.9k 1.1× 728 1.0× 113 0.3× 55 0.4× 56 0.5× 21 2.3k
Sylvain Guibert France 16 1.3k 0.8× 507 0.7× 284 0.8× 88 0.6× 46 0.4× 27 1.6k
Mitsuteru Ito United Kingdom 16 1.7k 1.0× 957 1.3× 735 2.0× 190 1.3× 63 0.6× 20 2.1k

Countries citing papers authored by Naomi Tsujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Tsujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Tsujimoto

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

All Works

8 of 8 papers shown
1.
Wainger, Brian J., Elizabeth D. Buttermore, Júlia Teixeira Oliveira, et al.. (2014). Modeling pain in vitro using nociceptor neurons reprogrammed from fibroblasts. Nature Neuroscience. 18(1). 17–24. 164 indexed citations
2.
Schmid, Ralf S., Naomi Tsujimoto, Qiang Qu, et al.. (2008). A methyl-CpG-binding protein 2–enhanced green fluorescent protein reporter mouse model provides a new tool for studying the neuronal basis of Rett syndrome. Neuroreport. 19(4). 393–398. 16 indexed citations
3.
Chen, Taiping, Sarah Hevi, Frédérique Gay, et al.. (2007). Complete inactivation of DNMT1 leads to mitotic catastrophe in human cancer cells. Nature Genetics. 39(3). 391–396. 261 indexed citations
4.
Dodge, Jonathan, Masaki Okano, Frederick A. Dick, et al.. (2005). Inactivation of Dnmt3b in Mouse Embryonic Fibroblasts Results in DNA Hypomethylation, Chromosomal Instability, and Spontaneous Immortalization. Journal of Biological Chemistry. 280(18). 17986–17991. 205 indexed citations
5.
Kaneda, Masahiro, Takashi Sado, Kenichiro Hata, et al.. (2004). Role of De Novo DNA Methyltransferases in Initiation of Genomic Imprinting and X-Chromosome Inactivation. Cold Spring Harbor Symposia on Quantitative Biology. 69(0). 125–130. 24 indexed citations
6.
Kaneda, Masahiro, Masaki Okano, Kenichiro Hata, et al.. (2004). Essential role for de novo DNA methyltransferase Dnmt3a in paternal and maternal imprinting. Nature. 429(6994). 900–903. 1006 indexed citations breakdown →
7.
Chen, Taiping, Naomi Tsujimoto, & En Li. (2004). The PWWP Domain of Dnmt3a and Dnmt3b Is Required for Directing DNA Methylation to the Major Satellite Repeats at Pericentric Heterochromatin. Molecular and Cellular Biology. 24(20). 9048–9058. 207 indexed citations
8.
Tsujimoto, Naomi, et al.. (2001). Association of HSPB2, a Member of the Small Heat Shock Protein Family, with Mitochondria. Experimental Cell Research. 271(1). 161–168. 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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