Naoko Fujimoto

1.4k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Naoko Fujimoto is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Naoko Fujimoto has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Spectroscopy. Recurrent topics in Naoko Fujimoto's work include DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and CRISPR and Genetic Engineering (4 papers). Naoko Fujimoto is often cited by papers focused on DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and CRISPR and Genetic Engineering (4 papers). Naoko Fujimoto collaborates with scholars based in Japan, United States and Thailand. Naoko Fujimoto's co-authors include Akitsu Hotta, Shinya Yamanaka, Noriko Sasakawa, Hongmei Lisa Li, Takashi Yamamoto, Naoki Amano, Michihiro Tanaka, Hidetoshi Sakurai, Tetsushi Sakuma and Akira Watanabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Naoko Fujimoto

15 papers receiving 1.1k citations

Hit Papers

Low immunogenicity of LNP allows repeated administrations... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Low immunogenicity of LNP allows repeated administrations of CRISPR-Cas9 mRNA into skeletal muscle in mice
    2021 209 citations Eriya Kenjo, Hiroyuki Hozumi et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoko Fujimoto Japan 11 870 193 167 139 83 16 1.1k
Rolf Stucka Germany 24 1.1k 1.2× 146 0.8× 287 1.7× 121 0.9× 56 0.7× 45 1.4k
Hyojin Kim South Korea 16 876 1.0× 164 0.8× 40 0.2× 74 0.5× 27 0.3× 35 1.1k
Marcello Maresca Sweden 21 1.4k 1.7× 485 2.5× 42 0.3× 35 0.3× 78 0.9× 36 1.7k
Janet L. Paluh United States 20 1.1k 1.2× 128 0.7× 320 1.9× 114 0.8× 39 0.5× 54 1.4k
Carlos M. Farinha Portugal 25 702 0.8× 223 1.2× 249 1.5× 56 0.4× 87 1.0× 74 1.9k
Michael Szardenings Germany 21 613 0.7× 181 0.9× 167 1.0× 440 3.2× 33 0.4× 50 1.4k
Xiaohui Zhang China 10 1.1k 1.2× 333 1.7× 38 0.2× 32 0.2× 43 0.5× 24 1.3k
Fatemeh Safari Iran 14 483 0.6× 89 0.5× 24 0.1× 49 0.4× 30 0.4× 35 757
Ivan Tarassov France 30 2.5k 2.9× 109 0.6× 64 0.4× 26 0.2× 123 1.5× 67 2.7k
Michael Polymenis United States 22 1.2k 1.4× 66 0.3× 252 1.5× 63 0.5× 61 0.7× 62 1.5k

Countries citing papers authored by Naoko Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Fujimoto

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

All Works

16 of 16 papers shown
1.
Imamura, Keiko, et al.. (2024). Elimination of the extra chromosome of Dup15q syndrome iPSCs for cellular and molecular investigation. European Journal of Cell Biology. 103(3). 151446–151446.
2.
Kenjo, Eriya, Hiroyuki Hozumi, Yukimasa Makita, et al.. (2021). Low immunogenicity of LNP allows repeated administrations of CRISPR-Cas9 mRNA into skeletal muscle in mice. Nature Communications. 12(1). 7101–7101. 209 indexed citations breakdown →
3.
Lertwattanasakul, Noppon, Tomoyuki Kosaka, Akira Hosoyama, et al.. (2015). Genetic basis of the highly efficient yeast Kluyveromyces marxianus: complete genome sequence and transcriptome analyses. Biotechnology for Biofuels. 8(1). 47–47. 139 indexed citations
4.
Matsui, Hideto, Naoko Fujimoto, Noriko Sasakawa, et al.. (2014). Delivery of Full-Length Factor VIII Using a piggyBac Transposon Vector to Correct a Mouse Model of Hemophilia A. PLoS ONE. 9(8). e104957–e104957. 40 indexed citations
5.
Li, Hongmei Lisa, Naoko Fujimoto, Noriko Sasakawa, et al.. (2014). Precise Correction of the Dystrophin Gene in Duchenne Muscular Dystrophy Patient Induced Pluripotent Stem Cells by TALEN and CRISPR-Cas9. Stem Cell Reports. 4(1). 143–154. 397 indexed citations
6.
Tsuru, Akio, Naoko Fujimoto, Michiko Saito, et al.. (2013). Negative feedback by IRE1β optimizes mucin production in goblet cells. Proceedings of the National Academy of Sciences. 110(8). 2864–2869. 133 indexed citations
7.
8.
Tsuru, Akio, et al.. (2010). Mammalian ER stress sensor IRE1β specifically down-regulates the synthesis of secretory pathway proteins. FEBS Letters. 585(1). 133–138. 38 indexed citations
9.
Yamamoto, Hirotaka, et al.. (2009). Acrylamide degradation by filamentous fungi used in food and beverage industries. Journal of Bioscience and Bioengineering. 108(5). 391–393. 34 indexed citations
10.
Toyama, Akira, et al.. (2005). Isotope‐edited UV Raman spectroscopy of protein–DNA interactions: binding modes of cyclic AMP receptor protein to a natural DNA recognition site. Journal of Raman Spectroscopy. 36(4). 300–306. 14 indexed citations
11.
Fujimoto, Naoko, Akira Toyama, & Hideo Takeuchi. (2002). Binding modes of cyclic AMP and environments of tryptophan residues in 1:1 and 1:2 complexes of cyclic AMP receptor protein and cyclic AMP. Biopolymers. 67(3). 186–196. 1 indexed citations
12.
Fujimoto, Naoko, Akira Toyama, & Hideo Takeuchi. (2002). Binding modes of cyclic AMP and environments of tryptophan residues in 1:1 and 1:2 complexes of cyclic AMP receptor protein and cyclic AMP. Biopolymers. 67(3). 186–196. 8 indexed citations
13.
Toyama, Akira, et al.. (2002). Assignments and hydrogen bond sensitivities of UV resonance Raman bands of the C8‐deuterated guanine ring. Journal of Raman Spectroscopy. 33(9). 699–708. 10 indexed citations
14.
Toyama, Akira, et al.. (2001). Characterization of individual adenine residues in DNA by a combination of site-selective C8-deuteration and UV resonance Raman difference spectroscopy. Journal of Molecular Structure. 598(1). 85–91. 10 indexed citations
15.
Fujimoto, Naoko, Akira Toyama, & Hideo Takeuchi. (1998). Effects of hydrogen bonding on the UV resonance Raman bands of the adenine ring and its C8-deuterated analog. Journal of Molecular Structure. 447(1-2). 61–69. 30 indexed citations
16.
Watanabe, Masako, et al.. (1995). Characterization of Leukocyte-Derived Neutrophil Chemotactic Factor-2 and Its Possible Roles in Neutrophil Infiltration in Allergic Inflammation in Rats. International Archives of Allergy and Immunology. 108(2). 148–157. 11 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

Breakdown of academic impact, for papers by Rolf Stucka Breakdown of academic impact, for papers by Hyojin Kim Breakdown of academic impact, for papers by Marcello Maresca Breakdown of academic impact, for papers by Janet L. Paluh Breakdown of academic impact, for papers by Carlos M. Farinha Breakdown of academic impact, for papers by Michael Szardenings Breakdown of academic impact, for papers by Xiaohui Zhang Breakdown of academic impact, for papers by Fatemeh Safari Breakdown of academic impact, for papers by Ivan Tarassov Breakdown of academic impact, for papers by Michael Polymenis
Rankless by CCL
2026