Naoko Fujimoto

1.4k citations
16 papers · 1.1k indexed · 1 hit paper · h-index 11
Topics
DNA and Nucleic Acid Chemistry (5 papers)Advanced biosensing and bioanalysis techniques (4 papers)CRISPR and Genetic Engineering (4 papers)

In The Last Decade

Naoko Fujimoto

15 papers receiving 1.1k citations

Hit Papers

Low immunogenicity of LNP allows repeated administrations...2021202620222024202150100150200

Peers

Naoko Fujimoto
Comparison fields: 5 of 90
  • Molecular Biology 870
  • Genetics 193
  • Cell Biology 167
  • Biomedical Engineering 139
  • Epidemiology 83
Replace Rolf Stucka with:
Rolf Stucka Germany
Hyojin Kim South Korea
Shannon J. Sirk United States
Marcello Maresca Sweden
Fatemeh Safari Iran
Yong-Sam Kim South Korea
Xiaohui Zhang China
Jonathan C. Chen United States
Su Cheong Yeom South Korea
Ivan Tarassov France
Naoko Fujimoto relative to Rolf Stucka Germany Rolf Stucka's profile →
Citations per field
00.5×3.6×
Rolf Stucka · 1×
Citations per year

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
#WorkIndexed citations
1 0
2
Low immunogenicity of LNP allows repeated administrations of CRISPR-Cas9 mRNA into skeletal muscle in micebreakdown →
209
3 139
4 40
5 397
6 133
7 17
8 38
9 34
10 14
11 8
12 1
13 10
14 10
15 30
16 11

About Naoko Fujimoto

Naoko Fujimoto is a scholar working on Molecular Biology, Spectroscopy and Biophysics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Aging (48 citations), Business and International Management (52 citations) and Molecular Biology (870 citations). Naoko Fujimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akitsu Hotta, Shinya Yamanaka, Noriko Sasakawa, Michihiro Tanaka, Hongmei Lisa Li, Akira Watanabe, Tetsushi Sakuma, Takashi Yamamoto, Naoki Amano and Hidetoshi Sakurai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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