Atsushi Fujimura

1.9k citations
52 papers · 1.4k indexed · h-index 20
Topics
RNA modifications and cancer (9 papers)Radiopharmaceutical Chemistry and Applications (6 papers)Boron Compounds in Chemistry (6 papers)
Journals
Nucleic Acids ResearchJournal of Clinical InvestigationSHILAP Revista de lepidopterología
Partner nations
JapanUnited StatesItaly

In The Last Decade

Atsushi Fujimura

46 papers receiving 1.4k citations

Peers

Atsushi Fujimura
Comparison fields: 5 of 113
  • Molecular Biology 821
  • Cell Biology 257
  • Oncology 167
  • Cancer Research 130
  • Radiology, Nuclear Medicine and Imaging 106
Replace Jun Xie with:
Jun Xie China
Susanne Lutz Germany
Diane E. Capen United States
M Mutin France
Manuel Melo Pires Portugal
Carmen M. Warren United States
Wilfried Kugler Germany
Mohamed M. Bekhite Germany
Jessica A. Kilgore United States
Weiyong Shen Australia
Atsushi Fujimura relative to Jun Xie China Jun Xie's profile →
Citations per field
00.5×2.6×
Jun Xie · 1×
Citations per year

Countries citing papers authored by Atsushi Fujimura

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Fujimura

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Fujimura. A scholar is included among the top collaborators of Atsushi Fujimura 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 Atsushi Fujimura. Atsushi Fujimura 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
#WorkIndexed citations
1 0
2 2
3 0
4 7
5 9
6 3
7 5
8 5
9 28
10 25
11 36
12 197
13 8
14 53
15 84
16 32
17 32
18 8
19 11
20 81

About Atsushi Fujimura

Atsushi Fujimura is a scholar working on Cell Biology, Otorhinolaryngology and Molecular Biology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Boron Compounds in Chemistry (6 papers). The work is most often cited by research in Cell Biology (257 citations), Molecular Biology (821 citations) and Genetics (93 citations). Atsushi Fujimura has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kazuhito Tomizawa, Fan‐Yan Wei, Hideki Matsui, Hiroyuki Michiue, Taku Kaitsuka, Tsutomu Suzuki, Takeo Suzuki, Atsunori Kamiya, Antonio Rosato and Silvio Bicciato. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

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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