Ken Fujimura

910 citations
20 papers · 716 · h-index 13

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA regulation and disease
    • RNA and protein synthesis mechanisms
    • Polyamine Metabolism and Applications
    • Epigenetics and DNA Methylation
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • RNA Research and Splicing 8
    • RNA and protein synthesis mechanisms 6
    • RNA modifications and cancer 5
    • Polyamine Metabolism and Applications 3
    • Angiogenesis and VEGF in Cancer 2
    • Biochemical and Molecular Research 2
    • PI3K/AKT/mTOR signaling in cancer 2

Ken Fujimura

20 papers receiving 710 citations

Peers

Ken Fujimura
Comparison fields: 5 of 73
  • Molecular Biology 582
  • Cell Biology 136
  • Biochemistry 36
  • Cancer Research 49
  • Immunology and Allergy 18
Replace Stéphanie Torrino with:
Stéphanie Torrino France
Nathan W. Pierce United States
Arnab Nayak Germany
H Iioka Japan
Marcus M. Nalaskowski Germany
Swati Tiwari India
Christophe Royer United Kingdom
Tadashi Anan Japan
Susan Rhodes United Kingdom
Florentyna Lustig Sweden
Ken Fujimura relative to Stéphanie Torrino France Stéphanie Torrino's profile →
Citations per field
00.5×1.5×2.1×
Stéphanie Torrino · 1×
Citations per year

Countries citing papers authored by Ken Fujimura

Since Specialization
Citations

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

Fields of papers citing papers by Ken Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ken Fujimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Fujimura Line = papers co-authored together Ken Fujimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2012116
2 2012110
3 201479
4 201770
5 200866
6 201562
7 200947
8 200735
9 201035
10 200924
11 201823
12 201822
13 201313
14 20193
15 20213
16 20183
17 20122
18 20241
19 20141
20 19941

About Ken Fujimura

Ken Fujimura is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Biochemistry, having authored 20 papers that have together received 716 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (5 papers), Polyamine Metabolism and Applications (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Biochemical and Molecular Research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Molecular Biology (582 citations), Cell Biology (136 citations), Biochemistry (36 citations), Cancer Research (49 citations) and Immunology and Allergy (18 citations). Ken Fujimura has collaborated with scholars based in United States, Japan and Slovakia. Frequent co-authors include Masayuki Murata, Fumi Kano, Paul J. Anderson, Atsuo T. Sasaki, Richard Klemke, Ján Strnádel, Tracy Wright, Yoshihiro Yoneda, Jun Katahira and Pavel Ivanov. Their work appears in journals such as Cancer Research, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Structural Engineering International, Human Cell and Cell Discovery.

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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