Ken Fujimura

896 citations
20 papers · 697 indexed · 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
    • Cancer-related gene regulation
  • 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
    • RNA regulation and disease 2
    • Biochemical and Molecular Research 2
    • Angiogenesis and VEGF in Cancer 2

Ken Fujimura

19 papers receiving 691 citations

Peers

Ken Fujimura
Comparison fields: 5 of 68
  • Molecular Biology 593
  • Cell Biology 135
  • Biochemistry 36
  • Cancer Research 62
  • Immunology and Allergy 18
Replace Arnab Nayak with:
Arnab Nayak Germany
Jennifer H. Lumb United Kingdom
Stéphanie Torrino France
Nathan W. Pierce United States
Marcus M. Nalaskowski Germany
Swati Tiwari India
Vasilisa Aksenova United States
Charalampos Lazaris United States
Christophe Royer United Kingdom
Jolanda M.P. Liefhebber Netherlands
Ken Fujimura relative to Arnab Nayak Germany Arnab Nayak's profile →
Citations per field
00.5×4.5×
Arnab Nayak · 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 2012113
2 2012109
3 201478
4 201768
5 200863
6 201562
7 200947
8 200734
9 201033
10 200923
11 201822
12 201820
13 201312
14 20213
15 20183
16 20193
17 20122
18 19941
19 20141
20 20240

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 697 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), RNA regulation and disease (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Biochemical and Molecular Research (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Molecular Biology (593 citations), Cell Biology (135 citations), Biochemistry (36 citations), Cancer Research (62 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 Mohamed M. Emara. Their work appears in journals such as Cancer Research, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Frontiers in Oncology, Structural Engineering International and Human Cell.

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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