Ken Fujimura

896 total citations
20 papers, 697 citations indexed

About

Ken Fujimura is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ken Fujimura has authored 20 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Ken Fujimura's work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers) and RNA modifications and cancer (5 papers). Ken Fujimura is often cited by papers focused on RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers) and RNA modifications and cancer (5 papers). Ken Fujimura collaborates with scholars based in United States, Japan and Slovakia. Ken Fujimura's co-authors include Masayuki Murata, Fumi Kano, Paul J. Anderson, Atsuo T. Sasaki, Richard Klemke, Ján Strnádel, Tracy Wright, Yoshihiro Yoneda, Jun Katahira and Daniele Sciaranghella and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Ken Fujimura

19 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Fujimura United States 13 593 135 65 62 51 20 697
Arnab Nayak Germany 14 529 0.9× 90 0.7× 149 2.3× 64 1.0× 165 3.2× 24 724
Vasilisa Aksenova United States 13 425 0.7× 68 0.5× 84 1.3× 88 1.4× 32 0.6× 25 523
Anna L. Vestergaard Denmark 14 451 0.8× 97 0.7× 83 1.3× 72 1.2× 123 2.4× 16 701
Jennifer H. Lumb United Kingdom 9 332 0.6× 167 1.2× 32 0.5× 97 1.6× 67 1.3× 10 568
Stéphanie Torrino France 12 390 0.7× 250 1.9× 79 1.2× 84 1.4× 61 1.2× 15 610
Chun So Hong Kong 12 473 0.8× 171 1.3× 95 1.5× 51 0.8× 64 1.3× 15 704
Marcus M. Nalaskowski Germany 14 495 0.8× 170 1.3× 50 0.8× 44 0.7× 52 1.0× 25 634
Charalampos Lazaris United States 11 782 1.3× 98 0.7× 88 1.4× 76 1.2× 75 1.5× 14 947
Gillian Carpenter United Kingdom 13 568 1.0× 133 1.0× 87 1.3× 72 1.2× 28 0.5× 17 706
Tadashi Anan Japan 11 555 0.9× 126 0.9× 236 3.6× 52 0.8× 46 0.9× 32 744

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-authorship network of co-authors of Ken Fujimura

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Fujimura. A scholar is included among the top collaborators of Ken 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 Ken Fujimura. Ken 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
2.
Wang, Huawei, Ken Fujimura, Ján Strnádel, et al.. (2021). The Heparan Sulfate Binding Peptide in Tumor Progression of Triple-Negative Breast Cancer. Frontiers in Oncology. 11. 697626–697626. 3 indexed citations
3.
Tomimatsu, Nozomi, Ken Fujimura, Yuta Matsumura, et al.. (2019). Abstract 2006: Targeting AXL kinase with TP-0903 successfully reverses the mesenchymal phenotype and extends survival in preclinical models of advanced ovarian cancer. Cancer Research. 79(13_Supplement). 2006–2006. 3 indexed citations
4.
Fujimura, Ken, et al.. (2018). KRAS Oncoprotein Expression Is Regulated by a Self-Governing eIF5A-PEAK1 Feed-Forward Regulatory Loop. Cancer Research. 78(6). 1444–1456. 22 indexed citations
5.
Lapek, John D., Ken Fujimura, Ján Strnádel, et al.. (2018). Pseudopodium-enriched atypical kinase 1 mediates angiogenesis by modulating GATA2-dependent VEGFR2 transcription. Cell Discovery. 4(1). 26–26. 20 indexed citations
6.
Strnádel, Ján, Sang Myung Woo, Sunkyu Choi, et al.. (2018). 3D Culture Protocol for Testing Gene Knockdown Efficiency and Cell Line Derivation. BIO-PROTOCOL. 8(11). e2874–e2874. 3 indexed citations
7.
Strnádel, Ján, Sunkyu Choi, Ken Fujimura, et al.. (2017). eIF5A-PEAK1 Signaling Regulates YAP1/TAZ Protein Expression and Pancreatic Cancer Cell Growth. Cancer Research. 77(8). 1997–2007. 68 indexed citations
8.
9.
Fujimura, Ken, Tracy Wright, Ján Strnádel, et al.. (2014). A Hypusine–eIF5A–PEAK1 Switch Regulates the Pathogenesis of Pancreatic Cancer. Cancer Research. 74(22). 6671–6681. 78 indexed citations
10.
Fujimura, Ken, Tracy Wright, Ján Strnádel, et al.. (2014). Abstract LB-303: A hypusine-eIF5A-PEAK1 switch regulates the pathogenesis of pancreatic ductal adenocarcinoma. Cancer Research. 74(19_Supplement). LB–303. 1 indexed citations
11.
Choi, Sunkyu, Jonathan A. Kelber, Xinning Jiang, et al.. (2013). Procedures for the biochemical enrichment and proteomic analysis of the cytoskeletome. Analytical Biochemistry. 446. 102–107. 12 indexed citations
12.
Fujimura, Ken, Atsuo T. Sasaki, & Paul J. Anderson. (2012). Selenite targets eIF4E-binding protein-1 to inhibit translation initiation and induce the assembly of non-canonical stress granules. Nucleic Acids Research. 40(16). 8099–8110. 109 indexed citations
13.
Emara, Mohamed M., et al.. (2012). Hydrogen peroxide induces stress granule formation independent of eIF2α phosphorylation. Biochemical and Biophysical Research Communications. 423(4). 763–769. 113 indexed citations
15.
Fujimura, Ken, Tomonori Suzuki, Yoshinari Yasuda, et al.. (2010). Identification of importin α1 as a novel constituent of RNA stress granules. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(7). 865–871. 33 indexed citations
16.
Fujimura, Ken, Jun Katahira, Fumi Kano, Yoshihiro Yoneda, & Masayuki Murata. (2009). Microscopic dissection of the process of stress granule assembly. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(11). 1728–1737. 47 indexed citations
17.
Fujimura, Ken, Jun Katahira, Fumi Kano, Yoshihiro Yoneda, & Masayuki Murata. (2009). Selective localization of PCBP2 to cytoplasmic processing bodies. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(5). 878–887. 23 indexed citations
18.
Fujimura, Ken, Fumi Kano, & Masayuki Murata. (2008). Identification of PCBP2, a facilitator of IRES-mediated translation, as a novel constituent of stress granules and processing bodies. RNA. 14(3). 425–431. 63 indexed citations
19.
Fujimura, Ken, Fumi Kano, & Masayuki Murata. (2007). Dual localization of the RNA binding protein CUGBP-1 to stress granule and perinucleolar compartment. Experimental Cell Research. 314(3). 543–553. 34 indexed citations
20.
Fujimura, Ken, et al.. (1994). Bridge Factory Innovations. Structural Engineering International. 4(1). 34–36. 1 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.

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