Ken Fujii

4.6k total citations
43 papers, 2.5k citations indexed

About

Ken Fujii is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ken Fujii has authored 43 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 15 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ken Fujii's work include Viral gastroenteritis research and epidemiology (12 papers), Viral Infections and Immunology Research (11 papers) and Influenza Virus Research Studies (7 papers). Ken Fujii is often cited by papers focused on Viral gastroenteritis research and epidemiology (12 papers), Viral Infections and Immunology Research (11 papers) and Influenza Virus Research Studies (7 papers). Ken Fujii collaborates with scholars based in Japan, United States and China. Ken Fujii's co-authors include Yoshihiro Kawaoka, Satoshi Koike, Seiya Yamayoshi, Takeshi Noda, Yukiko Muramoto, Taisuke Horimoto, Hideo Goto, Ayato Takada, Eric O. Freed and Shinji Watanabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Blood.

In The Last Decade

Ken Fujii

41 papers receiving 2.5k citations

Peers

Ken Fujii

EPIDE

CCM

IMMUN

Agustı́n Portela Spain

Othmar G. Engelhardt United Kingdom

Sibylle Schneider‐Schaulies Germany

Michael D. Baron United Kingdom

Choon Ping Tan United Kingdom

Tim Skern Austria

Rohit K. Jangra United States

Ignacio Mena United States

Robin Buckland France

Teryl K. Frey United States

Agustı́n Portela Spain

Ken Fujii

1.8k ×1.5

EPIDE

1.1k ×1.1

677 ×0.8

349 ×0.5

CCM

557 ×0.9

IMMUN

Citations per year, relative to Ken Fujii Ken Fujii (= 1×) peers Agustı́n Portela

Countries citing papers authored by Ken Fujii

Since Specialization

Citations

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

Fields of papers citing papers by Ken Fujii

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Fujii

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Fujii. A scholar is included among the top collaborators of Ken Fujii 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 Fujii. Ken Fujii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yamazaki, Yoshitaka, Ken Fujii, Takahiro Yamada, et al.. (2024). Switching from weak to strong cortical attachment of microtubules accounts for the transition from nuclear centration to spindle elongation in metazoans. Heliyon. 10(3). e25494–e25494.

Fujii, Ken, et al.. (2023). Enucleation of the C. elegans embryo revealed dynein-dependent spacing between microtubule asters. Life Science Alliance. 7(1). e202302427–e202302427. 2 indexed citations

Chinen, Takumi, Ken Fujii, Koki Watanabe, et al.. (2020). Centriole and PCM cooperatively recruit CEP192 to spindle poles to promote bipolar spindle assembly. The Journal of Cell Biology. 220(2). 31 indexed citations

Kobayashi, Kyousuke, et al.. (2018). Amino Acid Variation at VP1-145 of Enterovirus 71 Determines Attachment Receptor Usage and Neurovirulence in Human Scavenger Receptor B2 Transgenic Mice. Journal of Virology. 92(15). 43 indexed citations

Fujii, Ken, Kyousuke Kobayashi, Chikako Kataoka, et al.. (2018). VP1 Amino Acid Residue 145 of Enterovirus 71 Is a Key Residue for Its Receptor Attachment and Resistance to Neutralizing Antibody during Cynomolgus Monkey Infection. Journal of Virology. 92(15). 49 indexed citations

Fujii, Ken, Noriyo Nagata, Yuko Sato, et al.. (2013). Transgenic mouse model for the study of enterovirus 71 neuropathogenesis. Proceedings of the National Academy of Sciences. 110(36). 14753–14758. 137 indexed citations

Yamayoshi, Seiya, Ken Fujii, & Satoshi Koike. (2012). Scavenger Receptor B2 as a Receptor for Hand, Foot, and Mouth Disease and Severe Neurological Diseases. Frontiers in Microbiology. 3. 32–32. 25 indexed citations

Kawakami, Eiryo, Tokiko Watanabe, Ken Fujii, et al.. (2010). Strand-specific real-time RT-PCR for distinguishing influenza vRNA, cRNA, and mRNA. Journal of Virological Methods. 173(1). 1–6. 210 indexed citations

Fujii, Ken, Utpal M. Munshi, Sherimay D. Ablan, et al.. (2009). Functional role of Alix in HIV-1 replication. Virology. 391(2). 284–292. 75 indexed citations

10.

Horimoto, Taisuke, Shin Murakami, Yukiko Muramoto, et al.. (2007). Enhanced growth of seed viruses for H5N1 influenza vaccines. Virology. 366(1). 23–27. 44 indexed citations

11.

Fujii, Ken, James H. Hurley, & Eric O. Freed. (2007). Beyond Tsg101: the role of Alix in 'ESCRTing' HIV-1. Nature Reviews Microbiology. 5(12). 912–916. 137 indexed citations

12.

Noda, Takeshi, Hideki Ebihara, Yukiko Muramoto, et al.. (2006). Assembly and Budding of Ebolavirus. PLoS Pathogens. 2(9). e99–e99. 141 indexed citations

13.

Iwatsuki‐Horimoto, Kiyoko, Taisuke Horimoto, Takeshi Noda, et al.. (2006). The Cytoplasmic Tail of the Influenza A Virus M2 Protein Plays a Role in Viral Assembly. Journal of Virology. 80(11). 5233–5240. 132 indexed citations

14.

Horimoto, Taisuke, Ayato Takada, Ken Fujii, et al.. (2005). The development and characterization of H5 influenza virus vaccines derived from a 2003 human isolate. Vaccine. 24(17). 3669–3676. 50 indexed citations

15.

Fujii, Ken, Yutaka Fujii, Takeshi Noda, et al.. (2005). Importance of both the Coding and the Segment-Specific Noncoding Regions of the Influenza A Virus NS Segment for Its Efficient Incorporation into Virions. Journal of Virology. 79(6). 3766–3774. 146 indexed citations

16.

Yokoyama, Naoaki, Kenzo Ohtsuka, Yukihiro Nishiyama, et al.. (2000). Co-expression of human chaperone Hsp70 and Hsdj or Hsp40 co-factor increases solubility of overexpressed target proteins in insect cells. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1493(1-2). 119–124. 47 indexed citations

17.

Kurita, Hiroshi, et al.. (1999). Direct and buffering effects of social support on depressive symptoms of the elderly with home help. Psychiatry and Clinical Neurosciences. 53(1). 95–100. 27 indexed citations

18.

Kuzushima, Kiyotaka, Yo Hoshino, Ken Fujii, et al.. (1999). Rapid Determination of Epstein-Barr Virus–Specific CD8+T-Cell Frequencies by Flow Cytometry. Blood. 94(9). 3094–3100. 8 indexed citations

19.

Fujii, Ken, et al.. (1998). Drilling and completion technologies applied for the development of Yufutsu field.. Journal of the Japanese Association for Petroleum Technology. 63(5). 369–375. 5 indexed citations

20.

Fujii, Ken, et al.. (1954). K. Fujii et alii : On the Mechanism of Nuclear Division and Chromosome Arrangement. (A Symposium). III:Studies on nuclear division in vivo . B. Meiotic processes from the first prometaphase to the end of the second division of the PMC. CYTOLOGIA. 19(1). 54–76. 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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