Satoshi Fujimura

1.3k citations
46 papers · 983 · h-index 17

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 9
    • Biochemical and Structural Characterization 4
    • Insect Resistance and Genetics 3
    • Mesenchymal stem cell research 7

Satoshi Fujimura

44 papers receiving 959 citations

Peers

Satoshi Fujimura
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 208
  • Genetics 105
  • Rehabilitation 49
  • Genetics 220
  • Surgery 267
Replace So‐Hee Hong with:
So‐Hee Hong South Korea
Christopher J. Wraight Australia
L. Frati Italy
Anujith Kumar India
Ruiyu Xie China
Chiju Wei China
Liya Pi United States
David Kuninger United States
Niels-Bjarne Woods Sweden
Zinger Yang United States
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Citations per field
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Citations per year

Countries citing papers authored by Satoshi Fujimura

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Satoshi 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 Satoshi Fujimura Line = papers co-authored together Satoshi Fujimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003276
2 2013148
3 201454
4 199438
5 200035
6 199835
7 199829
8 200829
9 201822
10 199922
11 201821
12 200320
13 202118
14 201118
15 201118
16 201217
17 201916
18
Tumor growth suppression by a retroviral vector displaying scFv antibody to CEA and carrying the iNOS gene.
200216
19 199415
20
Targeting of LAK activity to CEA-expressing tumor cells with an anti-CEA scFv/IL-2 fusion protein.
200113

About Satoshi Fujimura

Satoshi Fujimura is a scholar working on Molecular Biology, Genetics, Rehabilitation, Immunology and Plant Science, having authored 46 papers that have together received 983 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Mesenchymal stem cell research (7 papers), Wound Healing and Treatments (6 papers), Biochemical and Structural Characterization (4 papers), Phytase and its Applications (4 papers), Insect Resistance and Genetics (3 papers), T-cell and Retrovirus Studies (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (208 citations), Genetics (105 citations), Rehabilitation (49 citations), Genetics (220 citations) and Surgery (267 citations). Satoshi Fujimura has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Shohta Kodama, Denise L. Faustman, E Dale, Willem M. Kühtreiber, Rica Tanaka, Shigeyuki Terada, Eiji Kimoto, Junko Ono, Tomoya Mita and Hirotaka Watada. Their work appears in journals such as The Journal of Biochemistry, Bioscience Biotechnology and Biochemistry, Stem Cells Translational Medicine, Nephrology Dialysis Transplantation and International Journal of Oncology.

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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