Jun‐ichiro Tsutsui

1.2k citations
17 papers · 1.1k · h-index 14

Impact in

Papers in

    • Fibroblast Growth Factor Research 5
    • Glycosylation and Glycoproteins Research 4
    • Cancer-related gene regulation 2
    • Proteoglycans and glycosaminoglycans research 9
    • Calpain Protease Function and Regulation 2

Jun‐ichiro Tsutsui

16 papers receiving 1.1k citations

Peers

Jun‐ichiro Tsutsui
Comparison fields: 5 of 70
  • Cell Biology 616
  • Immunology and Allergy 116
  • Molecular Biology 666
  • Cancer Research 104
  • Oncology 150
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐ichiro Tsutsui

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichiro Tsutsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichiro Tsutsui. 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 Jun‐ichiro Tsutsui. The network helps show where Jun‐ichiro Tsutsui may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
A new family of heparin-binding growth/differentiation factors: increased midkine expression in Wilms' tumor and other human carcinomas.
1993205
2 1995150
3 2002137
4 1991108
5 199493
6 199590
7 199273
8
Midkine as a novel target gene for the Wilms' tumor suppressor gene (WT1).
199651
9 200145
10 199628
11
Myocardial infarction induces expression of midkine, a heparin-binding growth factor with reparative activity.
199826
12 199825
13 199922
14 199617
15 199510
16 19972
17
[Mechanism of cerebral visual suppression and its treatment by psychotropic drugs].
19631

About Jun‐ichiro Tsutsui

Jun‐ichiro Tsutsui is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (9 papers), Fibroblast Growth Factor Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Cell Adhesion Molecules Research (4 papers), Nerve injury and regeneration (2 papers), Calpain Protease Function and Regulation (2 papers), T-cell and Retrovirus Studies (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cell Biology (616 citations), Immunology and Allergy (116 citations), Molecular Biology (666 citations), Cancer Research (104 citations) and Oncology (150 citations). Jun‐ichiro Tsutsui has collaborated with scholars based in Japan and United States. Frequent co-authors include Kenji Kadomatsu, Takashi Muramatsu, Masayuki Ozawa, Shyuichiro Matsubara, Shuichiro Matsubara, Elizabeth Witten, Mutsuhiro Takekawa, Haruo Saito, Hiroaki Mita and T. Muramatsu. Their work appears in journals such as The Journal of Biochemistry, Developmental Brain Research, Biochemical and Biophysical Research Communications, Journal of Cell Science and Molecular Membrane Biology.

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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