Keisuke Kamimura

1.5k citations
16 papers · 1.3k · h-index 13

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Hippo pathway signaling and YAP/TAZ
    • Glycosylation and Glycoproteins Research
    • Developmental Biology and Gene Regulation
    • Wnt/β-catenin signaling in development and cancer
    • Fibroblast Growth Factor Research

Papers in

    • Proteoglycans and glycosaminoglycans research 9
    • Hippo pathway signaling and YAP/TAZ 6
    • Developmental Biology and Gene Regulation 5
    • Glycosylation and Glycoproteins Research 3
    • TGF-β signaling in diseases 2

Keisuke Kamimura

16 papers receiving 1.3k citations

Peers

Keisuke Kamimura
Comparison fields: 5 of 80
  • Cell Biology 764
  • Molecular Biology 1.0k
  • Aging 24
  • Cellular and Molecular Neuroscience 183
  • Immunology and Allergy 45
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Citations per field
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Citations per year

Countries citing papers authored by Keisuke Kamimura

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Kamimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999354
2 2003195
3 2007158
4 2006111
5 2001104
6 200477
7 201059
8 201359
9 202151
10 201632
11 201026
12 201913
13 201713
14 20185
15 20213
16 20232

About Keisuke Kamimura

Keisuke Kamimura is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Biomaterials, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (9 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Developmental Biology and Gene Regulation (5 papers), Glycosylation and Glycoproteins Research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Invertebrate Immune Response Mechanisms (3 papers), Silk-based biomaterials and applications (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cell Biology (764 citations), Molecular Biology (1.0k citations), Aging (24 citations), Cellular and Molecular Neuroscience (183 citations) and Immunology and Allergy (45 citations). Keisuke Kamimura has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Hiroshi Nakato, Nobuaki Maeda, Satomi Takeo, Susumu Izumi, Koji Kimata, Hiroko Habuchi, Takashi Matsuo, Toshiro Aigaki, Sara K. Olson and Takuya Akiyama. Their work appears in journals such as The Journal of Cell Biology, Developmental Biology, Cell Reports, Journal of Biological Chemistry and Development.

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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