Yusuke Kimura
Impact in
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- Connective Tissue Growth Factor Research
- TGF-β signaling in diseases
- Fibroblast Growth Factor Research
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
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- Connective tissue disorders research
Papers in
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- DNA Repair Mechanisms 2
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- Molecular Junctions and Nanostructures 5
- Co-authors
- Masaharu Takigawa (3 shared papers)Tohru Nakanishi (2 shared papers)Tomosada Sugimoto (1 shared paper)Hiroyuki Ichikawa (1 shared paper)Tsuyoshi Shimo (1 shared paper)Takashi Nishida (1 shared paper)Takuhiro Matsumura (1 shared paper)Kiyoto Ishizeki (1 shared paper)
In The Last Decade
Yusuke Kimura
34 papers receiving 567 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 380
- Genetics 89
- Rheumatology 41
- Immunology and Allergy 15
- Urology 14
Countries citing papers authored by Yusuke Kimura
This map shows the geographic impact of Yusuke Kimura'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 Yusuke Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Kimura more than expected).
Fields of papers citing papers by Yusuke Kimura
This network shows the impact of papers produced by Yusuke Kimura. 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 Yusuke Kimura. The network helps show where Yusuke Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 158 | |
| 2 | 1998 | 153 | |
| 3 | 2018 | 41 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 21 | |
| 6 | 2018 | 16 | |
| 7 | 2017 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 1992 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2012 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 1997 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 5 |
About Yusuke Kimura
Yusuke Kimura is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Mechanical Engineering and Surgery, having authored 39 papers that have together received 575 indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (5 papers), DNA Repair Mechanisms (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Surfactants and Colloidal Systems (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Genetic and phenotypic traits in livestock (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Advanced Welding Techniques Analysis (2 papers). The work is most often cited by research in Molecular Biology (380 citations), Genetics (89 citations), Rheumatology (41 citations), Immunology and Allergy (15 citations) and Urology (14 citations). Yusuke Kimura has collaborated with scholars based in Japan, Thailand and China. Frequent co-authors include Masaharu Takigawa, Tohru Nakanishi, Tomosada Sugimoto, Hiroyuki Ichikawa, Tsuyoshi Shimo, Takashi Nishida, Takuhiro Matsumura, Kiyoto Ishizeki, Atsuhiro Fujimori and Ryotaro Nishi. Their work appears in journals such as Toxicological Sciences, Colloids and Surfaces A Physicochemical and Engineering Aspects, Toxics, Bulletin of the Chemical Society of Japan and Microelectronic Engineering.
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.