Yukiko Muramatsu
- Aging top 10%
- Polymers and Plastics top 10%
- Conducting polymers and applications 11
- Molecular Biology top 10%
- DNA Repair Mechanisms 6
- Nuclear Structure and Function 4
- Wnt/β-catenin signaling in development and cancer 4
- RNA Interference and Gene Delivery 3
- Physiology top 10%
- Telomeres, Telomerase, and Senescence 6
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- Cancer-related Molecular Pathways 3
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- Organic Electronics and Photovoltaics 5
- Co-authors
- Hiroyuki SeimiyaTakashi TsuruoTomokazu OhishiTakakazu YamamotoR. KurosakiAkio AsaiTakaaki KirinoNobusada Shinoura
- Journals
- Molecular and Cellular Biology (4 papers)Journal of Photopolymer Science and Technology (3 papers)Neurological Research (3 papers)
- Partner nations
- JapanUnited StatesKenya
In The Last Decade
Yukiko Muramatsu
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Aging 33
- Polymers and Plastics 189
- Molecular Biology 730
- Physiology 217
- Oncology 224
Countries citing papers authored by Yukiko Muramatsu
This map shows the geographic impact of Yukiko Muramatsu'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 Yukiko Muramatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Muramatsu more than expected).
Fields of papers citing papers by Yukiko Muramatsu
This network shows the impact of papers produced by Yukiko Muramatsu. 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 Yukiko Muramatsu. The network helps show where Yukiko Muramatsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukiko Muramatsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 2 | |
| 2 | 2020 | 11 | |
| 3 | 2020 | 6 | |
| 4 | 2017 | 32 | |
| 5 | 2017 | 68 | |
| 6 | 2017 | 19 | |
| 7 | 2014 | 29 | |
| 8 | 2014 | 1 | |
| 9 | 2012 | 2 | |
| 10 | 2008 | 9 | |
| 11 | 2007 | 27 | |
| 12 | 2005 | 130 | |
| 13 | 2004 | 15 | |
| 14 | 2004 | 12 | |
| 15 | 2004 | 11 | |
| 16 | 2003 | 26 | |
| 17 | 2003 | 49 | |
| 18 | 2002 | 40 | |
| 19 | 2002 | 33 | |
| 20 | 2000 | 6 |
About Yukiko Muramatsu
Yukiko Muramatsu is a scholar working on Polymers and Plastics, Aging and Biotechnology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Conducting polymers and applications (11 papers), DNA Repair Mechanisms (6 papers), Telomeres, Telomerase, and Senescence (6 papers), Organic Electronics and Photovoltaics (5 papers), Nuclear Structure and Function (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), RNA Interference and Gene Delivery (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Aging (33 citations), Polymers and Plastics (189 citations) and Molecular Biology (730 citations). Yukiko Muramatsu has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Hiroyuki Seimiya, Takashi Tsuruo, Tomokazu Ohishi, Takakazu Yamamoto, R. Kurosaki, Akio Asai, Takaaki Kirino, Nobusada Shinoura, Tsutomu Araki and Yoko Yoshida. Their work appears in journals such as Molecular and Cellular Biology, Journal of Photopolymer Science and Technology, Neurological Research, Chemistry of Materials and Journal of Neural Transmission.
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.