Masashi Yukawa
- Cell Biology top 5%
- Microtubule and mitosis dynamics 19
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- Genetics, Aging, and Longevity in Model Organisms 3
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- Fungal and yeast genetics research 16
- DNA Repair Mechanisms 12
- Genomics and Chromatin Dynamics 8
- 14-3-3 protein interactions 5
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 4
- Co-authors
- Takashi TodaEiko TsuchiyaKen‐ichi KimuraTokichi MiyakawaMasaru UenoChiho IkebeYusuke YamadaHidetoshi Takahashi
- Cited by
- Cell BiologyAgingMolecular Biology
- Journals
- Bioscience Biotechnology and Biochemistry (7 papers)Molecular and Cellular Biology (4 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Masashi Yukawa
37 papers receiving 479 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 252
- Aging 11
- Molecular Biology 415
- Structural Biology 4
- Plant Science 89
Countries citing papers authored by Masashi Yukawa
This map shows the geographic impact of Masashi Yukawa'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 Masashi Yukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Yukawa more than expected).
Fields of papers citing papers by Masashi Yukawa
This network shows the impact of papers produced by Masashi Yukawa. 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 Masashi Yukawa. The network helps show where Masashi Yukawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masashi Yukawa, 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 | 2021 | 16 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 11 | |
| 10 | 2018 | 31 | |
| 11 | 2018 | 17 | |
| 12 | 2015 | 1 | |
| 13 | 2015 | 9 | |
| 14 | 2013 | 42 | |
| 15 | 2010 | 14 | |
| 16 | 2010 | 12 | |
| 17 | 2009 | 4 | |
| 18 | 2005 | 9 | |
| 19 | 2001 | 39 | |
| 20 | 1999 | 24 |
About Masashi Yukawa
Masashi Yukawa is a scholar working on Aging, Cell Biology, Molecular Biology, Oncology and Biochemistry, having authored 37 papers that have together received 485 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (19 papers), Fungal and yeast genetics research (16 papers), DNA Repair Mechanisms (12 papers), Genomics and Chromatin Dynamics (8 papers), 14-3-3 protein interactions (5 papers), Ubiquitin and proteasome pathways (4 papers), RNA Research and Splicing (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Cell Biology (252 citations), Aging (11 citations), Molecular Biology (415 citations), Structural Biology (4 citations) and Plant Science (89 citations). Masashi Yukawa has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takashi Toda, Eiko Tsuchiya, Ken‐ichi Kimura, Tokichi Miyakawa, Masaru Ueno, Chiho Ikebe, Yusuke Yamada, Hidetoshi Takahashi, Hirohisa Masuda and Masaki Okazaki. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Molecular and Cellular Biology, International Journal of Molecular Sciences, Molecular Biology of the Cell and The Journal of Immunology.
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.