Sayuri Suzuki
- Cancer Research top 2%
- Aging top 5%
- Molecular Biology top 5%
- Renal and related cancers 7
- Ubiquitin and proteasome pathways 4
- TGF-β signaling in diseases 4
- Pluripotent Stem Cells Research 4
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research 3
- Nephrology top 5%
-
- Magnesium in Health and Disease 8
-
- Cancer-related Molecular Pathways 5
-
- Robotic Path Planning Algorithms 3
- Co-authors
- Masatoshi KitagawaKyoko KitagawaYasuhito KotakeYin XiongToshiyuki NakagawaHideyuki OkanoJun NamikiShinsuke Shibata
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)The EMBO Journal (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Sayuri Suzuki
63 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 821
- Aging 39
- Molecular Biology 1.5k
- Developmental Neuroscience 90
- Nephrology 149
Countries citing papers authored by Sayuri Suzuki
This map shows the geographic impact of Sayuri Suzuki'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 Sayuri Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayuri Suzuki more than expected).
Fields of papers citing papers by Sayuri Suzuki
This network shows the impact of papers produced by Sayuri Suzuki. 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 Sayuri Suzuki. The network helps show where Sayuri Suzuki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sayuri Suzuki, 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 | 2024 | 2 | |
| 2 | 2023 | 14 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 47 | |
| 8 | 2016 | 21 | |
| 9 | 2014 | 51 | |
| 10 | 2012 | 28 | |
| 11 | 2012 | 11 | |
| 12 | 2011 | 16 | |
| 13 | 2010 | 14 | |
| 14 | 2010 | 8 | |
| 15 | Long non-coding RNA ANRIL is required for the PRC2 recruitment to and silencing of p15INK4B tumor suppressor genebreakdown → | 2010 | 818 |
| 16 | 2009 | 7 | |
| 17 | 2006 | 56 | |
| 18 | 1995 | 83 | |
| 19 | 1993 | 12 | |
| 20 | EXPERIMENTAL STUDIES ON THE INTERRELATIONSHIPS OF NUTRITION,PHYSICAL EXERCISE AND HEALTH COMPONENTS : REPORT 1 INFLUENCE ON GROWTH AND DEVELOPMENT | 1967 | 4 |
About Sayuri Suzuki
Sayuri Suzuki is a scholar working on Developmental Neuroscience, Issues, ethics and legal aspects and Nephrology, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Magnesium in Health and Disease (8 papers), Renal and related cancers (7 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), TGF-β signaling in diseases (4 papers), Pluripotent Stem Cells Research (4 papers), Robotic Path Planning Algorithms (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). The work is most often cited by research in Cancer Research (821 citations), Aging (39 citations) and Molecular Biology (1.5k citations). Sayuri Suzuki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masatoshi Kitagawa, Kyoko Kitagawa, Yasuhito Kotake, Yin Xiong, Toshiyuki Nakagawa, Hideyuki Okano, Jun Namiki, Shinsuke Shibata, Naro Ohashi and Hirotaka Fukasawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The EMBO Journal.
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.