Yuko Williams
Impact in
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- Epigenetics and DNA Methylation
- Renal and related cancers
- Cancer-related gene regulation
- RNA modifications and cancer
- Hedgehog Signaling Pathway Studies
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- Genetic and Kidney Cyst Diseases
Papers in
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- Renal and related cancers 4
- Epigenetics and DNA Methylation 2
- Signaling Pathways in Disease 1
- Single-cell and spatial transcriptomics 1
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Tomoko Maruyama (6 shared papers)Yoshinori Murakami (6 shared papers)Mari Masuda (7 shared papers)Mika Sakurai‐Yageta (6 shared papers)Shinji Kikuchi (4 shared papers)Takeshi Fukami (3 shared papers)Daisuke Yamada (2 shared papers)Tadaichi Kitamura (2 shared papers)
- Journals
- Gene (1 paper)Nature Medicine (1 paper)Clinical Cancer Research (1 paper)Journal of Biological Chemistry (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuko Williams
9 papers receiving 416 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 309
- Genetics 105
- Reproductive Medicine 30
- Cell Biology 53
- Cancer Research 35
Countries citing papers authored by Yuko Williams
This map shows the geographic impact of Yuko Williams'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 Yuko Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Williams more than expected).
Fields of papers citing papers by Yuko Williams
This network shows the impact of papers produced by Yuko Williams. 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 Yuko Williams. The network helps show where Yuko Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Williams, 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 | 2011 | 114 | |
| 2 | 2006 | 84 | |
| 3 | 2005 | 66 | |
| 4 | 2005 | 63 | |
| 5 | 2005 | 44 | |
| 6 | 2005 | 30 | |
| 7 | 2003 | 13 | |
| 8 | 2016 | 2 | |
| 9 | Isolation of the mouse Tsll1 and Tsll2 genes, orthologues of the human TSLC1-like genes 1 and 2 | 2003 | 1 |
About Yuko Williams
Yuko Williams is a scholar working on Molecular Biology, Physiology, Surgery, Immunology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 417 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), Renal and related cancers (4 papers), Pancreatic function and diabetes (2 papers), Epigenetics and DNA Methylation (2 papers), Signaling Pathways in Disease (1 paper), Single-cell and spatial transcriptomics (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Molecular Biology (309 citations), Genetics (105 citations), Reproductive Medicine (30 citations), Cell Biology (53 citations) and Cancer Research (35 citations). Yuko Williams has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tomoko Maruyama, Yoshinori Murakami, Mari Masuda, Mika Sakurai‐Yageta, Shinji Kikuchi, Takeshi Fukami, Daisuke Yamada, Tadaichi Kitamura, Maha S. Zaki and Joseph G. Gleeson. Their work appears in journals such as Gene, Nature Medicine, Clinical Cancer Research, Journal of Biological Chemistry and International Journal of Cancer.
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.