Yoko Aoki
Impact in
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
- Rheumatology top 1%
- Moyamoya disease diagnosis and treatment
Papers in
-
- Protein Tyrosine Phosphatases 47
- RNA regulation and disease 10
- RNA modifications and cancer 10
- Ubiquitin and proteasome pathways 7
- Immunology 36
- Galectins and Cancer Biology 28
- Co-authors
- Yoichi Matsubara (64 shared papers)Tetsuya Niihori (75 shared papers)Shigeo Kure (57 shared papers)Yoichi Suzuki (26 shared papers)Shinichi Inoue (10 shared papers)Yoko Narumi (5 shared papers)Hirofumi Ohashi (7 shared papers)Kenji Kurosawa (8 shared papers)
- Journals
- Human Mutation (7 papers)Brain and Development (7 papers)Molecular Genetics and Metabolism (6 papers)Human Molecular Genetics (5 papers)Human Genetics (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Yoko Aoki
166 papers receiving 5.0k citations
Yoko Aoki's Hit Papers
Peers
Comparison fields: 5 of 114
- Clinical Biochemistry 418
- Rheumatology 756
- Molecular Biology 2.9k
- Immunology 809
- Cell Biology 612
Countries citing papers authored by Yoko Aoki
This map shows the geographic impact of Yoko Aoki'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 Yoko Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Aoki more than expected).
Fields of papers citing papers by Yoko Aoki
This network shows the impact of papers produced by Yoko Aoki. 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 Yoko Aoki. The network helps show where Yoko Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoko Aoki, 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A genome-wide association study identifies RNF213 as the first Moyamoya disease gene Hit paper breakdown → | 2010 | 546 |
| 2 | 2005 | 498 | |
| 3 | 2008 | 269 | |
| 4 | 2015 | 257 | |
| 5 | 2005 | 143 | |
| 6 | 1994 | 110 | |
| 7 | 2005 | 95 | |
| 8 | 2002 | 89 | |
| 9 | 2001 | 84 | |
| 10 | 2015 | 84 | |
| 11 | 2003 | 78 | |
| 12 | 2019 | 76 | |
| 13 | 2006 | 75 | |
| 14 | 2012 | 65 | |
| 15 | 2005 | 64 | |
| 16 | 1998 | 61 | |
| 17 | 2018 | 58 | |
| 18 | 2001 | 54 | |
| 19 | 2018 | 54 | |
| 20 | 1998 | 53 |
About Yoko Aoki
Yoko Aoki is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Cell Biology, having authored 172 papers that have together received 5.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (47 papers), Galectins and Cancer Biology (28 papers), Metabolism and Genetic Disorders (16 papers), Biotin and Related Studies (13 papers), Peptidase Inhibition and Analysis (12 papers), RNA regulation and disease (10 papers), RNA modifications and cancer (10 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Clinical Biochemistry (418 citations), Rheumatology (756 citations), Molecular Biology (2.9k citations), Immunology (809 citations) and Cell Biology (612 citations). Yoko Aoki has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yoichi Matsubara, Tetsuya Niihori, Shigeo Kure, Yoichi Suzuki, Shinichi Inoue, Yoko Narumi, Hirofumi Ohashi, Kenji Kurosawa, Hiroshi Kawame and Yukichi Tanaka. Their work appears in journals such as Human Mutation, Brain and Development, Molecular Genetics and Metabolism, Human Molecular Genetics and Human Genetics.
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.