Yuki Yamagata
- Astronomy and Astrophysics top 5%
- Origins and Evolution of Life 10
- Orthodontics top 10%
- Nephrology top 10%
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- Photoreceptor and optogenetics research 6
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- Biomedical Text Mining and Ontologies 15
- Bioinformatics and Genomic Networks 5
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- Semantic Web and Ontologies 10
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- Amino Acid Enzymes and Metabolism 4
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- Genomics and Rare Diseases 3
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- Metabolism and Genetic Disorders 3
- Co-authors
- Takashi NambaOsamu TakaokaAkio KôyamaKunihiro YamagataMasaharu NagayamaHideko InoueYu SekiguchiChiaki Sato
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Yuki Yamagata
46 papers receiving 732 citations
Peers
Comparison fields: 5 of 117
- Astronomy and Astrophysics 354
- Orthodontics 35
- Nephrology 50
- Cellular and Molecular Neuroscience 105
- Molecular Biology 342
Countries citing papers authored by Yuki Yamagata
This map shows the geographic impact of Yuki Yamagata'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 Yuki Yamagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Yamagata more than expected).
Fields of papers citing papers by Yuki Yamagata
This network shows the impact of papers produced by Yuki Yamagata. 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 Yuki Yamagata. The network helps show where Yuki Yamagata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuki Yamagata, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 4 | |
| 7 | TXPO: A Toxic Process Ontology for Better Understanding of Drug-Induced Liver Injury. | 2019 | 2 |
| 8 | 2017 | 11 | |
| 9 | 2017 | 1 | |
| 10 | 2014 | 16 | |
| 11 | Towards the Integration of Abnormality in Diseases | 2014 | 1 |
| 12 | Ontological Model of Abnormal States and its Application in the Medical Domain. | 2013 | 2 |
| 13 | Browsing causal chains in a disease ontology | 2012 | 5 |
| 14 | River Flow Model of Diseases. | 2011 | 17 |
| 15 | 1995 | 34 | |
| 16 | 1991 | 259 | |
| 17 | 1990 | 17 | |
| 18 | 1990 | 52 | |
| 19 | [Biomechanical response of maxillary protraction on the craniofacial complex. Three-dimensional analysis by the finite element method]. | 1988 | 0 |
| 20 | [Biomechanical changes in the craniofacial skeleton due to rapid expansion appliances]. | 1985 | 3 |
About Yuki Yamagata
Yuki Yamagata is a scholar working on Anatomy, Orthodontics and Astronomy and Astrophysics, having authored 50 papers that have together received 781 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (15 papers), Origins and Evolution of Life (10 papers), Semantic Web and Ontologies (10 papers), Photoreceptor and optogenetics research (6 papers), Bioinformatics and Genomic Networks (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Genomics and Rare Diseases (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Astronomy and Astrophysics (354 citations), Orthodontics (35 citations) and Nephrology (50 citations). Yuki Yamagata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takashi Namba, Osamu Takaoka, Akio Kôyama, Kunihiro Yamagata, Masaharu Nagayama, Hideko Inoue, Yu Sekiguchi, Chiaki Sato, Ichiro Watanabe and Kouji Kozaki. Their work appears in journals such as Nature, Nucleic Acids Research and The Journal of Chemical Physics.
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.