Yuko Ito
Impact in
- Rheumatology top 1%
- GDF15 and Related Biomarkers
- Physiology top 2%
- Alzheimer's disease research and treatments
- Nutrition and Health in Aging
Papers in
-
- Liver Disease and Transplantation 4
-
- Barrier Structure and Function Studies 4
- Co-authors
- Takako NiikuraIkuo NishimotoYuichi HashimotoYoshiko KitaHaruka SudoMasaoki KawasumiKeisuke KouyamaTakashi Yasukawa
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Journal of Neuroscience (3 papers)Food and Chemical Toxicology (2 papers)Cell and Tissue Research (2 papers)Clinical and Translational Science (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Yuko Ito
77 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Rheumatology 734
- Physiology 879
- Cellular and Molecular Neuroscience 480
- Molecular Biology 944
- Aging 23
Countries citing papers authored by Yuko Ito
This map shows the geographic impact of Yuko Ito'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 Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Ito more than expected).
Fields of papers citing papers by Yuko Ito
This network shows the impact of papers produced by Yuko Ito. 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 Ito. The network helps show where Yuko Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Ito, 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 | 2023 | 18 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 2 | |
| 7 | 2017 | 19 | |
| 8 | 2016 | 8 | |
| 9 | 2016 | 0 | |
| 10 | 2014 | 1 | |
| 11 | 2010 | 6 | |
| 12 | 2008 | 1 | |
| 13 | 2008 | 20 | |
| 14 | In vitro antibacterial activity of garenoxacin | 2007 | 9 |
| 15 | P4-24 Chromosome rearrangements in a cell line derived from a case of childhood papillary thyroid cancer (chPTC) with radiation history | 2002 | 0 |
| 16 | 2002 | 30 | |
| 17 | 2001 | 43 | |
| 18 | 2000 | 26 | |
| 19 | 1995 | 36 | |
| 20 | 1994 | 1 |
About Yuko Ito
Yuko Ito is a scholar working on Hepatology, Neurology, Developmental Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 86 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Nuclear Receptors and Signaling (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), GDF15 and Related Biomarkers (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Thyroid Disorders and Treatments (4 papers), Liver Disease and Transplantation (4 papers) and Barrier Structure and Function Studies (4 papers). The work is most often cited by research in Rheumatology (734 citations), Physiology (879 citations), Cellular and Molecular Neuroscience (480 citations), Molecular Biology (944 citations) and Aging (23 citations). Yuko Ito has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takako Niikura, Ikuo Nishimoto, Yuichi Hashimoto, Yoshiko Kita, Haruka Sudo, Masaoki Kawasumi, Keisuke Kouyama, Takashi Yasukawa, Hirohisa Tajima and Eiichi Tani. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Neuroscience, Food and Chemical Toxicology, Cell and Tissue Research and Clinical and Translational Science.
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.