Yuta Ito
Impact in
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
- Genetics top 10%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 15
- Oncology 12
- Viral-associated cancers and disorders 5
- Co-authors
- Yukiko Tsunematsu (2 shared papers)K Shimizu (2 shared papers)Jun Miyauchi (2 shared papers)Shinichi Makita (11 shared papers)Tsuyoshi Kawano (1 shared paper)Akihiko Hara (6 shared papers)Naoki Harada (4 shared papers)Yoshihisa Nakano (3 shared papers)
- Journals
- Blood (3 papers)Indian Journal of Science and Technology (2 papers)Contact Dermatitis (2 papers)Journal of Clinical Oncology (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuta Ito
45 papers receiving 543 citations
Peers
Comparison fields: 5 of 85
- Physiology 74
- Genetics 97
- Aquatic Science 62
- Hematology 96
- Geriatrics and Gerontology 25
Countries citing papers authored by Yuta Ito
This map shows the geographic impact of Yuta 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 Yuta Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuta Ito more than expected).
Fields of papers citing papers by Yuta Ito
This network shows the impact of papers produced by Yuta 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 Yuta Ito. The network helps show where Yuta Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuta 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
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 64 | |
| 2 | 1992 | 57 | |
| 3 | 2013 | 51 | |
| 4 | 2020 | 35 | |
| 5 | 2014 | 33 | |
| 6 | 2010 | 30 | |
| 7 | 2019 | 29 | |
| 8 | 2016 | 26 | |
| 9 | 2013 | 22 | |
| 10 | 2024 | 21 | |
| 11 | 2013 | 20 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2013 | 11 | |
| 15 | 2017 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2005 | 8 |
About Yuta Ito
Yuta Ito is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Pulmonary and Respiratory Medicine and Surgery, having authored 53 papers that have together received 554 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (6 papers), Aquaculture Nutrition and Growth (6 papers), Viral-associated cancers and disorders (5 papers), Reproductive biology and impacts on aquatic species (5 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Physiology (74 citations), Genetics (97 citations), Aquatic Science (62 citations), Hematology (96 citations) and Geriatrics and Gerontology (25 citations). Yuta Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yukiko Tsunematsu, K Shimizu, Jun Miyauchi, Shinichi Makita, Tsuyoshi Kawano, Akihiko Hara, Naoki Harada, Yoshihisa Nakano, Craig V. Sullivan and Hiroshi Inui. Their work appears in journals such as Blood, Indian Journal of Science and Technology, Contact Dermatitis, Journal of Clinical Oncology and Scientific Reports.
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.