Yuta Ito
Impact in
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 18
- Genetics 11
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Kohichi Shimizu (2 shared papers)Jun Miyauchi (2 shared papers)Yukiko Tsunematsu (2 shared papers)Shinichi Makita (12 shared papers)Tsuyoshi Kawano (1 shared paper)Akihiko Hara (6 shared papers)Hiroshi Inui (4 shared papers)Naoki Harada (4 shared papers)
- Journals
- Blood (5 papers)Blood Advances (2 papers)Contact Dermatitis (2 papers)Indian Journal of Science and Technology (2 papers)Annals of Nuclear Medicine (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuta Ito
59 papers receiving 765 citations
Peers
Comparison fields: 5 of 96
- Physiology 76
- Hematology 125
- Genetics 99
- Aquatic Science 64
- Geriatrics and Gerontology 27
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 76 | |
| 2 | 1992 | 74 | |
| 3 | 2021 | 73 | |
| 4 | 2013 | 52 | |
| 5 | 2020 | 37 | |
| 6 | 2014 | 36 | |
| 7 | 2010 | 34 | |
| 8 | 2019 | 30 | |
| 9 | 2016 | 30 | |
| 10 | 2024 | 27 | |
| 11 | 2013 | 24 | |
| 12 | 2013 | 21 | |
| 13 | 2023 | 15 | |
| 14 | 2012 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2013 | 13 | |
| 18 | 2024 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2018 | 11 |
About Yuta Ito
Yuta Ito is a scholar working on Pathology and Forensic Medicine, Genetics, Aquatic Science, Physiology and Oncology, having authored 71 papers that have together received 787 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (7 papers), T-cell and Retrovirus Studies (6 papers), Neural Networks and Reservoir Computing (6 papers), Aquaculture Nutrition and Growth (6 papers), Reproductive biology and impacts on aquatic species (5 papers), Viral-associated cancers and disorders (5 papers) and Optical Network Technologies (5 papers). The work is most often cited by research in Physiology (76 citations), Hematology (125 citations), Genetics (99 citations), Aquatic Science (64 citations) and Geriatrics and Gerontology (27 citations). Yuta Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kohichi Shimizu, Jun Miyauchi, Yukiko Tsunematsu, Shinichi Makita, Tsuyoshi Kawano, Akihiko Hara, Hiroshi Inui, Naoki Harada, Kensei Tobinai and Yoshihisa Nakano. Their work appears in journals such as Blood, Blood Advances, Contact Dermatitis, Indian Journal of Science and Technology and Annals of Nuclear Medicine.
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.