Ryoichi Ono
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 3
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- Lymphoma Diagnosis and Treatment 3
- Co-authors
- Yasuhide HayashiTomohiko TakiTetsuya NosakaMasafumi TaniwakiTakeshi TaketaniHideaki NakajimaToshio KitamuraKatsutoshi Ozaki
- Journals
- Blood (2 papers)Journal of Clinical Investigation (2 papers)International Journal of Hematology (2 papers)Oncogene (2 papers)iScience (1 paper)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Ryoichi Ono
21 papers receiving 800 citations
Peers
Comparison fields: 5 of 73
- Hematology 428
- Genetics 107
- Molecular Biology 584
- Aging 8
- Cancer Research 58
Countries citing papers authored by Ryoichi Ono
This map shows the geographic impact of Ryoichi Ono'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 Ryoichi Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryoichi Ono more than expected).
Fields of papers citing papers by Ryoichi Ono
This network shows the impact of papers produced by Ryoichi Ono. 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 Ryoichi Ono. The network helps show where Ryoichi Ono may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryoichi Ono, 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 | 1 | |
| 2 | 2021 | 13 | |
| 3 | 2020 | 12 | |
| 4 | 2019 | 1 | |
| 5 | 2016 | 17 | |
| 6 | 2013 | 22 | |
| 7 | 2012 | 1 | |
| 8 | 2009 | 37 | |
| 9 | 2009 | 18 | |
| 10 | 2008 | 115 | |
| 11 | 2008 | 20 | |
| 12 | 2005 | 90 | |
| 13 | 2005 | 34 | |
| 14 | 2005 | 91 | |
| 15 | 2005 | 50 | |
| 16 | 2002 | 9 | |
| 17 | LCX, leukemia-associated protein with a CXXC domain, is fused to MLL in acute myeloid leukemia with trilineage dysplasia having t(10;11)(q22;q23). | 2002 | 231 |
| 18 | The Treatment Outcome of Acute Megakaryocytic Leukemia in Down Syndrome | 2000 | 1 |
| 19 | 1980 | 1 | |
| 20 | Studies of Ankylosing Spondylitis.first Report | 1954 | 1 |
About Ryoichi Ono
Ryoichi Ono is a scholar working on Hematology, Pathology and Forensic Medicine, Molecular Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 815 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), CAR-T cell therapy research (2 papers), Ubiquitin and proteasome pathways (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Hematology (428 citations), Genetics (107 citations), Molecular Biology (584 citations), Aging (8 citations) and Cancer Research (58 citations). Ryoichi Ono has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Yasuhide Hayashi, Tomohiko Taki, Tetsuya Nosaka, Masafumi Taniwaki, Takeshi Taketani, Hideaki Nakajima, Toshio Kitamura, Katsutoshi Ozaki, Toshiyuki Kawashima and Hidetoshi Kumagai. Their work appears in journals such as Blood, Journal of Clinical Investigation, International Journal of Hematology, Oncogene and iScience.
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.