Hitoshi Kiyoi
Impact in
- Hematology top 0.05%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 174
- Acute Myeloid Leukemia Research 114
- Chronic Myeloid Leukemia Treatments 69
- Hematopoietic Stem Cell Transplantation 26
- Genetics 61
- Chronic Lymphocytic Leukemia Research 35
- Co-authors
- Tomoki NaoeHidehiko SaitoT NaoeFumihiko HayakawaMasayuki TowatariRyuzo UedaAkihiro TomitaRyuzo Ohno
- Journals
- Blood (50 papers)International Journal of Hematology (32 papers)Leukemia (23 papers)Cancer Science (21 papers)British Journal of Haematology (9 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hitoshi Kiyoi
265 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Hematology 5.4k
- Genetics 2.0k
- Oncology 2.1k
- Molecular Biology 4.4k
- Immunology 1.2k
Countries citing papers authored by Hitoshi Kiyoi
This map shows the geographic impact of Hitoshi Kiyoi'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 Hitoshi Kiyoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Kiyoi more than expected).
Fields of papers citing papers by Hitoshi Kiyoi
This network shows the impact of papers produced by Hitoshi Kiyoi. 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 Hitoshi Kiyoi. The network helps show where Hitoshi Kiyoi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hitoshi Kiyoi, 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 | 2025 | 10 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 8 | |
| 13 | 2018 | 16 | |
| 14 | 2018 | 4 | |
| 15 | 2017 | 2 | |
| 16 | 2016 | 129 | |
| 17 | 2009 | 194 | |
| 18 | 2008 | 7 | |
| 19 | 2006 | 77 | |
| 20 | 2005 | 32 |
About Hitoshi Kiyoi
Hitoshi Kiyoi is a scholar working on Hematology, Genetics, Oncology, Immunology and Public Health, Environmental and Occupational Health, having authored 277 papers that have together received 9.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (114 papers), Chronic Myeloid Leukemia Treatments (69 papers), Acute Lymphoblastic Leukemia research (52 papers), Retinoids in leukemia and cellular processes (38 papers), CAR-T cell therapy research (38 papers), Chronic Lymphocytic Leukemia Research (35 papers), Hematopoietic Stem Cell Transplantation (26 papers) and Immune Cell Function and Interaction (23 papers). The work is most often cited by research in Hematology (5.4k citations), Genetics (2.0k citations), Oncology (2.1k citations), Molecular Biology (4.4k citations) and Immunology (1.2k citations). Hitoshi Kiyoi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tomoki Naoe, Hidehiko Saito, T Naoe, Fumihiko Hayakawa, Masayuki Towatari, Ryuzo Ueda, Akihiro Tomita, Ryuzo Ohno, Yuichi Ishikawa and Kazuyuki Shimada. Their work appears in journals such as Blood, International Journal of Hematology, Leukemia, Cancer Science and British Journal of Haematology.
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.