Kensuke Usuki
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 57
- Hematopoietic Stem Cell Transplantation 32
- Platelet Disorders and Treatments 23
- Chronic Myeloid Leukemia Treatments 23
- Genetics top 1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 22
- Chronic Lymphocytic Leukemia Research 21
- Nephrology top 2%
- Immunology top 5%
- Complement system in diseases 20
- Cancer Research top 5%
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- Acute Lymphoblastic Leukemia research 23
- Co-authors
- Carl‐Henrik HeldinKohei MiyazonoFumimaro TakakuFuyuki IshikawaChrister WernstedtUlf HellmanWerner RisauKoichi Hagiwara
- Cited by
- HematologyGeneticsNephrology
- Journals
- Blood (25 papers)International Journal of Hematology (22 papers)Annals of Hematology (5 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kensuke Usuki
146 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Hematology 1.5k
- Genetics 828
- Nephrology 298
- Immunology 638
- Cancer Research 436
Countries citing papers authored by Kensuke Usuki
This map shows the geographic impact of Kensuke Usuki'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 Kensuke Usuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensuke Usuki more than expected).
Fields of papers citing papers by Kensuke Usuki
This network shows the impact of papers produced by Kensuke Usuki. 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 Kensuke Usuki. The network helps show where Kensuke Usuki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kensuke Usuki, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 43 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 0 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 11 | |
| 15 | 2010 | 50 | |
| 16 | 2008 | 26 | |
| 17 | 2007 | 7 | |
| 18 | 2006 | 5 | |
| 19 | 1992 | 13 | |
| 20 | 1991 | 45 |
About Kensuke Usuki
Kensuke Usuki is a scholar working on Hematology, Genetics, Immunology, Nephrology and Physiology, having authored 160 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (57 papers), Hematopoietic Stem Cell Transplantation (32 papers), Platelet Disorders and Treatments (23 papers), Chronic Myeloid Leukemia Treatments (23 papers), Acute Lymphoblastic Leukemia research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (21 papers) and Complement system in diseases (20 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (828 citations), Nephrology (298 citations), Immunology (638 citations) and Cancer Research (436 citations). Kensuke Usuki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Carl‐Henrik Heldin, Kohei Miyazono, Fumimaro Takaku, Fuyuki Ishikawa, Christer Wernstedt, Ulf Hellman, Werner Risau, Koichi Hagiwara, Hannes C. A. Drexler and Akio Urabe. Their work appears in journals such as Blood, International Journal of Hematology, Annals of Hematology, British Journal of Haematology and European 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.