Atsushi Kuramoto
- Hematology top 0.5%
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 2%
- Genetics top 1%
- Co-authors
- Hideki AsaokuMichio KawanoOsamu TanabeHideo TanakaKoji IwatoTadamitsu KishimotoTetsuya TagaTadashi Matsuda
- Topics
- Platelet Disorders and Treatments (27 papers)Chronic Myeloid Leukemia Treatments (26 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (19 papers)
- Cited by
- HematologyGeneticsImmunology
In The Last Decade
Atsushi Kuramoto
149 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Hematology 2.0k
- Molecular Biology 1.6k
- Oncology 1.4k
- Immunology 1.1k
- Genetics 763
Countries citing papers authored by Atsushi Kuramoto
This map shows the geographic impact of Atsushi Kuramoto'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 Atsushi Kuramoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Kuramoto more than expected).
Fields of papers citing papers by Atsushi Kuramoto
This network shows the impact of papers produced by Atsushi Kuramoto. 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 Atsushi Kuramoto. The network helps show where Atsushi Kuramoto may publish in the future.
Co-authorship network of co-authors of Atsushi Kuramoto
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Kuramoto. A scholar is included among the top collaborators of Atsushi Kuramoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atsushi Kuramoto. Atsushi Kuramoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 77 | |
| 2 | 0 | |
| 3 | 93 | |
| 4 | 31 | |
| 5 | Cytogenetic abnormalities of hematopoietic tissue in retired workers of the Ohkunojima poison gas factory. | 8 |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | [Aggressive natural killer cell leukemia/lymphoma--possible existence of a new clinical entity originating from the third lineage of lymphoid cells]. | 1 |
| 13 | 36 | |
| 14 | 19 | |
| 15 | 30 | |
| 16 | 36 | |
| 17 | Autocrine generation and requirement of BSF-2/IL-6 for human multiple myelomasbreakdown → | 1414 |
| 18 | 13 | |
| 19 | Incidence of refractory anemia in 13th cycle adult health study sample. | 1 |
| 20 | [A case of acute myelogenous leukemia (AML) in 10 years course of thrombocytopenia (ITP) with episodes of splenectomy and of delivery (author's transl)]. | 2 |
About Atsushi Kuramoto
Atsushi Kuramoto is a scholar working on Hematology, Genetics and Microbiology, having authored 157 papers that have together received 4.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (27 papers), Chronic Myeloid Leukemia Treatments (26 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (19 papers). The work is most often cited by research in Hematology (2.0k citations), Genetics (763 citations) and Immunology (1.1k citations). Atsushi Kuramoto has collaborated with scholars based in Japan, France and India. Frequent co-authors include Hideki Asaoku, Michio Kawano, Osamu Tanabe, Hideo Tanaka, Koji Iwato, Tadamitsu Kishimoto, Tetsuya Taga, Tadashi Matsuda, Yasuhiro Horii and Toshio Hirano. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.
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.