Kazuma Ohyashiki
- Hematology top 0.05%
- Molecular Biology top 0.5%
- Genetics top 0.1%
- Cancer Research top 0.5%
- Oncology top 1%
- Co-authors
- Junko H. OhyashikiKeisuke ToyamaTomohiro UmezuTetsuzo TauchiChristopher CoxJohn M. BennettMichelle M. LeBeauGuillermo Sanz
- Topics
- Acute Myeloid Leukemia Research (146 papers)Chronic Myeloid Leukemia Treatments (138 papers)Chronic Lymphocytic Leukemia Research (94 papers)
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kazuma Ohyashiki
456 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Hematology 7.0k
- Molecular Biology 6.3k
- Genetics 3.2k
- Cancer Research 2.1k
- Oncology 1.8k
Countries citing papers authored by Kazuma Ohyashiki
This map shows the geographic impact of Kazuma Ohyashiki'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 Kazuma Ohyashiki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuma Ohyashiki more than expected).
Fields of papers citing papers by Kazuma Ohyashiki
This network shows the impact of papers produced by Kazuma Ohyashiki. 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 Kazuma Ohyashiki. The network helps show where Kazuma Ohyashiki may publish in the future.
Co-authorship network of co-authors of Kazuma Ohyashiki
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuma Ohyashiki. A scholar is included among the top collaborators of Kazuma Ohyashiki 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 Kazuma Ohyashiki. Kazuma Ohyashiki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 15 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 35 | |
| 7 | 17 | |
| 8 | 257 | |
| 9 | 29 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | Trisomy 11 acute myeloid leukemia: 5 additional cases from the Japan Adult Leukemia Study Group AML-92 and AML-95 databases. | 2 |
| 13 | [Rapidly progressive fibrosis and increased CD68-positive cells in the bone marrow at the terminal stage of adult T-cell leukemia accompanied by polycythemia vera]. | 2 |
| 14 | 9 | |
| 15 | 16 | |
| 16 | [The expression pattern of transcription factors (GATA, SCL) and biological characteristics in various leukemia cells]. | 3 |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 21 |
About Kazuma Ohyashiki
Kazuma Ohyashiki is a scholar working on Hematology, Genetics and Rheumatology, having authored 471 papers that have together received 13.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (146 papers), Chronic Myeloid Leukemia Treatments (138 papers) and Chronic Lymphocytic Leukemia Research (94 papers). The work is most often cited by research in Hematology (7.0k citations), Genetics (3.2k citations) and Cancer Research (2.1k citations). Kazuma Ohyashiki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Junko H. Ohyashiki, Keisuke Toyama, Tomohiro Umezu, Tetsuzo Tauchi, Christopher Cox, John M. Bennett, Michelle M. LeBeau, Guillermo Sanz, Pierre Fenaux and Pierre Morel. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.
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.