Ken Kawakubo
- Molecular Biology
- Physiology top 10%
- Hematology top 5%
- Genetics top 10%
- Immunology
- Co-authors
- Kazuma OhyashikiJunko H. OhyashikiKeisuke ToyamaCharles E. SamuelHiroshi IwamaTakashi ShimamotoShigefumi HayashiTetsuzo Tauchi
- Topics
- Acute Myeloid Leukemia Research (14 papers)Chronic Myeloid Leukemia Treatments (7 papers)Telomeres, Telomerase, and Senescence (6 papers)
- Cited by
- HematologyPhysiologyGenetics
- Partner nations
- JapanUnited States
In The Last Decade
Ken Kawakubo
29 papers receiving 503 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 276
- Physiology 229
- Hematology 208
- Genetics 93
- Immunology 68
Countries citing papers authored by Ken Kawakubo
This map shows the geographic impact of Ken Kawakubo'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 Ken Kawakubo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Kawakubo more than expected).
Fields of papers citing papers by Ken Kawakubo
This network shows the impact of papers produced by Ken Kawakubo. 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 Ken Kawakubo. The network helps show where Ken Kawakubo may publish in the future.
Co-authorship network of co-authors of Ken Kawakubo
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Kawakubo. A scholar is included among the top collaborators of Ken Kawakubo 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 Ken Kawakubo. Ken Kawakubo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 5 | |
| 3 | Telomere dynamics in myelodysplastic syndrome determined by telomere measurement of marrow metaphases. | 22 |
| 4 | 1 | |
| 5 | 40 | |
| 6 | 72 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | 51 | |
| 10 | [Essential thrombocythemia in transformation to acute leukemia (FAB-M0) as a natural history from myelofibrosis with t(1;7)]. | 5 |
| 11 | 3 | |
| 12 | Replication errors in hematological neoplasias: genomic instability in progression of disease is different among different types of leukemia. | 24 |
| 13 | [A lower-leg ulcer during hydroxyurea therapy for essential thrombocythemia]. | 2 |
| 14 | 6 | |
| 15 | 25 | |
| 16 | 7 | |
| 17 | 26 | |
| 18 | 10 | |
| 19 | The methylation status of the major breakpoint cluster region in human leukemia cells, including Philadelphia chromosome-positive cells, is linked to the lineage of hematopoietic cells. | 8 |
| 20 | 1 |
About Ken Kawakubo
Ken Kawakubo is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 31 papers that have together received 533 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Telomeres, Telomerase, and Senescence (6 papers). The work is most often cited by research in Hematology (208 citations), Physiology (229 citations) and Genetics (93 citations). Ken Kawakubo has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuma Ohyashiki, Junko H. Ohyashiki, Keisuke Toyama, Charles E. Samuel, Hiroshi Iwama, Takashi Shimamoto, Shigefumi Hayashi, Tetsuzo Tauchi, Shinpei Nakazawa and Naoyuki Yahata. Their work appears in journals such as Cancer, Gene and Virology.
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.