Y. Takemoto
- Co-authors
- Kiyohiko NakasakiYutaka MizushimaK. NishiokaMasao HagiharaShingo KatoShunji YamamoriK. TsujiKayo Masuko
- Topics
- Chronic Myeloid Leukemia Treatments (3 papers)Chronic Lymphocytic Leukemia Research (2 papers)Acute Myeloid Leukemia Research (1 paper)
- Journals
- BloodThoraxBiomass and Bioenergy
- Partner nations
- JapanUzbekistan
In The Last Decade
Y. Takemoto
17 papers receiving 209 citations
Peers
Comparison fields: 5 of 62
- Immunology 68
- Molecular Biology 45
- Hematology 43
- Epidemiology 37
- Physiology 36
Countries citing papers authored by Y. Takemoto
This map shows the geographic impact of Y. Takemoto'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 Y. Takemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Takemoto more than expected).
Fields of papers citing papers by Y. Takemoto
This network shows the impact of papers produced by Y. Takemoto. 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 Y. Takemoto. The network helps show where Y. Takemoto may publish in the future.
Co-authorship network of co-authors of Y. Takemoto
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Takemoto. A scholar is included among the top collaborators of Y. Takemoto 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 Y. Takemoto. Y. Takemoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 20 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | Multicenter prospective study of interferon-alpha and conventional chemotherapy versus bone marrow transplantation for newly diagnosed patients with chronic myelogenous leukemia. Kouseisho Leukemia Study Group. | 3 |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 34 | |
| 9 | 13 | |
| 10 | 57 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | Hematopoietic recovery from host progenitors with normal karyotype devoid of Philadelphia chromosome in a patient with CML after allogeneic BMT. | 3 |
| 14 | Characterization of antigens of Paragonimus miyazakii by ELISA. | 1 |
| 15 | 重篤な再生不良性貧血のための骨髄移植(BMT)と兵庫の白血病 | 2 |
| 16 | [Blind-ending bifid ureter: 3 case reports]. | 1 |
| 17 | [A chromosome analysis in a patient with chronic myelogenous leukemia and gastric cancer (author's transl)]. | 4 |
About Y. Takemoto
Y. Takemoto is a scholar working on Hematology, Genetics and Sensory Systems, having authored 17 papers that have together received 220 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (43 citations), Immunology (68 citations) and Building and Construction (22 citations). Y. Takemoto has collaborated with scholars based in Japan and Uzbekistan. Frequent co-authors include Kiyohiko Nakasaki, Yutaka Mizushima, K. Nishioka, Masao Hagihara, Shingo Kato, Shunji Yamamori, K. Tsuji, Kayo Masuko, Toshio Ogihara and Takuma Kato. Their work appears in journals such as Blood, Thorax and Biomass and Bioenergy.
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.