Takashi Kasukabe
- Molecular Biology top 5%
- Hematology top 2%
- Oncology top 10%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Yoshio HonmaMotoo HozumiJunko Okabe‐KadoShunichi KumakuraYuki YamaguchiJunko OkabeHiroaki NomuraNobuo Kato
- Topics
- Retinoids in leukemia and cellular processes (21 papers)Acute Myeloid Leukemia Research (19 papers)Mechanisms of cancer metastasis (12 papers)
- Partner nations
- Japan
In The Last Decade
Takashi Kasukabe
100 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.8k
- Hematology 453
- Oncology 418
- Cancer Research 351
- Pulmonary and Respiratory Medicine 319
Countries citing papers authored by Takashi Kasukabe
This map shows the geographic impact of Takashi Kasukabe'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 Takashi Kasukabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kasukabe more than expected).
Fields of papers citing papers by Takashi Kasukabe
This network shows the impact of papers produced by Takashi Kasukabe. 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 Takashi Kasukabe. The network helps show where Takashi Kasukabe may publish in the future.
Co-authorship network of co-authors of Takashi Kasukabe
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kasukabe. A scholar is included among the top collaborators of Takashi Kasukabe 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 Takashi Kasukabe. Takashi Kasukabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 83 | |
| 3 | 22 | |
| 4 | 48 | |
| 5 | 26 | |
| 6 | 0 | |
| 7 | 27 | |
| 8 | 24 | |
| 9 | 4 | |
| 10 | 29 | |
| 11 | 20 | |
| 12 | 35 | |
| 13 | Inhibition by interleukin 4 of leukemia inhibitory factor-, interleukin 6-, and dexamethasone-induced differentiation of mouse myeloid leukemia cells: role of c-myc and junB proto-oncogenes. | 13 |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 54 | |
| 17 | 4 | |
| 18 | Inhibition of functional and morphological differentiation of cultured mouse myeloid leukemia cells by tumor promoters. | 9 |
| 19 | Prolongation of survival time of mice inoculated with myeloid leukemia cells by inducers of normal differentiation. | 65 |
| 20 | Structure requirements and affinity of steroids to bind with receptor for induction of differentiation of cultured mouse myeloid leukemia cells. | 19 |
About Takashi Kasukabe
Takashi Kasukabe is a scholar working on Hematology, Molecular Biology and Genetics, having authored 101 papers that have together received 2.5k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (21 papers), Acute Myeloid Leukemia Research (19 papers) and Mechanisms of cancer metastasis (12 papers). The work is most often cited by research in Hematology (453 citations), Molecular Biology (1.8k citations) and Cancer Research (351 citations). Takashi Kasukabe has collaborated with scholars based in Japan. Frequent co-authors include Yoshio Honma, Motoo Hozumi, Junko Okabe‐Kado, Shunichi Kumakura, Yuki Yamaguchi, Junko Okabe, Hiroaki Nomura, Nobuo Kato, Yuri Yamamoto-Yamaguchi and Yasuhiko Kaneko. Their work appears in journals such as Journal of Biological Chemistry, Blood and JNCI Journal of the National Cancer Institute.
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.