Satoshi Ikegaya
- Co-authors
- Takanori UedaHiromichi IwasakiNobuhiro TakadaYasuhiko MitsukeAkira YoshidaShinji KishiYoshimasa UrasakiHitoshi Inoue
- Topics
- Acute Myeloid Leukemia Research (5 papers)Neutropenia and Cancer Infections (5 papers)Mycobacterium research and diagnosis (4 papers)
In The Last Decade
Satoshi Ikegaya
27 papers receiving 361 citations
Peers
Comparison fields: 5 of 85
- Epidemiology 76
- Molecular Biology 68
- Oncology 59
- Parasitology 58
- Pathology and Forensic Medicine 55
Countries citing papers authored by Satoshi Ikegaya
This map shows the geographic impact of Satoshi Ikegaya'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 Satoshi Ikegaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Ikegaya more than expected).
Fields of papers citing papers by Satoshi Ikegaya
This network shows the impact of papers produced by Satoshi Ikegaya. 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 Satoshi Ikegaya. The network helps show where Satoshi Ikegaya may publish in the future.
Co-authorship network of co-authors of Satoshi Ikegaya
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Ikegaya. A scholar is included among the top collaborators of Satoshi Ikegaya 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 Satoshi Ikegaya. Satoshi Ikegaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | The response to induction therapy is crucial for the treatment outcomes of elderly patients with acute myeloid leukemia: single-institution experience. | 6 |
| 6 | 18 | |
| 7 | 8 | |
| 8 | Detectable Wilms' tumor-1 transcription at treatment completion is associated with poor prognosis of acute myeloid leukemia: a single institution's experience. | 5 |
| 9 | Early relapse is associated with high serum soluble interleukin-2 receptor after the sixth cycle of R-CHOP chemotherapy in patients with advanced diffuse large B-cell lymphoma. | 13 |
| 10 | 8 | |
| 11 | 47 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 28 | |
| 15 | 38 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 15 | |
| 19 | 52 | |
| 20 | 13 |
About Satoshi Ikegaya
Satoshi Ikegaya is a scholar working on Clinical Biochemistry, Applied Microbiology and Biotechnology and Hematology, having authored 27 papers that have together received 372 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Neutropenia and Cancer Infections (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Parasitology (58 citations), Applied Microbiology and Biotechnology (10 citations) and Hematology (39 citations). Satoshi Ikegaya has collaborated with scholars based in Japan and Germany. Frequent co-authors include Takanori Ueda, Hiromichi Iwasaki, Nobuhiro Takada, Yasuhiko Mitsuke, Akira Yoshida, Shinji Kishi, Yoshimasa Urasaki, Hitoshi Inoue, Kunihiro Inai and Hironobu Naiki. Their work appears in journals such as Journal of Clinical Microbiology, American Journal of Tropical Medicine and Hygiene and Journal of Magnetic Resonance Imaging.
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.