Satoshi Ichikawa
- Hematology top 10%
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 7
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 16
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 24
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- Immune Cell Function and Interaction 8
- Complement system in diseases 6
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- Viral-associated cancers and disorders 13
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- CNS Lymphoma Diagnosis and Treatment 8
- Co-authors
- Hideo HarigaeNoriko FukuharaYasushi OnishiRyo IchinohasamaTetsuya FukudaKenichi IshizawaYoko OkitsuKoichi Onodera
- Journals
- International Journal of Hematology (6 papers)Journal of Clinical and Experimental Hematopathology (5 papers)CardioVascular and Interventional Radiology (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Satoshi Ichikawa
61 papers receiving 444 citations
Peers
Comparison fields: 5 of 77
- Hematology 137
- Genetics 124
- Pathology and Forensic Medicine 119
- Hepatology 45
- Immunology 81
Countries citing papers authored by Satoshi Ichikawa
This map shows the geographic impact of Satoshi Ichikawa'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 Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Ichikawa more than expected).
Fields of papers citing papers by Satoshi Ichikawa
This network shows the impact of papers produced by Satoshi Ichikawa. 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 Ichikawa. The network helps show where Satoshi Ichikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satoshi Ichikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 47 | |
| 15 | 2018 | 13 | |
| 16 | Thessaloniki Declaration of the Conference on "Educating for a Sustainable Future : A Transdisciplinary Vision for Concerted Action" | 1999 | 2 |
| 17 | 1999 | 13 | |
| 18 | 1997 | 9 | |
| 19 | 1997 | 8 | |
| 20 | 1992 | 0 |
About Satoshi Ichikawa
Satoshi Ichikawa is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 75 papers that have together received 462 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (24 papers), Chronic Lymphocytic Leukemia Research (16 papers), Viral-associated cancers and disorders (13 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (8 papers), Immune Cell Function and Interaction (8 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Complement system in diseases (6 papers). The work is most often cited by research in Hematology (137 citations), Genetics (124 citations) and Pathology and Forensic Medicine (119 citations). Satoshi Ichikawa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hideo Harigae, Noriko Fukuhara, Yasushi Onishi, Ryo Ichinohasama, Tetsuya Fukuda, Kenichi Ishizawa, Yoko Okitsu, Koichi Onodera, Shozo Hirota and Shinichi Matsumoto. Their work appears in journals such as International Journal of Hematology, Journal of Clinical and Experimental Hematopathology, CardioVascular and Interventional Radiology, Cancer Science and Scientific Reports.
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.