Mitsutoshi Kurosawa
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 7
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 11
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 21
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- Viral-associated cancers and disorders 8
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- Immune Cell Function and Interaction 7
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- CNS Lymphoma Diagnosis and Treatment 5
- Co-authors
- Junji TanakaM OkabeMasahiro AsakaMasaharu KasaiSachiko SuzukiTakeshi KondoMasao WatanabeMasanobu Kobayashi
- Partner nations
- JapanUnited States
In The Last Decade
Mitsutoshi Kurosawa
45 papers receiving 592 citations
Peers
Comparison fields: 5 of 59
- Hematology 241
- Genetics 176
- Pathology and Forensic Medicine 140
- Oncology 209
- Immunology 108
Countries citing papers authored by Mitsutoshi Kurosawa
This map shows the geographic impact of Mitsutoshi Kurosawa'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 Mitsutoshi Kurosawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsutoshi Kurosawa more than expected).
Fields of papers citing papers by Mitsutoshi Kurosawa
This network shows the impact of papers produced by Mitsutoshi Kurosawa. 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 Mitsutoshi Kurosawa. The network helps show where Mitsutoshi Kurosawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitsutoshi Kurosawa, 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 | 2024 | 2 | |
| 2 | 2022 | 10 | |
| 3 | 2022 | 1 | |
| 4 | 2020 | 8 | |
| 5 | 2016 | 5 | |
| 6 | 2015 | 4 | |
| 7 | 2013 | 24 | |
| 8 | [Clinical efficacy of high-dose cepharanthine for idiopathic thrombocytopenic purpura: retrospective multicenter analysis]. | 2012 | 4 |
| 9 | 2012 | 3 | |
| 10 | 2007 | 6 | |
| 11 | 2007 | 5 | |
| 12 | 2006 | 1 | |
| 13 | 2002 | 6 | |
| 14 | 2001 | 3 | |
| 15 | 1996 | 8 | |
| 16 | 1995 | 7 | |
| 17 | 1995 | 12 | |
| 18 | 1994 | 105 | |
| 19 | 1994 | 16 | |
| 20 | 1994 | 0 |
About Mitsutoshi Kurosawa
Mitsutoshi Kurosawa is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 49 papers that have together received 610 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (11 papers), Chronic Myeloid Leukemia Treatments (8 papers), Viral-associated cancers and disorders (8 papers), Acute Myeloid Leukemia Research (7 papers), Immune Cell Function and Interaction (7 papers), CNS Lymphoma Diagnosis and Treatment (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (241 citations), Genetics (176 citations) and Pathology and Forensic Medicine (140 citations). Mitsutoshi Kurosawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Junji Tanaka, M Okabe, Masahiro Asaka, Masaharu Kasai, Sachiko Suzuki, Takeshi Kondo, Masao Watanabe, Masanobu Kobayashi, Masuo Hosokawa and Toshiyuki Itaya. Their work appears in journals such as Journal of Clinical Oncology, Blood and Gastroenterology.
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.