Kinuko Mitani
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 82
- Chronic Myeloid Leukemia Treatments 33
- Hematopoietic Stem Cell Transplantation 13
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 24
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
- Molecular Biology top 2%
- Retinoids in leukemia and cellular processes 15
- Immunology top 5%
- Oncology top 2%
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- Acute Lymphoblastic Leukemia research 24
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- Lymphoma Diagnosis and Treatment 15
- Co-authors
- Hisamaru HiraiMineo KurokawaSeishi OgawaYoshio YazakiTetsuya YamagataKazuhiro MakiYoichi ImaiY Yazaki
- Cited by
- HematologyGeneticsMolecular Biology
- Journals
- Blood (31 papers)International Journal of Hematology (17 papers)Biochemical and Biophysical Research Communications (10 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kinuko Mitani
191 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 113
- Hematology 2.9k
- Genetics 863
- Molecular Biology 3.8k
- Immunology 863
- Oncology 1.1k
Countries citing papers authored by Kinuko Mitani
This map shows the geographic impact of Kinuko Mitani'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 Kinuko Mitani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinuko Mitani more than expected).
Fields of papers citing papers by Kinuko Mitani
This network shows the impact of papers produced by Kinuko Mitani. 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 Kinuko Mitani. The network helps show where Kinuko Mitani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kinuko Mitani, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 20 | |
| 9 | 2010 | 17 | |
| 10 | 2009 | 10 | |
| 11 | 2006 | 9 | |
| 12 | 2005 | 31 | |
| 13 | 2004 | 65 | |
| 14 | 2004 | 76 | |
| 15 | 2000 | 49 | |
| 16 | 1999 | 20 | |
| 17 | 1998 | 11 | |
| 18 | 1998 | 23 | |
| 19 | 1995 | 92 | |
| 20 | 1992 | 4 |
About Kinuko Mitani
Kinuko Mitani is a scholar working on Hematology, Genetics and Molecular Biology, having authored 202 papers that have together received 6.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (82 papers), Chronic Myeloid Leukemia Treatments (33 papers), Chronic Lymphocytic Leukemia Research (24 papers), Acute Lymphoblastic Leukemia research (24 papers), Retinoids in leukemia and cellular processes (15 papers), Lymphoma Diagnosis and Treatment (15 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers). The work is most often cited by research in Hematology (2.9k citations), Genetics (863 citations) and Molecular Biology (3.8k citations). Kinuko Mitani has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hisamaru Hirai, Mineo Kurokawa, Seishi Ogawa, Yoshio Yazaki, Tetsuya Yamagata, Kazuhiro Maki, Yoichi Imai, Y Yazaki, Shigeru Chiba and Kozo Tanaka. Their work appears in journals such as Blood, International Journal of Hematology, Biochemical and Biophysical Research Communications, British Journal of Haematology and Journal of Biological Chemistry.
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.