Kazuo Dan
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Platelet Disorders and Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 56
- Acute Myeloid Leukemia Research 30
- Chronic Myeloid Leukemia Treatments 18
- Hematopoietic Stem Cell Transplantation 7
- Co-authors
- Kíyoyuki Ogata (22 shared papers)Koiti Inokuchi (42 shared papers)Hideto Tamura (18 shared papers)Takeo Nomura (19 shared papers)Norio Yokose (13 shared papers)Hiroki Yamaguchi (28 shared papers)Kyoko Nakamura (6 shared papers)Emi An (7 shared papers)
- Journals
- Leukemia Research (13 papers)Blood (12 papers)International Journal of Hematology (11 papers)British Journal of Haematology (7 papers)Experimental Hematology (3 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Kazuo Dan
92 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 91
- Hematology 777
- Genetics 312
- Immunology 559
- Oncology 404
- Pathology and Forensic Medicine 153
Countries citing papers authored by Kazuo Dan
This map shows the geographic impact of Kazuo Dan'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 Kazuo Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Dan more than expected).
Fields of papers citing papers by Kazuo Dan
This network shows the impact of papers produced by Kazuo Dan. 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 Kazuo Dan. The network helps show where Kazuo Dan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kazuo Dan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 174 | |
| 2 | 2006 | 114 | |
| 3 | 1997 | 114 | |
| 4 | 2000 | 111 | |
| 5 | 2005 | 100 | |
| 6 | 2002 | 78 | |
| 7 | 2010 | 62 | |
| 8 | 1998 | 62 | |
| 9 | 2000 | 42 | |
| 10 | 2009 | 39 | |
| 11 | 2006 | 38 | |
| 12 | 2006 | 36 | |
| 13 | 2010 | 32 | |
| 14 | 2008 | 29 | |
| 15 | 2003 | 28 | |
| 16 | 2009 | 27 | |
| 17 | 1991 | 24 | |
| 18 | 2005 | 24 | |
| 19 | 2011 | 22 | |
| 20 | 1990 | 22 |
About Kazuo Dan
Kazuo Dan is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Oncology, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Chronic Myeloid Leukemia Treatments (18 papers), Chronic Lymphocytic Leukemia Research (14 papers), Immune Cell Function and Interaction (12 papers), Acute Lymphoblastic Leukemia research (11 papers), Lymphoma Diagnosis and Treatment (9 papers), Eosinophilic Disorders and Syndromes (8 papers) and Hematopoietic Stem Cell Transplantation (7 papers). The work is most often cited by research in Hematology (777 citations), Genetics (312 citations), Immunology (559 citations), Oncology (404 citations) and Pathology and Forensic Medicine (153 citations). Kazuo Dan has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Kíyoyuki Ogata, Koiti Inokuchi, Hideto Tamura, Takeo Nomura, Norio Yokose, Hiroki Yamaguchi, Kyoko Nakamura, Emi An, Lieping Chen and Taishi Yamashita. Their work appears in journals such as Leukemia Research, Blood, International Journal of Hematology, British Journal of Haematology and Experimental Hematology.
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.