Taizo Tasaka
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Oncology top 2%
- Viral-associated cancers and disorders
- Cancer-related Molecular Pathways
Papers in
- Hematology 38
- Acute Myeloid Leukemia Research 26
- Chronic Myeloid Leukemia Treatments 16
- Co-authors
- H. Phillip Koeffler (26 shared papers)Seisho Takeuchi (11 shared papers)Sven de Vos (4 shared papers)Takayuki Ikezoe (8 shared papers)Ethel Cesarman (3 shared papers)Chie Nishioka (6 shared papers)Kazuto Togitani (7 shared papers)Masami Nagai (29 shared papers)
- Journals
- Blood (11 papers)British Journal of Haematology (9 papers)Leukemia Research (7 papers)American Journal of Hematology (5 papers)Pathology International (4 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Taizo Tasaka
89 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 85
- Hematology 469
- Oncology 845
- Pathology and Forensic Medicine 446
- Genetics 204
- Cell Biology 313
Countries citing papers authored by Taizo Tasaka
This map shows the geographic impact of Taizo Tasaka'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 Taizo Tasaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taizo Tasaka more than expected).
Fields of papers citing papers by Taizo Tasaka
This network shows the impact of papers produced by Taizo Tasaka. 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 Taizo Tasaka. The network helps show where Taizo Tasaka may publish in the future.
Co-authors
The 25 scholars most cited alongside Taizo Tasaka, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 231 | |
| 2 | 1996 | 195 | |
| 3 | 1996 | 150 | |
| 4 | 2007 | 108 | |
| 5 | 1997 | 97 | |
| 6 | 2006 | 91 | |
| 7 | 2010 | 60 | |
| 8 | 2009 | 58 | |
| 9 | 1999 | 55 | |
| 10 | 1997 | 51 | |
| 11 | 1998 | 45 | |
| 12 | 1997 | 43 | |
| 13 | 1999 | 39 | |
| 14 | 1997 | 36 | |
| 15 | 1997 | 33 | |
| 16 | 1997 | 30 | |
| 17 | 2008 | 29 | |
| 18 | 2011 | 28 | |
| 19 | 2008 | 26 | |
| 20 | 2003 | 26 |
About Taizo Tasaka
Taizo Tasaka is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Chronic Myeloid Leukemia Treatments (16 papers), Lymphoma Diagnosis and Treatment (14 papers), Viral-associated cancers and disorders (13 papers), Chronic Lymphocytic Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Cytomegalovirus and herpesvirus research (8 papers) and Cancer-related Molecular Pathways (7 papers). The work is most often cited by research in Hematology (469 citations), Oncology (845 citations), Pathology and Forensic Medicine (446 citations), Genetics (204 citations) and Cell Biology (313 citations). Taizo Tasaka has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include H. Phillip Koeffler, Seisho Takeuchi, Sven de Vos, Takayuki Ikezoe, Ethel Cesarman, Chie Nishioka, Kazuto Togitani, Masami Nagai, Hiroya Asou and Hirokuni Taguchi. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia Research, American Journal of Hematology and Pathology International.
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.