Hiro Tatetsu
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
Papers in ⓘ
- Hematology 14
- Multiple Myeloma Research and Treatments 6
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 4
- Genetics 8
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Hiroaki Mitsuya (15 shared papers)Daniel G. Tenen (8 shared papers)Yutaka Okuno (12 shared papers)Li Chai (7 shared papers)Chong Gao (5 shared papers)Hiroyuki Hata (9 shared papers)Shikiko Ueno (11 shared papers)Nikki R. Kong (1 shared paper)
- Journals
- Blood (7 papers)International Journal of Hematology (3 papers)Cancer Science (3 papers)Oncogene (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Hiro Tatetsu
32 papers receiving 592 citations
Peers
Comparison fields: 5 of 62
- Genetics 123
- Hematology 127
- Pathology and Forensic Medicine 125
- Immunology 119
- Molecular Biology 356
Countries citing papers authored by Hiro Tatetsu
This map shows the geographic impact of Hiro Tatetsu'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 Hiro Tatetsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiro Tatetsu more than expected).
Fields of papers citing papers by Hiro Tatetsu
This network shows the impact of papers produced by Hiro Tatetsu. 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 Hiro Tatetsu. The network helps show where Hiro Tatetsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiro Tatetsu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2020 | 60 | |
| 3 | 2006 | 55 | |
| 4 | 2013 | 51 | |
| 5 | 2007 | 41 | |
| 6 | 2012 | 38 | |
| 7 | 2005 | 32 | |
| 8 | 2017 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2016 | 26 | |
| 11 | 2022 | 26 | |
| 12 | 2022 | 22 | |
| 13 | 2009 | 17 | |
| 14 | 2006 | 16 | |
| 15 | 2009 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2016 | 11 | |
| 18 | 2018 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2012 | 5 |
About Hiro Tatetsu
Hiro Tatetsu is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 35 papers that have together received 600 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Protein Degradation and Inhibitors (6 papers), Multiple Myeloma Research and Treatments (6 papers), Renal and related cancers (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Genetics (123 citations), Hematology (127 citations), Pathology and Forensic Medicine (125 citations), Immunology (119 citations) and Molecular Biology (356 citations). Hiro Tatetsu has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Hiroaki Mitsuya, Daniel G. Tenen, Yutaka Okuno, Li Chai, Chong Gao, Hiroyuki Hata, Shikiko Ueno, Nikki R. Kong, Giovanni Amabile and Miki Nakamura. Their work appears in journals such as Blood, International Journal of Hematology, Cancer Science, Oncogene and British Journal of Haematology.
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.