Kenzaburo Tani
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 30
- Acute Myeloid Leukemia Research 19
- Immunology top 2%
- Immunotherapy and Immune Responses 33
- Immune Cell Function and Interaction 27
- Genetics top 2%
- Virus-based gene therapy research 46
- Oncology top 2%
- CAR-T cell therapy research 22
- Genetics top 2%
- Virus-based gene therapy research 46
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- CRISPR and Genetic Engineering 24
- RNA Interference and Gene Delivery 23
- Co-authors
- Shigetaka AsanoHiroyuki InoueArinobu TojoSatoshi TakahashiTsuyoshi TanabeRyo KuritaLi‐Chung HsuJun Ooi
- Cited by
- HematologyImmunologyGenetics
- Journals
- Blood (20 papers)American Journal of Hematology (14 papers)British Journal of Haematology (9 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kenzaburo Tani
220 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 117
- Hematology 1.2k
- Immunology 1.4k
- Genetics 569
- Oncology 1.2k
- Genetics 1.1k
Countries citing papers authored by Kenzaburo Tani
This map shows the geographic impact of Kenzaburo Tani'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 Kenzaburo Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenzaburo Tani more than expected).
Fields of papers citing papers by Kenzaburo Tani
This network shows the impact of papers produced by Kenzaburo Tani. 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 Kenzaburo Tani. The network helps show where Kenzaburo Tani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenzaburo Tani, 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 | 2023 | 9 | |
| 2 | 2020 | 10 | |
| 3 | 2018 | 30 | |
| 4 | 2018 | 4 | |
| 5 | 2018 | 9 | |
| 6 | 2016 | 8 | |
| 7 | 2016 | 5 | |
| 8 | 2016 | 4 | |
| 9 | 2014 | 15 | |
| 10 | 2012 | 188 | |
| 11 | 2010 | 23 | |
| 12 | 2008 | 15 | |
| 13 | 2006 | 31 | |
| 14 | 2006 | 8 | |
| 15 | 2006 | 2 | |
| 16 | 2005 | 40 | |
| 17 | 2005 | 1 | |
| 18 | 1998 | 13 | |
| 19 | A new glucose-6-phosphate dehydrogenase variant (G6PD Iwate) associated with congenital non-spherocytic hemolytic anemia. | 1988 | 5 |
| 20 | 1988 | 7 |
About Kenzaburo Tani
Kenzaburo Tani is a scholar working on Hematology, Immunology and Genetics, having authored 225 papers that have together received 5.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (46 papers), Immunotherapy and Immune Responses (33 papers), Hematopoietic Stem Cell Transplantation (30 papers), Immune Cell Function and Interaction (27 papers), CRISPR and Genetic Engineering (24 papers), RNA Interference and Gene Delivery (23 papers), CAR-T cell therapy research (22 papers) and Acute Myeloid Leukemia Research (19 papers). The work is most often cited by research in Hematology (1.2k citations), Immunology (1.4k citations) and Genetics (569 citations). Kenzaburo Tani has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shigetaka Asano, Hiroyuki Inoue, Arinobu Tojo, Satoshi Takahashi, Tsuyoshi Tanabe, Ryo Kurita, Li‐Chung Hsu, Jun Ooi, Naoki Shirafuji and Shiro Miwa. Their work appears in journals such as Blood, American Journal of Hematology, British Journal of Haematology, Molecular Therapy 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.