Ken Tabuchi
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Autoimmune and Inflammatory Disorders Research
- Transplantation top 5%
Papers in
- Hematology 43
- Acute Myeloid Leukemia Research 30
- Hematopoietic Stem Cell Transplantation 27
- Multiple Myeloma Research and Treatments 3
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- Acute Lymphoblastic Leukemia research 17
- Co-authors
- Masahiro TsuchidaShunichi KatoRyoji HanadaRyōji KobayashiKoji KatoKeizo HoribeIchiro TsukimotoKeisei Kawa
- Journals
- British Journal of Haematology (9 papers)International Journal of Hematology (8 papers)Pediatric Blood & Cancer (7 papers)Bone Marrow Transplantation (5 papers)Blood (5 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Ken Tabuchi
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 59
- Hematology 1.1k
- Transplantation 48
- Public Health, Environmental and Occupational Health 465
- Immunology 334
- Genetics 165
Countries citing papers authored by Ken Tabuchi
This map shows the geographic impact of Ken Tabuchi'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 Ken Tabuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Tabuchi more than expected).
Fields of papers citing papers by Ken Tabuchi
This network shows the impact of papers produced by Ken Tabuchi. 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 Ken Tabuchi. The network helps show where Ken Tabuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Tabuchi, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2020 | 7 | |
| 5 | 2020 | 8 | |
| 6 | 2019 | 6 | |
| 7 | 2019 | 10 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 8 | |
| 10 | 2017 | 15 | |
| 11 | 2015 | 12 | |
| 12 | 2014 | 29 | |
| 13 | 2013 | 12 | |
| 14 | 2013 | 9 | |
| 15 | 2011 | 30 | |
| 16 | 2010 | 23 | |
| 17 | 2010 | 19 | |
| 18 | [The unification of hematopoietic stem cell transplantation registry in Japan and establishment of the TRUMP system]. | 2007 | 1 |
| 19 | 2007 | 242 | |
| 20 | 2006 | 34 |
About Ken Tabuchi
Ken Tabuchi is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Immunology and Transplantation, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Hematopoietic Stem Cell Transplantation (27 papers), Acute Lymphoblastic Leukemia research (17 papers), Polyomavirus and related diseases (5 papers), Parvovirus B19 Infection Studies (4 papers), Immune Cell Function and Interaction (4 papers), Multiple Myeloma Research and Treatments (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Hematology (1.1k citations), Transplantation (48 citations), Public Health, Environmental and Occupational Health (465 citations), Immunology (334 citations) and Genetics (165 citations). Ken Tabuchi has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Masahiro Tsuchida, Shunichi Kato, Ryoji Hanada, Ryōji Kobayashi, Koji Kato, Keizo Horibe, Ichiro Tsukimoto, Keisei Kawa, Hiromasa Yabe and Yoshiko Atsuta. Their work appears in journals such as British Journal of Haematology, International Journal of Hematology, Pediatric Blood & Cancer, Bone Marrow Transplantation and Blood.
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.