Satoshi Takahashi
- Hematology top 0.1%
- Hematopoietic Stem Cell Transplantation 175
- Acute Myeloid Leukemia Research 73
- Chronic Myeloid Leukemia Treatments 21
- Genetics top 1%
- Transplantation top 2%
- Immunology top 5%
- Immune Cell Function and Interaction 46
- T-cell and B-cell Immunology 22
- Oncology top 2%
- Polyomavirus and related diseases 33
-
- Acute Lymphoblastic Leukemia research 43
-
- Cytomegalovirus and herpesvirus research 25
- Co-authors
- Arinobu TojoJun OoiYoshiko AtsutaTakaaki KonumaShigetaka AsanoAkira TomonariTohru IsekiHisashi Sakamaki
- Cited by
- HematologyGeneticsTransplantation
- Journals
- Bone Marrow Transplantation (39 papers)Biology of Blood and Marrow Transplantation (32 papers)Blood (28 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Satoshi Takahashi
260 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Hematology 3.3k
- Genetics 742
- Transplantation 163
- Immunology 892
- Oncology 1.1k
Countries citing papers authored by Satoshi Takahashi
This map shows the geographic impact of Satoshi Takahashi'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 Satoshi Takahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Takahashi more than expected).
Fields of papers citing papers by Satoshi Takahashi
This network shows the impact of papers produced by Satoshi Takahashi. 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 Satoshi Takahashi. The network helps show where Satoshi Takahashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satoshi Takahashi, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 71 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 30 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 7 | |
| 17 | 2017 | 13 | |
| 18 | 2016 | 3 | |
| 19 | 2000 | 4 | |
| 20 | 1998 | 13 |
About Satoshi Takahashi
Satoshi Takahashi is a scholar working on Hematology, Transplantation and Immunology, having authored 273 papers that have together received 4.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (175 papers), Acute Myeloid Leukemia Research (73 papers), Immune Cell Function and Interaction (46 papers), Acute Lymphoblastic Leukemia research (43 papers), Polyomavirus and related diseases (33 papers), Cytomegalovirus and herpesvirus research (25 papers), T-cell and B-cell Immunology (22 papers) and Chronic Myeloid Leukemia Treatments (21 papers). The work is most often cited by research in Hematology (3.3k citations), Genetics (742 citations) and Transplantation (163 citations). Satoshi Takahashi has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Arinobu Tojo, Jun Ooi, Yoshiko Atsuta, Takaaki Konuma, Shigetaka Asano, Akira Tomonari, Tohru Iseki, Hisashi Sakamaki, Kaoru Uchimaru and Kashiya Takasugi. Their work appears in journals such as Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Blood, International Journal of Hematology and Annals of 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.