Yasuyuki Arai
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 59
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 12
- Transplantation top 5%
- Immunology top 5%
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- Acute Lymphoblastic Leukemia research 27
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- CAR-T cell therapy research 17
- Polyomavirus and related diseases 11
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- Structural Load-Bearing Analysis 10
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- Renal cell carcinoma treatment 9
- Co-authors
- Richard J. CohenLeonard S. LillyL. Howard HartleyPaul AlbrechtWilson S. ColucciJ. Philip SaulKouhei YamashitaAkifumi Takaori‐Kondo
- Partner nations
- JapanUnited StatesJordan
In The Last Decade
Yasuyuki Arai
162 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Hematology 500
- Complementary and alternative medicine 256
- Transplantation 82
- Cardiology and Cardiovascular Medicine 546
- Immunology 464
Countries citing papers authored by Yasuyuki Arai
This map shows the geographic impact of Yasuyuki Arai'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 Yasuyuki Arai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuyuki Arai more than expected).
Fields of papers citing papers by Yasuyuki Arai
This network shows the impact of papers produced by Yasuyuki Arai. 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 Yasuyuki Arai. The network helps show where Yasuyuki Arai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuyuki Arai, 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 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 3 | |
| 16 | Law of the European Convention on Human Rights | 2009 | 3 |
| 17 | 2002 | 0 | |
| 18 | 2001 | 1 | |
| 19 | 1997 | 2 | |
| 20 | 1994 | 1 |
About Yasuyuki Arai
Yasuyuki Arai is a scholar working on Hematology, Transplantation, Oncology, Immunology and Genetics, having authored 182 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (59 papers), Acute Lymphoblastic Leukemia research (27 papers), Acute Myeloid Leukemia Research (22 papers), CAR-T cell therapy research (17 papers), Chronic Myeloid Leukemia Treatments (12 papers), Polyomavirus and related diseases (11 papers), Structural Load-Bearing Analysis (10 papers) and Renal cell carcinoma treatment (9 papers). The work is most often cited by research in Hematology (500 citations), Complementary and alternative medicine (256 citations), Transplantation (82 citations), Cardiology and Cardiovascular Medicine (546 citations) and Immunology (464 citations). Yasuyuki Arai has collaborated with scholars based in Japan, United States and Jordan. Frequent co-authors include Richard J. Cohen, Leonard S. Lilly, L. Howard Hartley, Paul Albrecht, Wilson S. Colucci, J. Philip Saul, Kouhei Yamashita, Akifumi Takaori‐Kondo, Tadakazu Kondo and Tomohiro Watanabe. Their work appears in journals such as Blood, International Journal of Hematology, Cytotherapy, Transplantation and Cellular Therapy 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.