Yoshihiro Inamoto
- Hematology top 0.2%
- Hematopoietic Stem Cell Transplantation 108
- Acute Myeloid Leukemia Research 21
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments 16
- Genetics top 2%
- Immunology top 2%
- Immune Cell Function and Interaction 26
- T-cell and B-cell Immunology 25
- Oncology top 5%
- Polyomavirus and related diseases 22
-
- Acute Lymphoblastic Leukemia research 32
-
- Childhood Cancer Survivors' Quality of Life 16
- Co-authors
- Stephanie J. LeeMary E.D. FlowersPaul J. MartinPaul A. CarpenterBarry E. StorerJoseph PidalaMadan JagasiaRainer Storb
- Cited by
- HematologyTransplantationGenetics
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (1 paper)Blood (20 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yoshihiro Inamoto
162 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Hematology 2.8k
- Transplantation 383
- Genetics 573
- Immunology 1.1k
- Oncology 847
Countries citing papers authored by Yoshihiro Inamoto
This map shows the geographic impact of Yoshihiro Inamoto'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 Yoshihiro Inamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiro Inamoto more than expected).
Fields of papers citing papers by Yoshihiro Inamoto
This network shows the impact of papers produced by Yoshihiro Inamoto. 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 Yoshihiro Inamoto. The network helps show where Yoshihiro Inamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshihiro Inamoto, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 25 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 27 | |
| 14 | 2020 | 0 | |
| 15 | 2019 | 0 | |
| 16 | 2019 | 5 | |
| 17 | 2016 | 9 | |
| 18 | 2014 | 86 | |
| 19 | 2012 | 6 | |
| 20 | Comparative analysis of risk factors for acute graft-versus-host disease and for chronic graft-versus-host disease according to National Institutes of Health consensus criteriabreakdown → | 2011 | 453 |
About Yoshihiro Inamoto
Yoshihiro Inamoto is a scholar working on Hematology, Transplantation and Immunology, having authored 172 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (108 papers), Acute Lymphoblastic Leukemia research (32 papers), Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (25 papers), Polyomavirus and related diseases (22 papers), Acute Myeloid Leukemia Research (21 papers), Renal Transplantation Outcomes and Treatments (16 papers) and Childhood Cancer Survivors' Quality of Life (16 papers). The work is most often cited by research in Hematology (2.8k citations), Transplantation (383 citations) and Genetics (573 citations). Yoshihiro Inamoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Stephanie J. Lee, Mary E.D. Flowers, Paul J. Martin, Paul A. Carpenter, Barry E. Storer, Joseph Pidala, Madan Jagasia, Rainer Storb, Takahiro Fukuda and Xiaoyu Chai. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.