Jun Inaba
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Plant Science top 10%
- Plant nutrient uptake and metabolism
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
- Hematology 11
- Hematopoietic Stem Cell Transplantation 7
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Keizo Horibe (7 shared papers)Takaharu Matsuyama (6 shared papers)Yoshiyuki Takahashi (5 shared papers)Hitoshi Sakakibara (2 shared papers)Takatoshi Kiba (2 shared papers)Masaru Kondo (4 shared papers)Seiji Kojima (5 shared papers)Kazuko Kudo (4 shared papers)
In The Last Decade
Jun Inaba
17 papers receiving 729 citations
Peers
Comparison fields: 5 of 73
- Hematology 315
- Plant Science 305
- Genetics 72
- Transplantation 10
- Immunology 77
Countries citing papers authored by Jun Inaba
This map shows the geographic impact of Jun Inaba'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 Jun Inaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Inaba more than expected).
Fields of papers citing papers by Jun Inaba
This network shows the impact of papers produced by Jun Inaba. 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 Jun Inaba. The network helps show where Jun Inaba may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Inaba, 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 | 2018 | 155 | |
| 2 | 2021 | 139 | |
| 3 | 1999 | 134 | |
| 4 | 2000 | 91 | |
| 5 | 2020 | 42 | |
| 6 | 2001 | 36 | |
| 7 | 2001 | 24 | |
| 8 | 2000 | 24 | |
| 9 | 2022 | 22 | |
| 10 | 2000 | 21 | |
| 11 | 1999 | 19 | |
| 12 | 1995 | 13 | |
| 13 | Unrelated donor marrow transplantation for severe acquired aplastic anemia using cyclophosphamide, antithymocyte globulin, and total body irradiation. | 1995 | 7 |
| 14 | 2024 | 6 | |
| 15 | 1999 | 4 | |
| 16 | Allogeneic bone marrow and peripheral stem cell transplantation from a haplo-identical mother and CD34 positive selection for CML. | 1996 | 2 |
| 17 | [Clinical trial of antithymocyte globulin for prophylaxis of acute graft-versus-host disease in pediatric recipients of bone marrow transplantation from unrelated donors]. | 1999 | 1 |
About Jun Inaba
Jun Inaba is a scholar working on Hematology, Molecular Biology, Surgery, Oncology and Plant Science, having authored 17 papers that have together received 740 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (5 papers), Plant Molecular Biology Research (3 papers), Polyomavirus and related diseases (3 papers), Transplantation: Methods and Outcomes (3 papers), Plant nutrient uptake and metabolism (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (315 citations), Plant Science (305 citations), Genetics (72 citations), Transplantation (10 citations) and Immunology (77 citations). Jun Inaba has collaborated with scholars based in Japan, Singapore and France. Frequent co-authors include Keizo Horibe, Takaharu Matsuyama, Yoshiyuki Takahashi, Hitoshi Sakakibara, Takatoshi Kiba, Masaru Kondo, Seiji Kojima, Kazuko Kudo, Minoru Fukuda and Kimikazu Matsumoto. Their work appears in journals such as British Journal of Haematology, The Plant Journal, Blood, Bone Marrow Transplantation and Nature Communications.
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.