Jun Amaki
Impact in
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- Acute Myeloid Leukemia Research
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- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 3
- Hematopoietic Stem Cell Transplantation 3
- Chronic Myeloid Leukemia Treatments 2
- Oncology 5
- Co-authors
- Kiyoshi Ando (14 shared papers)Yoshiaki Ogawa (10 shared papers)Naoya Nakamura (6 shared papers)Hiroshi Kawada (11 shared papers)Minoru Kojima (7 shared papers)Ryujiro Hara (7 shared papers)Makoto Onizuka (11 shared papers)Ai Sato (5 shared papers)
- Journals
- International Journal of Hematology (5 papers)Acta Haematologica (1 paper)Scientific Reports (1 paper)Blood (1 paper)Journal of Clinical and Experimental Hematopathology (1 paper)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Jun Amaki
16 papers receiving 150 citations
Peers
Comparison fields: 5 of 45
- Hematology 42
- Oncology 98
- Pathology and Forensic Medicine 64
- Genetics 22
- Immunology 36
Countries citing papers authored by Jun Amaki
This map shows the geographic impact of Jun Amaki'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 Amaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Amaki more than expected).
Fields of papers citing papers by Jun Amaki
This network shows the impact of papers produced by Jun Amaki. 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 Amaki. The network helps show where Jun Amaki may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Amaki, 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 | 2014 | 57 | |
| 2 | 2017 | 29 | |
| 3 | 2015 | 16 | |
| 4 | 2017 | 9 | |
| 5 | 2016 | 7 | |
| 6 | 2012 | 7 | |
| 7 | 2018 | 5 | |
| 8 | 2013 | 5 | |
| 9 | 2015 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2019 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2022 | 0 | |
| 18 | 2020 | 0 | |
| 19 | 2016 | 0 |
About Jun Amaki
Jun Amaki is a scholar working on Hematology, Oncology, Surgery, Molecular Biology and Epidemiology, having authored 19 papers that have together received 154 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Retinoids in leukemia and cellular processes (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (42 citations), Oncology (98 citations), Pathology and Forensic Medicine (64 citations), Genetics (22 citations) and Immunology (36 citations). Jun Amaki has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Kiyoshi Ando, Yoshiaki Ogawa, Naoya Nakamura, Hiroshi Kawada, Minoru Kojima, Ryujiro Hara, Makoto Onizuka, Ai Sato, Shinichiro Machida and Ken Ohmachi. Their work appears in journals such as International Journal of Hematology, Acta Haematologica, Scientific Reports, Blood and Journal of Clinical and Experimental Hematopathology.
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.