Jun Aoki
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 35
- Acute Myeloid Leukemia Research 31
- Rheumatology top 2%
- Bone Tumor Diagnosis and Treatments 7
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- Sarcoma Diagnosis and Treatment 10
- Medical Imaging and Pathology Studies 6
- Neurology top 5%
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- Medical Imaging Techniques and Applications 5
- Radiopharmaceutical Chemistry and Applications 4
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- Acute Lymphoblastic Leukemia research 20
- Co-authors
- Keigo EndoHideomi WatanabeTetsuya ShinozakiKenji TakagishiBrian G. ThomasLifeng ZhangTomio InoueYoshito Tsushima
- Journals
- Biology of Blood and Marrow Transplantation (10 papers)Bone Marrow Transplantation (9 papers)Blood (6 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Jun Aoki
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 118
- Hematology 340
- Rheumatology 413
- Pulmonary and Respiratory Medicine 561
- Neurology 253
- Radiology, Nuclear Medicine and Imaging 361
Countries citing papers authored by Jun Aoki
This map shows the geographic impact of Jun Aoki'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 Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Aoki more than expected).
Fields of papers citing papers by Jun Aoki
This network shows the impact of papers produced by Jun Aoki. 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 Aoki. The network helps show where Jun Aoki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Aoki, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 2 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 28 | |
| 14 | 2015 | 2 | |
| 15 | 2012 | 7 | |
| 16 | 2003 | 22 | |
| 17 | 1999 | 18 | |
| 18 | 1996 | 60 | |
| 19 | 1996 | 17 | |
| 20 | 1990 | 31 |
About Jun Aoki
Jun Aoki is a scholar working on Hematology, General Engineering and Rheumatology, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (35 papers), Acute Myeloid Leukemia Research (31 papers), Acute Lymphoblastic Leukemia research (20 papers), Sarcoma Diagnosis and Treatment (10 papers), Bone Tumor Diagnosis and Treatments (7 papers), Medical Imaging and Pathology Studies (6 papers), Medical Imaging Techniques and Applications (5 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Hematology (340 citations), Rheumatology (413 citations) and Pulmonary and Respiratory Medicine (561 citations). Jun Aoki has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Keigo Endo, Hideomi Watanabe, Tetsuya Shinozaki, Kenji Takagishi, Brian G. Thomas, Lifeng Zhang, Tomio Inoue, Yoshito Tsushima, Nariyuki Oya and Adel Refaat Ahmed. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Blood, Radiology and International Journal 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.