Jun Ooehara
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
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- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 1
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 1
- Co-authors
- Hiromitsu Nakauchi (6 shared papers)Hideo Ema (6 shared papers)Yohei Morita (4 shared papers)Ryō Yamamoto (2 shared papers)Sanae Hamanaka (2 shared papers)Masafumi Onodera (2 shared papers)K. Lenhard Rudolph (1 shared paper)Xun Lan (1 shared paper)
- Journals
- Blood (2 papers)Biochemical and Biophysical Research Communications (1 paper)Proceedings of the National Academy of Sciences (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Cell (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Jun Ooehara
8 papers receiving 1.0k citations
Jun Ooehara's Hit Papers
Peers
Comparison fields: 5 of 74
- Hematology 575
- Immunology 452
- Genetics 162
- Molecular Biology 397
- Oncology 136
Countries citing papers authored by Jun Ooehara
This map shows the geographic impact of Jun Ooehara'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 Ooehara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ooehara more than expected).
Fields of papers citing papers by Jun Ooehara
This network shows the impact of papers produced by Jun Ooehara. 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 Ooehara. The network helps show where Jun Ooehara may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ooehara, 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 | Clonal Analysis Unveils Self-Renewing Lineage-Restricted Progenitors Generated Directly from Hematopoietic Stem Cells Hit paper breakdown → | 2013 | 508 |
| 2 | 2018 | 147 | |
| 3 | 2008 | 120 | |
| 4 | 2007 | 114 | |
| 5 | 2007 | 75 | |
| 6 | 2011 | 55 | |
| 7 | 2013 | 22 | |
| 8 | 2019 | 9 |
About Jun Ooehara
Jun Ooehara is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Internal Medicine, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Acute Myeloid Leukemia Research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Animal Genetics and Reproduction (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Hematology (575 citations), Immunology (452 citations), Genetics (162 citations), Molecular Biology (397 citations) and Oncology (136 citations). Jun Ooehara has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hiromitsu Nakauchi, Hideo Ema, Yohei Morita, Ryō Yamamoto, Sanae Hamanaka, Masafumi Onodera, K. Lenhard Rudolph, Xun Lan, Chen‐Yi Lai and Yusuke Nakauchi. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Arteriosclerosis Thrombosis and Vascular Biology and Cell.
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.