Hideyuki Oguro
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 8
- Acute Myeloid Leukemia Research 6
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Immunology top 5%
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 15
- Cancer-related gene regulation 5
- Pluripotent Stem Cells Research 4
- Single-cell and spatial transcriptomics 2
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- Neonatal Respiratory Health Research 4
- Co-authors
- Sean J. MorrisonAtsushi IwamaLei DingHiromitsu NakauchiYohei MoritaTakehiko KamijoMaarten van LohuizenZhiyu Zhao
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Hideyuki Oguro
28 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Hematology 1.2k
- Genetics 467
- Immunology 785
- Developmental Neuroscience 97
- Molecular Biology 1.4k
Countries citing papers authored by Hideyuki Oguro
This map shows the geographic impact of Hideyuki Oguro'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 Hideyuki Oguro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Oguro more than expected).
Fields of papers citing papers by Hideyuki Oguro
This network shows the impact of papers produced by Hideyuki Oguro. 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 Hideyuki Oguro. The network helps show where Hideyuki Oguro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideyuki Oguro, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 47 | |
| 6 | 2017 | 39 | |
| 7 | Deep imaging of bone marrow shows non-dividing stem cells are mainly perisinusoidalbreakdown → | 2015 | 518 |
| 8 | 2014 | 299 | |
| 9 | 2013 | 23 | |
| 10 | 2012 | 39 | |
| 11 | 2011 | 54 | |
| 12 | 2011 | 32 | |
| 13 | 2010 | 47 | |
| 14 | 2010 | 12 | |
| 15 | 2010 | 61 | |
| 16 | 2010 | 150 | |
| 17 | 2006 | 80 | |
| 18 | 2006 | 4 | |
| 19 | 2005 | 33 | |
| 20 | 2004 | 396 |
About Hideyuki Oguro
Hideyuki Oguro is a scholar working on Hematology, Developmental Neuroscience and Genetics, having authored 30 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (6 papers), Cancer-related gene regulation (5 papers), Pluripotent Stem Cells Research (4 papers), Neonatal Respiratory Health Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (467 citations) and Immunology (785 citations). Hideyuki Oguro has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Sean J. Morrison, Atsushi Iwama, Lei Ding, Hiromitsu Nakauchi, Yohei Morita, Takehiko Kamijo, Maarten van Lohuizen, Zhiyu Zhao, Melih Acar and Katherine Luby‐Phelps. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Nature, Experimental Hematology 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.