Hiroo Ueno
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Molecular Biology top 5%
- Congenital heart defects research
- Pluripotent Stem Cells Research
- Fibroblast Growth Factor Research
- Angiogenesis and VEGF in Cancer
- Developmental Biology and Gene Regulation
Papers in
-
- Cancer-related molecular mechanisms research 5
-
- RNA modifications and cancer 6
- PI3K/AKT/mTOR signaling in cancer 6
- Congenital heart defects research 5
- Co-authors
- Irving L. WeissmanKristy Red‐HorseMark A. KrasnowL T WilliamsHisamaru HiraiYuval RinkevichYoshio YazakiPaul Lindau
- Journals
- Scientific Reports (5 papers)Molecular and Cellular Biology (5 papers)Cancer Science (5 papers)Blood (5 papers)Nature (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroo Ueno
78 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 113
- Immunology and Allergy 220
- Molecular Biology 2.3k
- Cell Biology 511
- Cancer Research 339
- Hematology 212
Countries citing papers authored by Hiroo Ueno
This map shows the geographic impact of Hiroo Ueno'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 Hiroo Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroo Ueno more than expected).
Fields of papers citing papers by Hiroo Ueno
This network shows the impact of papers produced by Hiroo Ueno. 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 Hiroo Ueno. The network helps show where Hiroo Ueno may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroo Ueno, 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 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 19 | |
| 5 | 2017 | 31 | |
| 6 | 2016 | 14 | |
| 7 | 2015 | 8 | |
| 8 | 2014 | 70 | |
| 9 | 2013 | 76 | |
| 10 | 2012 | 166 | |
| 11 | 2011 | 1 | |
| 12 | 2011 | 4 | |
| 13 | 2010 | 389 | |
| 14 | 2001 | 12 | |
| 15 | 2000 | 49 | |
| 16 | 2000 | 114 | |
| 17 | 2000 | 86 | |
| 18 | 1999 | 10 | |
| 19 | 1997 | 67 | |
| 20 | 1995 | 53 |
About Hiroo Ueno
Hiroo Ueno is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Hematology, having authored 80 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Virus-based gene therapy research (7 papers), RNA modifications and cancer (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Congenital heart defects research (5 papers), Neuroblastoma Research and Treatments (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Immunology and Allergy (220 citations), Molecular Biology (2.3k citations), Cell Biology (511 citations), Cancer Research (339 citations) and Hematology (212 citations). Hiroo Ueno has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Irving L. Weissman, Kristy Red‐Horse, Mark A. Krasnow, L T Williams, Hisamaru Hirai, Yuval Rinkevich, Yoshio Yazaki, Paul Lindau, Michael T. Longaker and Hiroaki Honda. Their work appears in journals such as Scientific Reports, Molecular and Cellular Biology, Cancer Science, Blood and Nature.
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.