Hiroo Ueno

6.9k citations
80 papers · 3.7k indexed · h-index 32

Impact in

    • Cell Adhesion Molecules Research
    • 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

Hiroo Ueno

78 papers receiving 3.6k citations

Peers

Hiroo Ueno
Comparison fields: 5 of 113
  • Immunology and Allergy 220
  • Molecular Biology 2.3k
  • Cell Biology 511
  • Cancer Research 339
  • Hematology 212
Replace Corrinne G. Lobe with:
Corrinne G. Lobe Canada
B L Hogan United States
Hiromi Yanagisawa United States
Nancy A. Jenkins United States
Carrie J. Shawber United States
Martin Stehling Germany
Glenn L. Radice United States
Yoichi Kato Japan
Gareth J. Inman United Kingdom
Laurence Faivre France
Hiroo Ueno relative to Corrinne G. Lobe Canada Corrinne G. Lobe's profile →
Citations per field
00.5×1.6×
Corrinne G. Lobe · 1×
Citations per year

Countries citing papers authored by Hiroo Ueno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hiroo Ueno Line = papers co-authored together Hiroo Ueno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 202110
4 202019
5 201731
6 201614
7 20158
8 201470
9 201376
10 2012166
11 20111
12 20114
13 2010389
14 200112
15 200049
16 2000114
17 200086
18 199910
19 199767
20 199553

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.

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