Hiroo Ueno

1.2k total citations · 1 hit paper
10 papers, 921 citations indexed

About

Hiroo Ueno is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Hiroo Ueno has authored 10 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Hiroo Ueno's work include Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (2 papers) and Genetic factors in colorectal cancer (2 papers). Hiroo Ueno is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Cancer Genomics and Diagnostics (2 papers) and Genetic factors in colorectal cancer (2 papers). Hiroo Ueno collaborates with scholars based in Japan, United States and India. Hiroo Ueno's co-authors include Irving L. Weissman, Akifumi Ootani, Xingnan Li, Eugenio Sangiorgi, Calvin J. Kuo, Shuji Toda, Kazuma Fujimoto, Hajime Sugihara, Mario R. Capecchi and Toshihiro Tanaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Hiroo Ueno

10 papers receiving 909 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sustained in vitro intestinal epithelial culture within a Wnt-dependent stem cell niche

2009 684 citations Akifumi Ootani, Xingnan Li et al. Nature Medicine profile →

Peers

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-authorship network of co-authors of Hiroo Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroo Ueno. A scholar is included among the top collaborators of Hiroo Ueno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiroo Ueno. Hiroo Ueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Cellular basis of omentum activation and expansion revealed by single-cell RNA sequencing using a parabiosis model 2021 ·Scientific Reports ·(unknown), Keiki Kumano, (unknown), Hiroo Ueno	5
2	Intestinal cancer stem cells marked by Bmi1 or Lgr5 expression contribute to tumor propagation via clonal expansion 2017 ·Scientific Reports ·Hirotsugu Yanai, Naho Atsumi, Toshihiro Tanaka, Naohiro Nakamura, Yoshihiro Komai, (unknown), (unknown), (unknown), (unknown), (unknown), Yoko Tokuyama, (unknown), Shuichi Ohe, Hiroko Hisha, Naoko Yoshida, Keiki Kumano, Masanori Kon, Hiroo Ueno	29
3	Organoid Culture of Lingual Epithelial Cells in a Three-Dimensional Matrix 2016 ·Methods in molecular biology ·Hiroko Hisha, Hiroo Ueno	6
4	Multicolor lineage tracing methods and intestinal tumors 2013 ·Journal of Gastroenterology ·Hirotsugu Yanai, Toshihiro Tanaka, Hiroo Ueno	13
5	Establishment of a Novel Lingual Organoid Culture System: Generation of Organoids Having Mature Keratinized Epithelium from Adult Epithelial Stem Cells 2013 ·Scientific Reports ·Hiroko Hisha, Toshihiro Tanaka, (unknown), Yoko Tokuyama, Yoshihiro Komai, Shuichi Ohe, Hirotsugu Yanai, (unknown), Hiroo Ueno	69
6	Sustained in vitro intestinal epithelial culture within a Wnt-dependent stem cell niche breakdown → 2009 ·Nature Medicine ·Akifumi Ootani, Xingnan Li, Eugenio Sangiorgi, (unknown), Hiroo Ueno, Shuji Toda, Hajime Sugihara, Kazuma Fujimoto, Irving L. Weissman, Mario R. Capecchi, Calvin J. Kuo	684
7	Two-step oligoclonal development of male germ cells 2008 ·Proceedings of the National Academy of Sciences ·Hiroo Ueno, Brit B. Turnbull, Irving L. Weissman	40
8	Growth and Survival Signals transmitted via Two Distinct NPXY Motifs within Leukocyte Tyrosine Kinase, an Insulin Receptor-related Tyrosine Kinase 1996 ·Journal of Biological Chemistry ·Hiroo Ueno, Ko Sasaki, H Kozutsumi, Kiyoshi Miyagawa, Kinuko Mitani, Yoshio Yazaki, Hisamaru Hirai	18
9	An Epidermal Growth Factor Receptor-Leukocyte Tyrosine Kinase Chimeric Receptor Generates Ligand-dependent Growth Signals through the Ras Signaling Pathway 1995 ·Journal of Biological Chemistry ·Hiroo Ueno, Naoto Hirano, H Kozutsumi, Ko Sasaki, Tomoyuki Tanaka, Yoshio Yazaki, Hisamaru Hirai	32
10	CELL‐MEDIATED IMMUNITY INVOLVED IN AUTOCHTHONOUS TUMOR REJECTION IN RATS* 1976 ·Annals of the New York Academy of Sciences ·Kokichi Kikuchi, Yoshifumi Ishii, Hiroo Ueno, Hirofumi Koshiba	25

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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