Noriko Ueno

1.6k total citations
23 papers, 1.2k citations indexed

About

Noriko Ueno is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Noriko Ueno has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Noriko Ueno's work include Molecular Biology Techniques and Applications (5 papers), Cancer-related molecular mechanisms research (5 papers) and Ferroptosis and cancer prognosis (4 papers). Noriko Ueno is often cited by papers focused on Molecular Biology Techniques and Applications (5 papers), Cancer-related molecular mechanisms research (5 papers) and Ferroptosis and cancer prognosis (4 papers). Noriko Ueno collaborates with scholars based in Japan, United Kingdom and United States. Noriko Ueno's co-authors include Kikuya Kato, Makoto Murakami, Ichiro Kudo, Ryo Matoba, Kyoko Iwao‐Koizumi, Akiko Ando, Shinzaburo Noguchi, Seung Jin Kim, Yasuo Miyoshi and Toshihiro Tanioka and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Noriko Ueno

22 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Noriko Ueno Japan 16 623 269 184 180 177 23 1.2k
Laura M. López‐Sánchez Spain 19 489 0.8× 188 0.7× 46 0.3× 127 0.7× 187 1.1× 34 1.1k
Marilyne Lebret France 14 836 1.3× 211 0.8× 202 1.1× 161 0.9× 93 0.5× 18 1.4k
Keyvan Mahboubi United States 15 700 1.1× 173 0.6× 89 0.5× 140 0.8× 284 1.6× 22 1.3k
Peppi Prasit United States 21 592 1.0× 150 0.6× 189 1.0× 69 0.4× 126 0.7× 44 1.2k
Maria Lauda Tomasi United States 27 1.2k 1.9× 387 1.4× 52 0.3× 123 0.7× 302 1.7× 53 1.6k
Ruud Out Netherlands 26 926 1.5× 381 1.4× 46 0.3× 144 0.8× 509 2.9× 37 2.2k
Hideki Kamitani Japan 22 630 1.0× 213 0.8× 425 2.3× 116 0.6× 198 1.1× 64 1.5k
F. Gregory Buchanan United States 17 877 1.4× 366 1.4× 783 4.3× 165 0.9× 366 2.1× 19 1.8k
Qiang Wen China 19 493 0.8× 137 0.5× 73 0.4× 65 0.4× 230 1.3× 61 1.1k
Karen E. Swales United Kingdom 15 418 0.7× 104 0.4× 52 0.3× 91 0.5× 310 1.8× 29 919

Countries citing papers authored by Noriko Ueno

Since Specialization
Citations

This map shows the geographic impact of Noriko 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 Noriko Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriko Ueno more than expected).

Fields of papers citing papers by Noriko Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noriko 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 Noriko Ueno. The network helps show where Noriko Ueno may publish in the future.

Co-authorship network of co-authors of Noriko Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Ueno. A scholar is included among the top collaborators of Noriko 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 Noriko Ueno. Noriko Ueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kofuji, Satoshi, Hirotaka Kimura, Hiroki Nakanishi, et al.. (2015). INPP4B Is a PtdIns(3,4,5)P3 Phosphatase That Can Act as a Tumor Suppressor. Cancer Discovery. 5(7). 730–739. 57 indexed citations
3.
Maekawa, Keiko, Akiyoshi Hirayama, Yuko Iwata, et al.. (2013). Global metabolomic analysis of heart tissue in a hamster model for dilated cardiomyopathy. Journal of Molecular and Cellular Cardiology. 59. 76–85. 55 indexed citations
4.
5.
Shirahata, Mitsuaki, Kyoko Iwao‐Koizumi, Shigeyuki Oba, et al.. (2008). Using gene expression profiling to identify a prognostic molecular spectrum in gliomas. Cancer Research. 68. 4425–4425. 1 indexed citations
6.
Shirahata, Mitsuaki, Shigeyuki Oba, Kyoko Iwao‐Koizumi, et al.. (2008). Using gene expression profiling to identify a prognostic molecular spectrum in gliomas. Cancer Science. 100(1). 165–172. 25 indexed citations
7.
Ueno, Noriko, et al.. (2008). A negative regulator of delayed prostaglandin D2 production in mouse mast cells. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1781(8). 415–421. 6 indexed citations
8.
Shirahata, Mitsuaki, Kyoko Iwao‐Koizumi, Sakae Saito, et al.. (2007). Gene Expression-Based Molecular Diagnostic System for Malignant Gliomas Is Superior to Histological Diagnosis. Clinical Cancer Research. 13(24). 7341–7356. 60 indexed citations
9.
Motoori, Masaaki, Ichiro Takemasa, Yuichiro� Doki, et al.. (2006). Prediction of peritoneal metastasis in advanced gastric cancer by gene expression profiling of the primary site. European Journal of Cancer. 42(12). 1897–1903. 11 indexed citations
10.
Ueno, Noriko, et al.. (2005). Coupling between cyclooxygenases and terminal prostanoid synthases. Biochemical and Biophysical Research Communications. 338(1). 70–76. 95 indexed citations
11.
Iwao‐Koizumi, Kyoko, Ryo Matoba, Noriko Ueno, et al.. (2005). Prediction of Docetaxel Response in Human Breast Cancer by Gene Expression Profiling. Journal of Clinical Oncology. 23(3). 422–431. 242 indexed citations
12.
Motoori, Masaaki, Ichiro Takemasa, Masahiko Yano, et al.. (2005). Prediction of recurrence in advanced gastric cancer patients after curative resection by gene expression profiling. International Journal of Cancer. 114(6). 963–968. 32 indexed citations
13.
Kurokawa, Yukinori, Ryo Matoba, Ichiro Takemasa, et al.. (2004). Molecular-based prediction of early recurrence in hepatocellular carcinoma. Journal of Hepatology. 41(2). 284–291. 89 indexed citations
14.
Kurokawa, Yukinori, Ryo Matoba, Ichiro Takemasa, et al.. (2003). Molecular features of non-B, non-C hepatocellular carcinoma: a PCR-array gene expression profiling study. Journal of Hepatology. 39(6). 1004–1012. 38 indexed citations
15.
Takemasa, Ichiro, Shigeyuki Oba, Ryo Matoba, et al.. (2003). Identification of expressed genes linked to malignancy of human colorectal carcinoma by parametric clustering of quantitative expression data. Genome biology. 4(3). R21–R21. 57 indexed citations
16.
Ueno, Noriko, Daisuke Kamei, Toshihiro Tanioka, et al.. (2003). Coupling between cyclooxygenases and prostaglandin F2α synthase. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1633(2). 96–105. 13 indexed citations
17.
Saito, Sakae, Ryo Matoba, Noriko Ueno, Kenichi Matsubara, & Kikuya Kato. (2002). Comparison of gene expression profiling during postnatal development of mouse dentate gyrus and cerebellum. Physiological Genomics. 8(2). 131–137. 12 indexed citations
18.
Ueno, Noriko, Makoto Murakami, Toshihiro Tanioka, et al.. (2001). Coupling between Cyclooxygenase, Terminal Prostanoid Synthase, and Phospholipase A2. Journal of Biological Chemistry. 276(37). 34918–34927. 164 indexed citations
19.
Ueno, Noriko, Makoto Murakami, & Ichiro Kudo. (2000). Functional crosstalk between phospholipase D2 and signaling phospholipase A2/cyclooxygenase‐2‐mediated prostaglandin biosynthetic pathways. FEBS Letters. 475(3). 242–246. 19 indexed citations
20.
Matoba, Ryo, et al.. (2000). Gene expression profiling of mouse postnatal cerebellar development. Physiological Genomics. 4(2). 155–164. 23 indexed citations

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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