Yukiko Noda

488 total citations
10 papers, 405 citations indexed

About

Yukiko Noda is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Yukiko Noda has authored 10 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Cell Biology. Recurrent topics in Yukiko Noda's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Yukiko Noda is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Yukiko Noda collaborates with scholars based in Japan and United States. Yukiko Noda's co-authors include Hideki Sumimoto, Takashi Ito, Ryu Takeya, Shigeo Ohno, Seiji Naito, Fuyuhiko Inagaki, Sosuke Yoshinaga, Motoyuki Kohjima, Naoaki Saito and Kenji Ogura and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Yukiko Noda

7 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yukiko Noda Japan 7 280 140 68 43 42 10 405
Laura Parente United States 7 177 0.6× 98 0.7× 51 0.8× 50 1.2× 22 0.5× 9 326
Lucia Bertolaso Italy 13 368 1.3× 61 0.4× 93 1.4× 46 1.1× 87 2.1× 20 528
Sindhu Saraswathy United States 16 260 0.9× 82 0.6× 111 1.6× 60 1.4× 19 0.5× 36 666
Hiroko Hirose Japan 8 252 0.9× 181 1.3× 24 0.4× 33 0.8× 31 0.7× 18 426
Barbara van Kollenburg Netherlands 7 611 2.2× 134 1.0× 79 1.2× 18 0.4× 17 0.4× 7 673
Kiran Kodali United States 10 272 1.0× 43 0.3× 37 0.5× 47 1.1× 28 0.7× 12 399
Mario Buono United Kingdom 10 178 0.6× 90 0.6× 73 1.1× 67 1.6× 28 0.7× 14 388
Alessia Mazzola Italy 13 266 0.9× 32 0.2× 37 0.5× 45 1.0× 62 1.5× 20 440
Lanjun Xu China 7 249 0.9× 56 0.4× 39 0.6× 36 0.8× 68 1.6× 9 366
Dalila Bevilacqua United Kingdom 8 300 1.1× 81 0.6× 111 1.6× 25 0.6× 22 0.5× 8 433

Countries citing papers authored by Yukiko Noda

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukiko Noda

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

All Works

10 of 10 papers shown
1.
Ushio, Soichiro, et al.. (2021). Bumetanide prevents diazepam-modified anxiety-like behavior in lipopolysaccharide-treated mice. European Journal of Pharmacology. 904. 174195–174195. 7 indexed citations
2.
Noda, Yukiko, et al.. (2008). Calcineurin-inhibitor-induced pain syndrome after bone marrow transplantation. Journal of Anesthesia. 22(1). 61–63. 28 indexed citations
3.
Ueyama, Takehiko, Michelle R. Lennartz, Yukiko Noda, et al.. (2004). Superoxide Production at Phagosomal Cup/Phagosome through βI Protein Kinase C during FcγR-Mediated Phagocytosis in Microglia. The Journal of Immunology. 173(7). 4582–4589. 55 indexed citations
4.
Hirano, Yoshinori, Sosuke Yoshinaga, Kenji Ogura, et al.. (2004). Solution Structure of Atypical Protein Kinase C PB1 Domain and Its Mode of Interaction with ZIP/p62 and MEK5. Journal of Biological Chemistry. 279(30). 31883–31890. 67 indexed citations
5.
Noda, Yukiko, Motoyuki Kohjima, Tomoko Izaki, et al.. (2003). Molecular Recognition in Dimerization between PB1 Domains. Journal of Biological Chemistry. 278(44). 43516–43524. 79 indexed citations
6.
Kohjima, Motoyuki, Yukiko Noda, Ryu Takeya, et al.. (2002). PAR3β, a novel homologue of the cell polarity protein PAR3, localizes to tight junctions. Biochemical and Biophysical Research Communications. 299(4). 641–646. 47 indexed citations
7.
Noda, Yukiko, Ryu Takeya, Shigeo Ohno, et al.. (2001). Human homologues of the Caenorhabditis elegans cell polarity protein PAR6 as an adaptor that links the small GTPases Rac and Cdc42 to atypical protein kinase C. Genes to Cells. 6(2). 107–119. 122 indexed citations
8.
Takahashi, Shosuke, et al.. (1999). Reduction of regional cerebral oxygen saturation coincidental with a perioperative focal motor seizure. Journal of Anesthesia. 13(1). 48–52.
9.
Okamoto, Hirotsugu, Kimiko Fukui, Toshihiro Kawasaki, et al.. (1999). Jugular venous oxygen saturation (Sjo2) monitoring in a patient with fulminant hepatic failure. Journal of Anesthesia. 13(1). 40–43.
10.
Noda, Yukiko, et al.. (1990). Two cases of chronic sclerosing submandibular sialadenitis (so-called Kuettner tomor).. Japanese Journal of Oral & Maxillofacial Surgery. 36(5). 1353–1359.

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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