Noriko Echigo

1.3k total citations
17 papers, 1.1k citations indexed

About

Noriko Echigo is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Noriko Echigo has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Noriko Echigo's work include Tea Polyphenols and Effects (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Influenza Virus Research Studies (3 papers). Noriko Echigo is often cited by papers focused on Tea Polyphenols and Effects (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Influenza Virus Research Studies (3 papers). Noriko Echigo collaborates with scholars based in Japan, United States and South Korea. Noriko Echigo's co-authors include Yoshinori Moriyama, Takashi Kuzuhara, Hiroshi Omote, Takaaki Miyaji, Masato Otsuka, Akitsugu Yamamoto, Narinobu Juge, Keisuke Sawada, Dai Hatakeyama and Hirota Fujiki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Noriko Echigo

17 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 Echigo Japan 14 482 227 195 187 102 17 1.1k
Yuling Chi United States 19 691 1.4× 207 0.9× 110 0.6× 126 0.7× 80 0.8× 35 1.7k
Akiyuki Taruno Japan 19 644 1.3× 209 0.9× 146 0.7× 95 0.5× 67 0.7× 38 1.7k
Gustavo J.S. Pereira Brazil 21 497 1.0× 140 0.6× 212 1.1× 389 2.1× 68 0.7× 63 1.4k
Alessandra Gamberucci Italy 27 807 1.7× 181 0.8× 146 0.7× 123 0.7× 210 2.1× 63 1.7k
Pramod Sukumaran United States 20 626 1.3× 203 0.9× 116 0.6× 155 0.8× 110 1.1× 40 1.3k
Sang Yoon Lee South Korea 20 780 1.6× 185 0.8× 133 0.7× 92 0.5× 131 1.3× 44 1.6k
Rodrigo Portes Ureshino Brazil 22 401 0.8× 190 0.8× 194 1.0× 323 1.7× 64 0.6× 44 1.3k
Akinori Hisatsune Japan 24 819 1.7× 199 0.9× 49 0.3× 258 1.4× 250 2.5× 73 1.7k
Yingmin Zhu United States 15 569 1.2× 243 1.1× 615 3.2× 104 0.6× 37 0.4× 22 1.5k
Jacqueline Naylor United Kingdom 20 769 1.6× 392 1.7× 56 0.3× 166 0.9× 88 0.9× 34 1.6k

Countries citing papers authored by Noriko Echigo

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Echigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Echigo

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

All Works

17 of 17 papers shown
1.
Hiasa, Miki, et al.. (2014). Suppression of increased blood glucose levels in mice by Awa-ban tea following oral administration of mono- and disaccharides. Journal of Functional Foods. 8. 188–192. 8 indexed citations
2.
Shoji, Masaki, Etsuhisa Takahashi, Dai Hatakeyama, et al.. (2013). Anti-Influenza Activity of C60 Fullerene Derivatives. PLoS ONE. 8(6). e66337–e66337. 63 indexed citations
3.
Hiasa, Miki, Tomoyuki Esumi, Hiroshi Akita, et al.. (2013). Identification and purification of resorcinol, an antioxidant specific to Awa-ban (pickled and anaerobically fermented) tea. Food Research International. 54(1). 72–80. 19 indexed citations
4.
Shoji, Masaki, Etsuhisa Takahashi, Dai Hatakeyama, et al.. (2013). Correction: Anti-Influenza Activity of C60Fullerene Derivatives. PLoS ONE. 8(11). 13 indexed citations
5.
Murakami, Kouki, Yasuyuki Gomi, Toshihiro Hashimoto, et al.. (2011). Anti-Influenza Activity of Marchantins, Macrocyclic Bisbibenzyls Contained in Liverworts. PLoS ONE. 6(5). e19825–e19825. 73 indexed citations
6.
Saha, Achinto, Takashi Kuzuhara, Noriko Echigo, Masami Suganuma, & Hirota Fujiki. (2010). New Role of (−)-Epicatechin in Enhancing the Induction of Growth Inhibition and Apoptosis in Human Lung Cancer Cells by Curcumin. Cancer Prevention Research. 3(8). 953–962. 60 indexed citations
7.
Kimura, Yasuaki, Kenzo Yamatsugu, Motomu Kanai, et al.. (2010). Design and Synthesis of Resin-Conjugated Tamiflu Analogs for Affinity Chromatography. Bulletin of the Korean Chemical Society. 31(3). 588–594. 2 indexed citations
8.
Saha, Achinto, Takashi Kuzuhara, Noriko Echigo, et al.. (2010). Apoptosis of Human Lung Cancer Cells by Curcumin Mediated through Up-Regulation of "Growth Arrest and DNA Damage Inducible Genes 45 and 153". Biological and Pharmaceutical Bulletin. 33(8). 1291–1299. 61 indexed citations
9.
Kuzuhara, Takashi, et al.. (2009). Structural Basis of the Influenza A Virus RNA Polymerase PB2 RNA-binding Domain Containing the Pathogenicity-determinant Lysine 627 Residue. Journal of Biological Chemistry. 284(11). 6855–6860. 82 indexed citations
10.
Kuzuhara, Takashi, et al.. (2009). Green tea catechins inhibit the endonuclease activity of influenza A virus RNA polymerase. PLoS Currents. 1. RRN1052–RRN1052. 98 indexed citations
11.
Kimura, Yasuaki, Kenzo Yamatsugu, Motomu Kanai, et al.. (2009). Design and synthesis of immobilized Tamiflu analog on resin for affinity chromatography. Tetrahedron Letters. 50(26). 3205–3208. 13 indexed citations
12.
Miyaji, Takaaki, et al.. (2008). Identification of a vesicular aspartate transporter. Proceedings of the National Academy of Sciences. 105(33). 11720–11724. 97 indexed citations
13.
Sawada, Keisuke, Noriko Echigo, Narinobu Juge, et al.. (2008). Identification of a vesicular nucleotide transporter. Proceedings of the National Academy of Sciences. 105(15). 5683–5686. 343 indexed citations
14.
Morimoto, Riyo, Shunsuke Uehara, Shouki Yatsushiro, et al.. (2006). Secretion of L‐glutamate from osteoclasts through transcytosis. The EMBO Journal. 25(18). 4175–4186. 73 indexed citations
15.
Echigo, Noriko & Yoshinori Moriyama. (2004). Vesicular inhibitory amino acid transporter is expressed in γ-aminobutyric acid (GABA)-containing astrocytes in rat pineal glands. Neuroscience Letters. 367(1). 79–84. 11 indexed citations
16.
Muroyama, Akiko, Shunsuke Uehara, Shouki Yatsushiro, et al.. (2004). A Novel Variant of Ionotropic Glutamate Receptor Regulates Somatostatin Secretion From δ-Cells of Islets of Langerhans. Diabetes. 53(7). 1743–1753. 37 indexed citations
17.
Uehara, Shunsuke, Akiko Muroyama, Noriko Echigo, et al.. (2004). Metabotropic Glutamate Receptor Type 4 Is Involved in Autoinhibitory Cascade for Glucagon Secretion by α-Cells of Islet of Langerhans. Diabetes. 53(4). 998–1006. 67 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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