Katsuhisa Noda

2.3k total citations
33 papers, 1.5k citations indexed

About

Katsuhisa Noda is a scholar working on Molecular Biology, Immunology and Hepatology. According to data from OpenAlex, Katsuhisa Noda has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Immunology and 7 papers in Hepatology. Recurrent topics in Katsuhisa Noda's work include Glycosylation and Glycoproteins Research (20 papers), Galectins and Cancer Biology (11 papers) and Carbohydrate Chemistry and Synthesis (6 papers). Katsuhisa Noda is often cited by papers focused on Glycosylation and Glycoproteins Research (20 papers), Galectins and Cancer Biology (11 papers) and Carbohydrate Chemistry and Synthesis (6 papers). Katsuhisa Noda collaborates with scholars based in Japan, Sweden and Italy. Katsuhisa Noda's co-authors include Eiji Miyoshi, Naoyuki Taniguchi, Norio Hayashi, Harumasa Yoshihara, Yoshitaka Ikeda, Nariaki Matsuura∥, Naofumi Uozumi, Congxiao Gao, Yasuhiro Ito and Takatoshi Kitada and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Development.

In The Last Decade

Katsuhisa Noda

33 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katsuhisa Noda Japan 22 1.2k 614 306 264 184 33 1.5k
Jeong Heon Ko South Korea 20 1.2k 1.0× 589 1.0× 192 0.6× 371 1.4× 53 0.3× 41 1.6k
Mengjun Wang United States 20 900 0.8× 259 0.4× 125 0.4× 236 0.9× 125 0.7× 52 1.4k
Masaki Ri Japan 24 1000 0.8× 446 0.7× 110 0.4× 576 2.2× 89 0.5× 117 1.9k
Naofumi Uozumi Japan 17 973 0.8× 558 0.9× 345 1.1× 88 0.3× 47 0.3× 23 1.1k
Marielle Fournel Canada 22 1.3k 1.1× 576 0.9× 244 0.8× 507 1.9× 26 0.1× 33 1.9k
Kimberly A. Lee United States 15 1.8k 1.5× 127 0.2× 68 0.2× 403 1.5× 82 0.4× 19 2.4k
Robert Kubiak Poland 18 553 0.5× 144 0.2× 70 0.2× 206 0.8× 54 0.3× 77 1.1k
Jeffry R. Cook United States 21 1.4k 1.2× 586 1.0× 40 0.1× 561 2.1× 42 0.2× 39 2.2k
Suzanne Laferté Canada 17 1.6k 1.3× 782 1.3× 431 1.4× 275 1.0× 12 0.1× 32 2.0k
Martina Bazzaro United States 20 958 0.8× 168 0.3× 86 0.3× 388 1.5× 57 0.3× 47 1.4k

Countries citing papers authored by Katsuhisa Noda

Since Specialization
Citations

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

Fields of papers citing papers by Katsuhisa Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuhisa Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhisa Noda. A scholar is included among the top collaborators of Katsuhisa 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 Katsuhisa Noda. Katsuhisa Noda 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.
Noda, Katsuhisa, Takatoshi Kitada, Yasumoto Suzuki, et al.. (2017). A novel physical colonoscopy simulator based on analysis of data from computed tomography colonography. Surgery Today. 47(9). 1153–1162. 6 indexed citations
2.
Mehta, Anand S., Pamela A. Norton, Hongyan Liang, et al.. (2012). Increased Levels of Tetra-antennary N -Linked Glycan but Not Core Fucosylation Are Associated with Hepatocellular Carcinoma Tissue. Cancer Epidemiology Biomarkers & Prevention. 21(6). 925–933. 56 indexed citations
3.
Takahashi, Motoko, Eiji Miyoshi, Shunichi Yokoe, et al.. (2009). Core fucosylation of E‐cadherin enhances cell–cell adhesion in human colon carcinoma WiDr cells. Cancer Science. 100(5). 888–895. 104 indexed citations
4.
Moriwaki, Kenta, Naofumi Uozumi, Katsuhisa Noda, et al.. (2009). High levels of E4-PHA-reactive oligosaccharides: potential as marker for cells with characteristics of hepatic progenitor cells. Glycoconjugate Journal. 26(9). 1213–1223. 10 indexed citations
5.
Moriwaki, Kenta, Katsuhisa Noda, Yoichi Furukawa, et al.. (2009). Deficiency of GMDS Leads to Escape from NK Cell-Mediated Tumor Surveillance Through Modulation of TRAIL Signaling. Gastroenterology. 137(1). 188–198.e2. 82 indexed citations
6.
7.
Yamanaka, K, Yasuhiro Ito, Noriko Okuyama, et al.. (2007). Immunohistochemical Study of Glypican 3 in Thyroid Cancer. Oncology. 73(5-6). 389–394. 29 indexed citations
8.
Moriwaki, Kenta, Katsuhisa Noda, Takatoshi Nakagawa, et al.. (2007). A High Expression of GDP-Fucose Transporter in Hepatocellular Carcinoma is a Key Factor for Increases in Fucosylation. Glycobiology. 17(12). 1311–1320. 68 indexed citations
9.
Sturla, Laura, Floriana Fruscione, Katsuhisa Noda, et al.. (2005). Core fucosylation of N-linked glycans in leukocyte adhesion deficiency/congenital disorder of glycosylation IIc fibroblasts. Glycobiology. 15(10). 924–934. 21 indexed citations
10.
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12.
Noda, Katsuhisa, Eiji Miyoshi, Susumu Nakahara, et al.. (2002). An enzymatic method of analysis for GDP-l-fucose in biological samples, involving high-performance liquid chromatography. Analytical Biochemistry. 310(1). 100–106. 10 indexed citations
13.
Kitada, Takatoshi, Eiji Miyoshi, Katsuhisa Noda, et al.. (2001). The Addition of Bisecting N-Acetylglucosamine Residues to E-cadherin Down-regulates the Tyrosine Phosphorylation of β-Catenin. Journal of Biological Chemistry. 276(1). 475–480. 81 indexed citations
14.
Ito, Yasuhiro, Eiji Miyoshi, Masato Sakon, et al.. (2001). Elevated expression of UDP-N-acetylglucosamine: αmannoside β1,6N-acetylglucosaminyltransferase is an early event in hepatocarcinogenesis. International Journal of Cancer. 91(5). 631–637. 52 indexed citations
15.
Ito, Yasuhiro, Hisaaki Kawakatsu, Tsutomu Takeda, et al.. (2001). Activation of c-Src gene product in hepatocellular carcinoma is highly correlated with the indices of early stage phenotype. Journal of Hepatology. 35(1). 68–73. 43 indexed citations
16.
Ito, Yasuhiro, Nariaki Matsuura∥, Masato Sakon, et al.. (1999). Expression and prognostic roles of the G1-S modulators in hepatocellular carcinoma: p27 independently predicts the recurrence. Hepatology. 30(1). 90–99. 135 indexed citations
17.
Yoshihara, Harumasa, Katsuhisa Noda, & Takenobu Kamada. (1998). Interrelationship between Alcohol Intake, Hepatitis C, Liver Cirrhosis, and Hepatocellular Carcinoma. Recent developments in alcoholism. 14. 457–469. 16 indexed citations
18.
Noda, Katsuhisa, Eiji Miyoshi, Naofumi Uozumi, et al.. (1998). Gene expression of α1-6 fucosyltransferase in human hepatoma tissues: A possible implication for increased fucosylation of α-fetoprotein. Hepatology. 28(4). 944–952. 120 indexed citations
19.
Noda, Katsuhisa, Harumasa Yoshihara, Kunio Suzuki, et al.. (1996). Progression of Type C Chronic Hepatitis to Liver Cirrhosis and Hepatocellular Carcinoma—Its Relationship to Alcohol Drinking and the Age of Transfusion. Alcoholism Clinical and Experimental Research. 20(s1). 95A–100A. 61 indexed citations
20.
Noda, Katsuhisa, et al.. (1996). A prospective study of hepatitis C virus infection after needlestick accidents. Liver International. 16(5). 331–334. 30 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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