Atsuko Ito

1.2k total citations
38 papers, 929 citations indexed

About

Atsuko Ito is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Atsuko Ito has authored 38 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Atsuko Ito's work include Glycosylation and Glycoproteins Research (7 papers), Galectins and Cancer Biology (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Atsuko Ito is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Galectins and Cancer Biology (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Atsuko Ito collaborates with scholars based in Japan, United States and Australia. Atsuko Ito's co-authors include Robert S. Haltiwanger, Naoaki Saito, Megumi Takeuchi, Ushio Kikkawa, Chikako Tanaka, Hideyuki Takeuchi, Yoshitaka Ono, A Kose, Koji Igarashi and Kohkichi Hosoda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Atsuko Ito

38 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsuko Ito Japan 16 620 222 95 89 77 38 929
Kohgaku Eguchi Japan 20 440 0.7× 207 0.9× 177 1.9× 122 1.4× 104 1.4× 33 973
Yoshitsugu Saishin Japan 22 749 1.2× 112 0.5× 66 0.7× 73 0.8× 43 0.6× 56 1.8k
Maria Ribecco‐Lutkiewicz Canada 12 639 1.0× 233 1.0× 77 0.8× 50 0.6× 46 0.6× 22 1.1k
Kristina Schachtrup Germany 14 411 0.7× 265 1.2× 64 0.7× 251 2.8× 65 0.8× 18 1.2k
Diego Cotella Italy 19 754 1.2× 122 0.5× 60 0.6× 89 1.0× 45 0.6× 42 1.1k
Mei Zheng South Korea 18 622 1.0× 297 1.3× 149 1.6× 61 0.7× 36 0.5× 49 969
Lisa A. Hazelwood United States 11 414 0.7× 242 1.1× 53 0.6× 71 0.8× 87 1.1× 23 897
Tomohiro Chiyonobu Japan 20 455 0.7× 135 0.6× 81 0.9× 77 0.9× 61 0.8× 56 966
Devon S. Svoboda Canada 9 784 1.3× 120 0.5× 66 0.7× 92 1.0× 50 0.6× 13 1.2k

Countries citing papers authored by Atsuko Ito

Since Specialization
Citations

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

Fields of papers citing papers by Atsuko Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuko Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Ito. A scholar is included among the top collaborators of Atsuko Ito 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 Atsuko Ito. Atsuko Ito 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.
Hao, Huilin, Youxi Yuan, Atsuko Ito, et al.. (2025). FUT10 and FUT11 are protein O-fucosyltransferases that modify protein EMI domains. Nature Chemical Biology. 21(4). 598–610. 9 indexed citations
2.
Komatsu, David E., Christopher J. Percival, Megumi Takeuchi, et al.. (2022). O-fucosylation of thrombospondin type 1 repeats is essential for ECM remodeling and signaling during bone development. Matrix Biology. 107. 77–96. 13 indexed citations
3.
Eletsky, Alexander, Atsuko Ito, Ramón Hurtado‐Guerrero, et al.. (2022). O-fucosylation stabilizes the TSR3 motif in thrombospondin-1 by interacting with nearby amino acids and protecting a disulfide bond. Journal of Biological Chemistry. 298(6). 102047–102047. 8 indexed citations
4.
Kumar, Vivek, Shweta Varshney, Alison V. Nairn, et al.. (2022). Fringe GlcNAc-transferases differentially extend O-fucose on endogenous NOTCH1 in mouse activated T cells. Journal of Biological Chemistry. 298(7). 102064–102064. 15 indexed citations
5.
Ito, Atsuko, et al.. (2022). Cancer-associated Notch receptor variants lead to O-fucosylation defects that deregulate Notch signaling. Journal of Biological Chemistry. 298(12). 102616–102616. 10 indexed citations
6.
Ito, Atsuko, et al.. (2021). POGLUT2 and POGLUT3 O-glucosylate multiple EGF repeats in fibrillin-1, -2, and LTBP1 and promote secretion of fibrillin-1. Journal of Biological Chemistry. 297(3). 101055–101055. 11 indexed citations
7.
Zhang, Ao, Aarya Venkat, Rahil Taujale, et al.. (2021). Peters plus syndrome mutations affect the function and stability of human β1,3-glucosyltransferase. Journal of Biological Chemistry. 297(1). 100843–100843. 8 indexed citations
8.
Kakuda, Shinako, et al.. (2020). Canonical Notch ligands and Fringes have distinct effects on NOTCH1 and NOTCH2. Journal of Biological Chemistry. 295(43). 14710–14722. 48 indexed citations
9.
Watanabe, Kazuya, et al.. (2020). Advanced Age is not a Risk Factor for Mortality in Patients with Bacteremia Caused by Extended-Spectrum β-Lactamase-Producing Organisms: a Multicenter Cohort Study. Japanese Journal of Infectious Diseases. 73(4). 288–292. 4 indexed citations
10.
Pandey, Ashutosh, et al.. (2019). Glycosylation of Specific Notch EGF Repeats by O-Fut1 and Fringe Regulates Notch Signaling in Drosophila. Cell Reports. 29(7). 2054–2066.e6. 24 indexed citations
11.
Takeuchi, Hideyuki, Hongjun Yu, Huilin Hao, et al.. (2017). O-Glycosylation modulates the stability of epidermal growth factor-like repeats and thereby regulates Notch trafficking. Journal of Biological Chemistry. 292(38). 15964–15973. 84 indexed citations
12.
Ito, Atsuko, Takashi Yamada, Yoh Tamaki, et al.. (2011). Effects of coenzyme Q10 on salivary secretion. Clinical Biochemistry. 44(8-9). 669–674. 16 indexed citations
13.
Ito, Atsuko, et al.. (2010). Correlation Between Mercury Concentrations in Hair and Dental Amalgam Fillings. 7(3). 14–17. 2 indexed citations
14.
Ueno, Kosei, et al.. (2007). Oral information masking considering room environmental condition Part 2: Subjective assessment for "masking efficiency and annoyance". 1940–1949. 2 indexed citations
15.
16.
Sone, Shusuke, Fumikazu Sakai, Shodayu Takashima, et al.. (1997). Factors Affecting the Radiologic Appearance of Peripheral Bronchogenic Carcinomas. Journal of Thoracic Imaging. 12(3). 159–172. 26 indexed citations
17.
Sasaki, Hidetada, et al.. (1994). Effects of tranexamic acid on neutrophil chemotaxis, phagocytosis and reactive oxygen species generation in vitro. 22(3). 325–331. 1 indexed citations
18.
Ito, Atsuko, et al.. (1990). Electron microscopic localization of γ- and βII-subspecies of protein kinase C in rat hippocampus. Brain Research. 518(1-2). 209–217. 85 indexed citations
19.
Tanaka, Chikako, Naoaki Saito, Atsuko Ito, et al.. (1988). Possible Roles of Protein Kinase C in Neurotransmission. Advances in experimental medicine and biology. 236. 277–285. 3 indexed citations
20.
Ito, Atsuko. (1981). Relation Between Deposit of Carbonic Dust and Contents of Metallic Substances on Human Lungs. Journal of Japan Society of Air Pollution. 16(3). 183–186. 1 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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