Hideyuki Takeuchi

4.5k total citations · 1 hit paper
87 papers, 3.2k citations indexed

About

Hideyuki Takeuchi is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Hideyuki Takeuchi has authored 87 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 25 papers in Organic Chemistry and 20 papers in Immunology. Recurrent topics in Hideyuki Takeuchi's work include Glycosylation and Glycoproteins Research (39 papers), Carbohydrate Chemistry and Synthesis (24 papers) and Developmental Biology and Gene Regulation (19 papers). Hideyuki Takeuchi is often cited by papers focused on Glycosylation and Glycoproteins Research (39 papers), Carbohydrate Chemistry and Synthesis (24 papers) and Developmental Biology and Gene Regulation (19 papers). Hideyuki Takeuchi collaborates with scholars based in Japan, United States and Denmark. Hideyuki Takeuchi's co-authors include Robert S. Haltiwanger, Kenneth D. Irvine, Nadia A. Rana, Kentaro Kato, Hamed Jafar‐Nejad, Hiroyuki Ishikawa, Tatsuro Irimura, Eiji Yamamoto, Masanori Yamasaki and Kenji Yano and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hideyuki Takeuchi

83 papers receiving 3.2k citations

Hit Papers

Genome-wide association study using whole-genome sequenci... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideyuki Takeuchi Japan 30 2.4k 626 585 488 484 87 3.2k
Maria A. Kukuruzinska United States 30 1.9k 0.8× 358 0.6× 239 0.4× 220 0.5× 161 0.3× 64 2.5k
Martin D. Snider United States 29 2.7k 1.1× 348 0.6× 337 0.6× 229 0.5× 159 0.3× 49 3.5k
Harald S. Conradt Germany 37 2.3k 1.0× 533 0.9× 463 0.8× 323 0.7× 82 0.2× 72 3.2k
Amir R. Khan Ireland 24 1.5k 0.6× 353 0.6× 241 0.4× 151 0.3× 117 0.2× 62 2.5k
Sakari Kellokumpu Finland 34 1.8k 0.8× 391 0.6× 275 0.5× 231 0.5× 75 0.2× 73 2.8k
Nicola O’Reilly United Kingdom 29 2.3k 1.0× 322 0.5× 117 0.2× 381 0.8× 191 0.4× 56 3.2k
Yasunori Chiba Japan 28 1.8k 0.7× 339 0.5× 482 0.8× 129 0.3× 128 0.3× 77 2.4k
Luitzen de Jong Netherlands 37 3.9k 1.6× 252 0.4× 134 0.2× 556 1.1× 360 0.7× 79 4.7k
Mary Catherine Glick United States 33 2.6k 1.1× 490 0.8× 617 1.1× 360 0.7× 98 0.2× 102 3.5k
Toshiya Nakamura Japan 25 1.6k 0.7× 462 0.7× 353 0.6× 125 0.3× 134 0.3× 108 2.5k

Countries citing papers authored by Hideyuki Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Takeuchi. A scholar is included among the top collaborators of Hideyuki Takeuchi 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 Hideyuki Takeuchi. Hideyuki Takeuchi 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
2.
Okawara, S, et al.. (2024). The N-acetylglucosaminyltransferase Radical fringe contributes to defects in JAG1-dependent turnover and signaling of NOTCH3 CADASIL mutants. Journal of Biological Chemistry. 300(10). 107787–107787. 1 indexed citations
3.
Takahashi, Tadanobu, Yusuke Abe, Y Wakabayashi, et al.. (2024). VP1 of human and murine noroviruses recognizes glycolipid sulfatide via the P domain. The Journal of Biochemistry. 176(4). 299–312.
4.
Takahashi, Tadanobu, Tadamune Otsubo, Kiyoshi Ikeda, et al.. (2024). Novel sialidase inhibitors suppress mumps virus replication and infection. Glycobiology. 34(11). 2 indexed citations
5.
Tashima, Yuko, Jun‐ichi Furukawa, Yasuhiko Kizuka, et al.. (2024). Characterization of galactosyltransferase and sialyltransferase genes mediating the elongation of the extracellular O-GlcNAc glycans. Biochemical and Biophysical Research Communications. 703. 149610–149610. 3 indexed citations
6.
Matsushita, Hiroshi, et al.. (2023). Effects of 10-Hydroxy-2-decenoic Acid and 10-Hydroxydecanoic Acid in Royal Jelly on Bone Metabolism in Ovariectomized Rats: A Pilot Study. Journal of Clinical Medicine. 12(16). 5309–5309. 4 indexed citations
7.
Wang, Weiwei, Tetsuya Okajima, & Hideyuki Takeuchi. (2022). Significant Roles of Notch O-Glycosylation in Cancer. Molecules. 27(6). 1783–1783. 11 indexed citations
9.
Zhang, Ailing, et al.. (2022). Secretory expression of mammalian NOTCH tandem epidermal growth factor-like repeats based on increased O-glycosylation. Analytical Biochemistry. 656. 114881–114881. 5 indexed citations
10.
Mizuno, Kazuyuki, Yuko Tashima, Mitsutaka Ogawa, et al.. (2021). Bioinformatics and Functional Analyses Implicate Potential Roles for EOGT and L-fringe in Pancreatic Cancers. Molecules. 26(4). 882–882. 16 indexed citations
11.
Okajima, Tetsuya, et al.. (2021). Current Views on the Roles of O-Glycosylation in Controlling Notch-Ligand Interactions. Biomolecules. 11(2). 309–309. 17 indexed citations
12.
Takeuchi, Hideyuki, Huilin Hao, Kazuki Nakajima, et al.. (2020). Differential Labeling of Glycoproteins with Alkynyl Fucose Analogs. International Journal of Molecular Sciences. 21(17). 6007–6007. 14 indexed citations
14.
Ogawa, Mitsutaka, et al.. (2020). Contribution of extracellular O-GlcNAc to the stability of folded epidermal growth factor-like domains and Notch1 trafficking. Biochemical and Biophysical Research Communications. 526(1). 184–190. 18 indexed citations
15.
Ogawa, Mitsutaka, Yuya Senoo, Kazutaka Ikeda, et al.. (2020). N-Glycans on EGF domain-specific O-GlcNAc transferase (EOGT) facilitate EOGT maturation and peripheral endoplasmic reticulum localization. Journal of Biological Chemistry. 295(25). 8560–8574. 16 indexed citations
16.
Ogawa, Mitsutaka, Yuya Senoo, Kazutaka Ikeda, Hideyuki Takeuchi, & Tetsuya Okajima. (2018). Structural Divergence in O-GlcNAc Glycans Displayed on Epidermal Growth Factor-like Repeats of Mammalian Notch1. Molecules. 23(7). 1745–1745. 29 indexed citations
17.
Takeuchi, Hideyuki. (2012). O-GlcNAc Transferase: Functions, Structure, and Development of Inhibitors. Trends in Glycoscience and Glycotechnology. 24(135). 43–45. 1 indexed citations
18.
Ishikawa, Hiroyuki, Hideyuki Takeuchi, Robert S. Haltiwanger, & Kenneth D. Irvine. (2008). Four-jointed Is a Golgi Kinase That Phosphorylates a Subset of Cadherin Domains. Science. 321(5887). 401–404. 189 indexed citations
19.
Takeuchi, Hideyuki, et al.. (2008). The Role of O-Glucosylation in Notch Signaling. Trends in Glycoscience and Glycotechnology. 20(113). 159–170. 1 indexed citations
20.
Takeuchi, Hideyuki, et al.. (2007). Interleukin-4 induces specific pp-GalNAc-T expression and alterations in mucin O-glycosylation in colonic epithelial cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1780(3). 577–584. 22 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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