Hideyuki Ihara

2.1k total citations
80 papers, 1.4k citations indexed

About

Hideyuki Ihara is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hideyuki Ihara has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 24 papers in Surgery and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hideyuki Ihara's work include Glycosylation and Glycoproteins Research (22 papers), Galectins and Cancer Biology (16 papers) and Carbohydrate Chemistry and Synthesis (14 papers). Hideyuki Ihara is often cited by papers focused on Glycosylation and Glycoproteins Research (22 papers), Galectins and Cancer Biology (16 papers) and Carbohydrate Chemistry and Synthesis (14 papers). Hideyuki Ihara collaborates with scholars based in Japan, United States and Slovenia. Hideyuki Ihara's co-authors include Naoyuki Taniguchi, Yoshitaka Ikeda, Eiji Miyoshi, Koichi Honke, Jianguo Gu, Xiangchun Wang, Takahiro Okada, Ken Sasai, Kan Takayanagi and Hiroki Tsukamoto and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Hideyuki Ihara

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideyuki Ihara Japan 22 900 538 290 258 197 80 1.4k
Norihito Kawasaki Japan 27 846 0.9× 684 1.3× 190 0.7× 231 0.9× 280 1.4× 60 1.8k
Yen‐Lin Huang Taiwan 19 679 0.8× 593 1.1× 167 0.6× 177 0.7× 582 3.0× 39 1.7k
Willem van Dijk Netherlands 26 1.2k 1.4× 623 1.2× 235 0.8× 83 0.3× 146 0.7× 56 1.7k
Masayoshi Oh‐eda United States 19 961 1.1× 875 1.6× 170 0.6× 98 0.4× 589 3.0× 29 2.4k
Cristina Balagué Spain 21 1.1k 1.2× 214 0.4× 200 0.7× 170 0.7× 629 3.2× 27 1.7k
Chih-Wei Lin Taiwan 16 534 0.6× 267 0.5× 107 0.4× 112 0.4× 156 0.8× 29 1.5k
H.H. Sedlacek Germany 20 596 0.7× 225 0.4× 102 0.4× 97 0.4× 485 2.5× 69 1.3k
Pam Tangvoranuntakul United States 7 706 0.8× 243 0.5× 85 0.3× 150 0.6× 146 0.7× 7 998
Robert Peters United States 21 1.0k 1.1× 610 1.1× 44 0.2× 94 0.4× 331 1.7× 60 2.4k
Josef Brüggen Switzerland 10 779 0.9× 416 0.8× 116 0.4× 52 0.2× 203 1.0× 13 1.2k

Countries citing papers authored by Hideyuki Ihara

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Ihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Ihara

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Ihara. A scholar is included among the top collaborators of Hideyuki Ihara 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 Ihara. Hideyuki Ihara 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.
Okagawa, Yutaka, Tetsuya Sumiyoshi, Yusuke Tomita, et al.. (2024). Is annual screening by fecal immunochemical test necessary after a recent colonoscopy?. SHILAP Revista de lepidopterología. 5(1). e385–e385.
2.
Ohta, Hidetoshi & Hideyuki Ihara. (2024). ARTIFICIAL INTELLIGENCE DETERMINES PRECISE LOCALIZATION AND THE NUMBER OF LESIONS ON CAPSULE ENDOSCOPY. Gastrointestinal Endoscopy. 99(6). AB31–AB31. 1 indexed citations
3.
Yane, Kei, Masahiro Yoshida, K. Morita, et al.. (2023). Usefulness of endoscopic ultrasound‐guided transhepatic biliary drainage with a 22‐gauge fine‐needle aspiration needle and 0.018‐inch guidewire in the procedure's induction phase. SHILAP Revista de lepidopterología. 4(1). e297–e297. 2 indexed citations
4.
Yane, Kei, Yusuke Tomita, Masahiro Yoshida, et al.. (2023). Initial experience of transpapillary gallbladder biopsy using newly designed device delivery system. SHILAP Revista de lepidopterología. 11(6). E613–E617. 2 indexed citations
5.
Yane, Kei, Yusuke Tomita, K. Morita, et al.. (2022). Case of needle tract seeding during preoperative neoadjuvant chemotherapy for resectable pancreatic cancer. SHILAP Revista de lepidopterología. 3(1). e124–e124. 2 indexed citations
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Sumiyoshi, Tetsuya, Yusuke Tomita, Masahiro Yoshida, et al.. (2021). Laparoscopic gastrojejunostomy to manage gastric outlet obstruction associated with endoscopic submucosal dissection of large gastric epithelial neoplasms: A two‐case report. SHILAP Revista de lepidopterología. 2(1). e18–e18.
8.
Sumiyoshi, Tetsuya, Yusuke Tomita, Masahiro Yoshida, et al.. (2021). Does second-look endoscopy reduce the bleeding after gastric endoscopic submucosal dissection for patients receiving antithrombotic therapy?. BMC Cancer. 21(1). 946–946. 3 indexed citations
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Sumiyoshi, Tetsuya, Hitoshi Kondo, Ryoji Fujii, et al.. (2016). Short- and long-term outcomes of endoscopic submucosal dissection for early gastric cancer in elderly patients aged 75 years and older. Gastric Cancer. 20(3). 489–495. 27 indexed citations
11.
Ihara, Hideyuki, Hiroki Tsukamoto, Naoyuki Taniguchi, & Yoshitaka Ikeda. (2013). An Assay for α 1,6-Fucosyltransferase (FUT8) Activity Based on the HPLC Separation of a Reaction Product with Fluorescence Detection. Methods in molecular biology. 1022. 335–348. 7 indexed citations
12.
Ikeda, Yoshitaka, et al.. (2010). Expression of N-terminally truncated forms of rat peroxiredoxin-4 in insect cells. Protein Expression and Purification. 72(1). 1–7. 11 indexed citations
13.
Okada, Takahiro, Hideyuki Ihara, Ryosuke Ito, et al.. (2010). N-Glycosylation engineering of lepidopteran insect cells by the introduction of the  1,4-N-acetylglucosaminyltransferase III gene. Glycobiology. 20(9). 1147–1159. 23 indexed citations
14.
Ihara, Hideyuki, et al.. (2009). Rigor and Relevance in the International Picture Language Rudolf Modley’s Criticism against Otto Neurath and his Activity in the Context of the Rise of the “Americanization of Neurath method”. Kyushu University Institutional Repository (QIR) (Kyushu University).
15.
Hayashi, Tsuyoshi, Hirotoshi Ishiwatari, Hideyuki Ihara, et al.. (2009). Suppressive effect of sulindac on branch duct-intraductal papillary mucinous neoplasms. Journal of Gastroenterology. 44(9). 964–975. 7 indexed citations
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Shigeta, Masaki, Yukinao Shibukawa, Hideyuki Ihara, et al.. (2006). β1,4-N-Acetylglucosaminyltransferase III potentiates β1 integrin-mediated neuritogenesis induced by serum deprivation in Neuro2a cells. Glycobiology. 16(6). 564–571. 26 indexed citations
18.
Wang, Xiangchun, Jianguo Gu, Hideyuki Ihara, et al.. (2005). Core Fucosylation Regulates Epidermal Growth Factor Receptor-mediated Intracellular Signaling. Journal of Biological Chemistry. 281(5). 2572–2577. 263 indexed citations
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Tachibana, Hiroshi, et al.. (1999). Bacterial expression of a neutralizing mouse monoclonal antibody Fab fragment to a 150-kilodalton surface antigen of Entamoeba histolytica.. American Journal of Tropical Medicine and Hygiene. 60(1). 35–40. 21 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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