Naoki Fujitani

2.6k total citations
54 papers, 2.2k citations indexed

About

Naoki Fujitani is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Naoki Fujitani has authored 54 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 21 papers in Organic Chemistry and 9 papers in Cell Biology. Recurrent topics in Naoki Fujitani's work include Glycosylation and Glycoproteins Research (29 papers), Carbohydrate Chemistry and Synthesis (21 papers) and Antimicrobial Peptides and Activities (8 papers). Naoki Fujitani is often cited by papers focused on Glycosylation and Glycoproteins Research (29 papers), Carbohydrate Chemistry and Synthesis (21 papers) and Antimicrobial Peptides and Activities (8 papers). Naoki Fujitani collaborates with scholars based in Japan, United States and Canada. Naoki Fujitani's co-authors include Shin‐Ichiro Nishimura, Yasuro Shinohara, Jun‐ichi Furukawa, Kenji Monde, Yasuyuki Igarashi, Kohei Yuyama, Hidetoshi Tahara, Shota Sakaï, Yasuhiro Takegawa and Sakae Tsuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Naoki Fujitani

52 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Fujitani Japan 27 1.6k 499 273 247 199 54 2.2k
Luca Domenico D’Andrea Italy 26 2.1k 1.4× 332 0.7× 262 1.0× 188 0.8× 292 1.5× 90 3.0k
Timothy Spicer United States 32 1.5k 1.0× 382 0.8× 394 1.4× 206 0.8× 372 1.9× 130 3.3k
Klaudia Brix Germany 33 1.7k 1.1× 364 0.7× 398 1.5× 859 3.5× 487 2.4× 108 3.8k
V.N. Malashkevich United States 34 2.4k 1.5× 273 0.5× 423 1.5× 126 0.5× 301 1.5× 65 4.1k
David L. Steer Australia 22 918 0.6× 231 0.5× 218 0.8× 110 0.4× 58 0.3× 50 1.8k
Christian Schölz Germany 34 3.3k 2.1× 233 0.5× 1.2k 4.5× 221 0.9× 249 1.3× 74 4.7k
Emma Sierecki Australia 28 1.9k 1.2× 115 0.2× 466 1.7× 211 0.9× 478 2.4× 68 3.1k
Pedro José Barbosa Pereira Portugal 29 1.4k 0.9× 299 0.6× 578 2.1× 103 0.4× 122 0.6× 89 2.4k
Elisabetta Bianchi Italy 33 1.9k 1.2× 352 0.7× 426 1.6× 70 0.3× 98 0.5× 83 3.8k
Thelma A. Pertinhez Italy 27 1.3k 0.8× 118 0.2× 140 0.5× 75 0.3× 156 0.8× 102 2.3k

Countries citing papers authored by Naoki Fujitani

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Fujitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Fujitani

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Fujitani. A scholar is included among the top collaborators of Naoki Fujitani 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 Naoki Fujitani. Naoki Fujitani 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.
Fujitani, Naoki, Hiromi Okamoto, Shigeru Ariki, et al.. (2024). N-glycan on N262 of FGFR3 regulates the intracellular localization and phosphorylation of the receptor. Biochimica et Biophysica Acta (BBA) - General Subjects. 1868(4). 130565–130565. 2 indexed citations
2.
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Yamaguchi, Miki, Sachie Hirai, Masashi Idogawa, et al.. (2023). Junctional adhesion molecule 3 is a potential therapeutic target for small cell lung carcinoma. Experimental Cell Research. 426(2). 113570–113570. 7 indexed citations
4.
Ichinohe, Norihisa, Naoki Tanimizu, Keisuke Ishigami, et al.. (2023). CINC-2 and miR-199a-5p in EVs secreted by transplanted Thy1+ cells activate hepatocytic progenitor cell growth in rat liver regeneration. Stem Cell Research & Therapy. 14(1). 134–134. 3 indexed citations
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Shinohara, Yasuro, Naoki Fujitani, & Jun‐ichi Furukawa. (2013). Total Cellular Glycomics: A Glycomic Approach to Describe Cells and Streamline the Discovery Process for Cellular Biomarkers. Trends in Glycoscience and Glycotechnology. 25(143). 103–116. 4 indexed citations
7.
Sasazawa, Fumio, Tomohiro Onodera, Tadashi Yamashita, et al.. (2013). Depletion of gangliosides enhances cartilage degradation in mice. Osteoarthritis and Cartilage. 22(2). 313–322. 22 indexed citations
8.
Matsushita, Takahiko, Naoki Fujitani, H. Shimizu, et al.. (2013). Microwave‐Assisted Solid‐Phase Synthesis of Antifreeze Glycopeptides. Chemistry - A European Journal. 19(12). 3913–3920. 11 indexed citations
9.
Takegawa, Yasuhiro, et al.. (2012). Determination of O-Glycosylation Heterogeneity Using a Mass-Spectrometric Method Retaining Sugar Modifications. Analytical Sciences. 28(7). 723–727. 3 indexed citations
10.
Hinou, Hiroshi, Masaki Kurogochi, Xiao‐Dong Gao, et al.. (2011). A Strategy for Neuraminidase Inhibitors Using Mechanism‐Based Labeling Information. Chemistry - An Asian Journal. 6(4). 1048–1056. 7 indexed citations
11.
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Shimaoka, Hideyuki, Jun‐ichi Furukawa, Tadashi Yamashita, et al.. (2011). Alteration of the N‐glycome of bovine milk glycoproteins during early lactation. FEBS Journal. 278(19). 3769–3781. 61 indexed citations
13.
Hashimoto, Ryo, Naoki Fujitani, Yasuhiro Takegawa, et al.. (2011). An Efficient Approach for the Characterization of Mucin‐Type Glycopeptides: The Effect of O‐Glycosylation on the Conformation of Synthetic Mucin Peptides. Chemistry - A European Journal. 17(8). 2393–2404. 30 indexed citations
14.
Fujitani, Naoki, H. Shimizu, Teruhiko Matsubara, et al.. (2007). Structural transition of a 15 amino acid residue peptide induced by GM1. Carbohydrate Research. 342(12-13). 1895–1903. 13 indexed citations
15.
Fujitani, Naoki, Takahide Kouno, Tsukasa Osaki, et al.. (2007). The solution structure of horseshoe crab antimicrobial peptide tachystatin B with an inhibitory cystine‐knot motif. Journal of Peptide Science. 13(4). 269–279. 22 indexed citations
16.
Tachibana, Yuki, Garth L. Fletcher, Naoki Fujitani, et al.. (2004). Antifreeze Glycoproteins: Elucidation of the Structural Motifs That Are Essential for Antifreeze Activity. Angewandte Chemie International Edition. 43(7). 856–862. 190 indexed citations
17.
Ohta, Takashi, Nobuaki Miura, Naoki Fujitani, et al.. (2003). Glycotentacles: Synthesis of Cyclic Glycopeptides, Toward a Tailored Blocker of Influenza Virus Hemagglutinin. Angewandte Chemie International Edition. 42(42). 5186–5189. 73 indexed citations
18.
Fujitani, Naoki, Shun-ichiro Kawabata, Tsukasa Osaki, et al.. (2002). Structure of the Antimicrobial Peptide Tachystatin A. Journal of Biological Chemistry. 277(26). 23651–23657. 49 indexed citations
19.
Aizawa, Tomoyasu, Naoki Fujitani, Atsushi Matsuura, et al.. (2001). Structural Analysis of an Antibacterial Peptide Derived from a Nematode. 2000. 269–272. 7 indexed citations
20.
Aizawa, Tomoyasu, Yoichi Hayakawa, Atsushi Ohnishi, et al.. (2001). Structure and Activity of the Insect Cytokine Growth-blocking Peptide. Journal of Biological Chemistry. 276(34). 31813–31818. 36 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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