Naoto Koyanagi

1.1k total citations
44 papers, 805 citations indexed

About

Naoto Koyanagi is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Naoto Koyanagi has authored 44 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Epidemiology, 23 papers in Immunology and 19 papers in Molecular Biology. Recurrent topics in Naoto Koyanagi's work include Herpesvirus Infections and Treatments (38 papers), Cytomegalovirus and herpesvirus research (15 papers) and Toxin Mechanisms and Immunotoxins (10 papers). Naoto Koyanagi is often cited by papers focused on Herpesvirus Infections and Treatments (38 papers), Cytomegalovirus and herpesvirus research (15 papers) and Toxin Mechanisms and Immunotoxins (10 papers). Naoto Koyanagi collaborates with scholars based in Japan, United States and Slovakia. Naoto Koyanagi's co-authors include Yasushi Kawaguchi, Akihisa Kato, Jun Arii, Yuhei Maruzuru, Mizuki Watanabe, Takahiko Imai, Shinya Oda, Keiko Shindo, Takeshi Ichinohe and Ryota Sato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Naoto Koyanagi

43 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoto Koyanagi Japan 18 520 347 267 118 72 44 805
Yuhei Maruzuru Japan 17 445 0.9× 317 0.9× 243 0.9× 126 1.1× 76 1.1× 32 685
Eve Diefenbach Australia 12 353 0.7× 285 0.8× 273 1.0× 94 0.8× 93 1.3× 19 775
Tracy Jo Pasieka United States 13 379 0.7× 118 0.3× 240 0.9× 68 0.6× 76 1.1× 15 567
David J. Davido United States 19 635 1.2× 233 0.7× 335 1.3× 172 1.5× 104 1.4× 37 819
Meaghan H. Hancock United States 18 541 1.0× 263 0.8× 199 0.7× 70 0.6× 65 0.9× 33 752
Céline Van den Broeke Belgium 13 281 0.5× 151 0.4× 137 0.5× 69 0.6× 67 0.9× 16 524
Marion Lussignol France 9 458 0.9× 207 0.6× 139 0.5× 49 0.4× 74 1.0× 13 783
Luca Benetti United States 12 388 0.7× 155 0.4× 196 0.7× 104 0.9× 44 0.6× 15 912
Sonja Schmid United States 14 214 0.4× 377 1.1× 398 1.5× 58 0.5× 77 1.1× 21 784
Jesse H. Arbuckle United States 13 570 1.1× 219 0.6× 173 0.6× 93 0.8× 289 4.0× 21 901

Countries citing papers authored by Naoto Koyanagi

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Koyanagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Koyanagi

This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Koyanagi. A scholar is included among the top collaborators of Naoto Koyanagi 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 Naoto Koyanagi. Naoto Koyanagi 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.
Koyanagi, Naoto, Kowit Hengphasatporn, Akihisa Kato, et al.. (2025). Regulatory mimicry of cyclin-dependent kinases by a conserved herpesvirus protein kinase. Proceedings of the National Academy of Sciences. 122(16). e2500264122–e2500264122. 2 indexed citations
2.
Kato, Akihisa, et al.. (2025). Impact of the changes in substrate specificity of herpes simplex virus 1 protein kinase Us3 on viral infection in vitro and in vivo. Journal of Virology. 99(7). e0040025–e0040025. 1 indexed citations
3.
Koyanagi, Naoto, et al.. (2025). Identification of viral activators of the HSV-2 UL13 protein kinase. Journal of Virology. 99(10). e0116525–e0116525.
4.
Maruzuru, Yuhei, et al.. (2024). Impact of the interaction between herpes simplex virus 1 ICP22 and FACT on viral gene expression and pathogenesis. Journal of Virology. 98(8). e0073724–e0073724. 1 indexed citations
5.
Maruzuru, Yuhei, Shuji Iwata, Naoto Koyanagi, et al.. (2023). Dual impacts of a glycan shield on the envelope glycoprotein B of HSV-1: evasion from human antibodies in vivo and neurovirulence. mBio. 14(4). e0099223–e0099223. 7 indexed citations
6.
Maruzuru, Yuhei, et al.. (2022). Redundant and Specific Roles of A-Type Lamins and Lamin B Receptor in Herpes Simplex Virus 1 Infection. Journal of Virology. 96(24). e0142922–e0142922. 3 indexed citations
7.
Kato, Akihisa, Shungo Adachi, Shuichi Kawano, et al.. (2020). Identification of a herpes simplex virus 1 gene encoding neurovirulence factor by chemical proteomics. Nature Communications. 11(1). 4894–4894. 16 indexed citations
8.
Maruzuru, Yuhei, Naoto Koyanagi, Akihisa Kato, & Yasushi Kawaguchi. (2020). Role of the DNA Binding Activity of Herpes Simplex Virus 1 VP22 in Evading AIM2-Dependent Inflammasome Activation Induced by the Virus. Journal of Virology. 95(5). 11 indexed citations
9.
Suzuki, Hidenori, Wataru Nakajima, Toshiki Himeda, et al.. (2020). Cochlear supporting cells function as macrophage-like cells and protect audiosensory receptor hair cells from pathogens. Scientific Reports. 10(1). 6740–6740. 17 indexed citations
10.
11.
Arii, Jun, Mizuki Watanabe, Noriko Tokai-Nishizumi, et al.. (2018). ESCRT-III mediates budding across the inner nuclear membrane and regulates its integrity. Nature Communications. 9(1). 3379–3379. 82 indexed citations
12.
Maruzuru, Yuhei, Takeshi Ichinohe, Ryota Sato, et al.. (2018). Herpes Simplex Virus 1 VP22 Inhibits AIM2-Dependent Inflammasome Activation to Enable Efficient Viral Replication. Cell Host & Microbe. 23(2). 254–265.e7. 113 indexed citations
13.
Koyanagi, Naoto, Takahiko Imai, Keiko Shindo, et al.. (2017). Herpes simplex virus-1 evasion of CD8+ T cell accumulation contributes to viral encephalitis. Journal of Clinical Investigation. 127(10). 3784–3795. 36 indexed citations
14.
Arii, Jun, et al.. (2017). Herpes Simplex Virus 1 UL34 Protein Regulates the Global Architecture of the Endoplasmic Reticulum in Infected Cells. Journal of Virology. 91(12). 18 indexed citations
15.
Maruzuru, Yuhei, Naoto Koyanagi, Naoki Takemura, et al.. (2016). p53 Is a Host Cell Regulator during Herpes Simplex Encephalitis. Journal of Virology. 90(15). 6738–6745. 19 indexed citations
16.
Kato, Akihisa, Masaaki Oyama, Hiroko Kozuka‐Hata, et al.. (2015). Interactome analysis of herpes simplex virus 1 envelope glycoprotein H. Microbiology and Immunology. 59(6). 331–337. 4 indexed citations
17.
18.
Koyanagi, Naoto, Takahiko Imai, Jun Arii, Akihisa Kato, & Yasushi Kawaguchi. (2013). Role of herpes simplex virus 1 Us3 in viral neuroinvasiveness. Microbiology and Immunology. 58(1). 31–37. 12 indexed citations
19.
Imai, Takahiko, Naoto Koyanagi, Ryo Ogawa, et al.. (2013). Us3 Kinase Encoded by Herpes Simplex Virus 1 Mediates Downregulation of Cell Surface Major Histocompatibility Complex Class I and Evasion of CD8+ T Cells. PLoS ONE. 8(8). e72050–e72050. 40 indexed citations
20.

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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