Yoshinao Kubo

1.4k total citations
69 papers, 1.1k citations indexed

About

Yoshinao Kubo is a scholar working on Virology, Immunology and Genetics. According to data from OpenAlex, Yoshinao Kubo has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Virology, 25 papers in Immunology and 20 papers in Genetics. Recurrent topics in Yoshinao Kubo's work include HIV Research and Treatment (30 papers), Virus-based gene therapy research (19 papers) and Immune Cell Function and Interaction (10 papers). Yoshinao Kubo is often cited by papers focused on HIV Research and Treatment (30 papers), Virus-based gene therapy research (19 papers) and Immune Cell Function and Interaction (10 papers). Yoshinao Kubo collaborates with scholars based in Japan, Singapore and United Kingdom. Yoshinao Kubo's co-authors include Hideki Hayashi, Naoki Yamamoto, T. Matsuyama, Hiroshi Amanuma, Hironori Sato, Hiroaki Yoshii, Yuetsu Tanaka, Iwao Furusawa, Norimasa Yasuda and Nobuyuki Endo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Yoshinao Kubo

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshinao Kubo Japan 18 296 261 244 210 162 69 1.1k
Jacques d’Alayer France 16 596 2.0× 141 0.5× 173 0.7× 100 0.5× 210 1.3× 32 1.3k
Yun Lan China 17 511 1.7× 97 0.4× 185 0.8× 162 0.8× 248 1.5× 90 1.2k
Douglas F. Lake United States 25 614 2.1× 484 1.9× 337 1.4× 308 1.5× 323 2.0× 90 1.6k
Alexis Kaushansky United States 24 564 1.9× 307 1.2× 237 1.0× 80 0.4× 104 0.6× 57 1.6k
Peter A. Wells United States 22 544 1.8× 160 0.6× 531 2.2× 93 0.4× 227 1.4× 49 1.6k
Larry J. Ross United States 21 737 2.5× 425 1.6× 249 1.0× 145 0.7× 445 2.7× 32 1.6k
Glay Chinea Cuba 21 649 2.2× 177 0.7× 174 0.7× 46 0.2× 280 1.7× 51 1.4k
Ian Bathurst United States 25 820 2.8× 443 1.7× 231 0.9× 291 1.4× 302 1.9× 65 2.1k
Alexander Zdanov United States 27 1.1k 3.7× 775 3.0× 229 0.9× 199 0.9× 233 1.4× 44 2.3k
Pernille Andersen Denmark 12 930 3.1× 415 1.6× 126 0.5× 82 0.4× 99 0.6× 15 1.5k

Countries citing papers authored by Yoshinao Kubo

Since Specialization
Citations

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

Fields of papers citing papers by Yoshinao Kubo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshinao Kubo

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshinao Kubo. A scholar is included among the top collaborators of Yoshinao Kubo 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 Yoshinao Kubo. Yoshinao Kubo 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.
Hayashi, Hideki, et al.. (2024). Development of a highly sensitive platform for protein–protein interaction detection and regulation of T cell function. Proceedings of the National Academy of Sciences. 121(33). e2318190121–e2318190121.
2.
Suzuki, Shuichi, et al.. (2024). Post-Transcriptional Induction of the Antiviral Host Factor GILT/IFI30 by Interferon Gamma. International Journal of Molecular Sciences. 25(17). 9663–9663. 1 indexed citations
3.
Mukadi, Patrick, Elisabeth Pukuta-Simbu, Luigi Palla, et al.. (2021). Leptospirosis as a cause of fever associated with jaundice in the Democratic Republic of the Congo. PLoS neglected tropical diseases. 15(8). e0009670–e0009670. 10 indexed citations
4.
5.
Hayashi, Hideki, Yoshinao Kubo, Etsuhisa Takahashi, et al.. (2018). Enterokinase Enhances Influenza A Virus Infection by Activating Trypsinogen in Human Cell Lines. Frontiers in Cellular and Infection Microbiology. 8. 91–91. 12 indexed citations
6.
Hayashi, Hideki, et al.. (2018). Role of Ezrin Phosphorylation in HIV-1 Replication. Frontiers in Microbiology. 9. 1912–1912. 9 indexed citations
7.
8.
Wada, Akihiro, Pooi‐Fong Wong, Hironobu Hojo, et al.. (2013). Alarin but not its alternative-splicing form, GALP (Galanin-like peptide) has antimicrobial activity. Biochemical and Biophysical Research Communications. 434(2). 223–227. 17 indexed citations
9.
Kohno, Tomoko, Yoshinao Kubo, Kiyoshi Yasui, et al.. (2012). Serum Starvation Activates NF-κB Through G Protein β2 Subunit-Mediated Signal. DNA and Cell Biology. 31(11). 1636–1644. 8 indexed citations
10.
Yashima, Yuka, Yuetsu Tanaka, Hideki Hayashi, et al.. (2012). CXCR4-Tropic, But Not CCR5-Tropic, Human Immunodeficiency Virus Infection Is Inhibited by the Lipid Raft-Associated Factors, Acyclic Retinoid Analogs, and Cholera Toxin B Subunit. AIDS Research and Human Retroviruses. 29(2). 279–288. 7 indexed citations
11.
Hayashi, Hideki, Tomoko Kohno, Kiyoshi Yasui, et al.. (2011). Characterization of dsRNA-induced pancreatitis model reveals the regulatory role of IFN regulatory factor 2 ( Irf2 ) in trypsinogen5 gene transcription. Proceedings of the National Academy of Sciences. 108(46). 18766–18771. 14 indexed citations
12.
Ono, Shinji, Takahiro Tanaka, Masaki Ishida, et al.. (2011). Surfactant protein C G100S mutation causes familial pulmonary fibrosis in Japanese kindred. European Respiratory Journal. 38(4). 861–869. 60 indexed citations
13.
Yoshii, Hiroaki, et al.. (2009). Raft localization of CXCR4 is primarily required for X4-tropic human immunodeficiency virus type 1 infection. Virology. 386(1). 23–31. 32 indexed citations
14.
Yoshii, Hiroaki, Kazuo Minematsu, Kazunori Oishi, et al.. (2009). Cathepsin L is required for ecotropic murine leukemia virus infection in NIH3T3 cells. Virology. 394(2). 227–234. 11 indexed citations
15.
Kubo, Yoshinao, et al.. (2008). Ezrin, Radixin, and Moesin (ERM) proteins function as pleiotropic regulators of human immunodeficiency virus type 1 infection. Virology. 375(1). 130–140. 38 indexed citations
16.
Miyakawa, Kei, et al.. (2008). Effects of the ligand sequence modifications on the retargeted transduction by the retroviral vector having a ligand-chimeric Env protein. Journal of General Virology. 89(12). 3137–3143. 2 indexed citations
17.
Kubo, Yoshinao & Hiroshi Amanuma. (2003). Mutational analysis of the R peptide cleavage site of Moloney murine leukaemia virus envelope protein. Journal of General Virology. 84(8). 2253–2257. 20 indexed citations
18.
Kubo, Yoshinao, et al.. (2002). A Glycosylation-Defective Variant of the Ecotropic Murine Retrovirus Receptor Is Expressed in Rat XC Cells. Virology. 303(2). 338–344. 14 indexed citations
19.
Kubo, Yoshinao, Kazuhiro Kakimi, Liliang Wang, et al.. (1994). The p15gag and p12gag regions are both necessary for the pathogenicity of the murine AIDS virus. Journal of Virology. 68(9). 5532–5537. 13 indexed citations
20.
Nakajima, Shinji, et al.. (1989). Tumor localizing Ga-porpyrin complex (ATX-70) as a new photosensitizer excited with Yag-laser. Nippon Laser Igakkaishi. 10(3). 225–228. 11 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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