Keizō Tomonaga

6.5k total citations
162 papers, 3.2k citations indexed

About

Keizō Tomonaga is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Keizō Tomonaga has authored 162 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Epidemiology, 57 papers in Infectious Diseases and 51 papers in Genetics. Recurrent topics in Keizō Tomonaga's work include Virology and Viral Diseases (88 papers), Virus-based gene therapy research (47 papers) and Viral Infections and Vectors (39 papers). Keizō Tomonaga is often cited by papers focused on Virology and Viral Diseases (88 papers), Virus-based gene therapy research (47 papers) and Viral Infections and Vectors (39 papers). Keizō Tomonaga collaborates with scholars based in Japan, United States and Germany. Keizō Tomonaga's co-authors include Masayuki Horie, Kazuyoshi Ikuta, Tomoyuki Honda, Takeshi Kobayashi, John M. Coffin, Takuji Daito, Takayuki Miyazawa, Yoshiyuki Suzuki, Yasushi Kawaguchi and Yuki Kobayashi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Keizō Tomonaga

159 papers receiving 3.2k citations

Peers

Keizō Tomonaga

EPIDE

VIROL

GENET

Scott J. Goebel United States

Benjamin M. Blumberg United States

M. E. G. Boursnell United Kingdom

Robert J. Gifford United Kingdom

Bernhard Ehlers Germany

Teryl K. Frey United States

Jonathan P. Clewley United Kingdom

Ahmed A. Azad Australia

Christoph Wirblich United States

Antonito T. Panganiban United States

Scott J. Goebel United States

Keizō Tomonaga

1.0k ×0.6

EPIDE

620 ×0.6

1.0k ×1.3

VIROL

547 ×0.7

GENET

666 ×0.9

Citations per year, relative to Keizō Tomonaga Keizō Tomonaga (= 1×) peers Scott J. Goebel

Countries citing papers authored by Keizō Tomonaga

Since Specialization

Citations

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

Fields of papers citing papers by Keizō Tomonaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keizō Tomonaga

This figure shows the co-authorship network connecting the top 25 collaborators of Keizō Tomonaga. A scholar is included among the top collaborators of Keizō Tomonaga 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 Keizō Tomonaga. Keizō Tomonaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yoshizumi, Shima, et al.. (2024). Development of an RNA virus-based episomal vector with artificial aptazyme for gene silencing. Applied Microbiology and Biotechnology. 108(1). 491–491. 1 indexed citations

Tomonaga, Keizō, et al.. (2023). The hidden diversity of ancient bornaviral sequences from X and P genes in vertebrate genomes. Virus Evolution. 9(1). vead038–vead038. 1 indexed citations

Hart, William S., Robin N. Thompson, Akiko Makino, et al.. (2023). Contact-number-driven virus evolution: A multi-level modeling framework for the evolution of acute or persistent RNA virus infection. PLoS Computational Biology. 19(5). e1011173–e1011173. 3 indexed citations

Matsunaga, Hidenori, Akio Fukumori, Kohji Mori, et al.. (2023). Ribavirin Treatment for Severe Schizophrenia with Anti-Borna Disease Virus 1 Antibodies 30 Years after Onset. SHILAP Revista de lepidopterología. 2023. 1–6. 1 indexed citations

Yamazaki, Hiroshi, Norio Yamamoto, Hayato Maruoka, et al.. (2022). A multicenter study to investigate the positive rate of SARS-CoV-2 in middle ear and mastoid specimens from otologic surgery patients. Auris Nasus Larynx. 50(2). 285–291.

Kawasaki, Junna, et al.. (2021). 100-My history of bornavirus infections hidden in vertebrate genomes. Proceedings of the National Academy of Sciences. 118(20). 19 indexed citations

Iwamoto, Masashi, Junna Kawasaki, Shohei Kojima, et al.. (2021). Identification of novel avian and mammalian deltaviruses provides new insights into deltavirus evolution. Virus Evolution. 7(1). veab003–veab003. 22 indexed citations

Yoshikawa, Yoshihiro, et al.. (2020). Differential roles of two DDX17 isoforms in the formation of membraneless organelles. The Journal of Biochemistry. 168(1). 33–40. 3 indexed citations

Yamamoto, Yusuke, Keizō Tomonaga, & Tomoyuki Honda. (2019). Development of an RNA Virus-Based Episomal Vector Capable of Switching Transgene Expression. Frontiers in Microbiology. 10. 2485–2485. 10 indexed citations

10.

Fujino, K., Yusuke Yamamoto, Takuji Daito, et al.. (2017). Generation of a non‐transmissive Borna disease virus vector lacking both matrix and glycoprotein genes. Microbiology and Immunology. 61(9). 380–386. 20 indexed citations

11.

Yamamoto, Yusuke, et al.. (2017). Antiviral activity of favipiravir (T-705) against mammalian and avian bornaviruses. Antiviral Research. 143. 237–245. 31 indexed citations

12.

Hirano, Yasuhiro, et al.. (2016). Borna Disease Virus Assembles Porous Cage-like Viral Factories in the Nucleus. Journal of Biological Chemistry. 291(50). 25789–25798. 16 indexed citations

13.

Parrish, Nicholas F., K. Fujino, Yusuke Shiromoto, et al.. (2015). piRNAs derived from ancient viral processed pseudogenes as transgenerational sequence-specific immune memory in mammals. RNA. 21(10). 1691–1703. 46 indexed citations

14.

Matsumoto, Yusuke, Yohei Hayashi, Hiroko Omori, et al.. (2012). Bornavirus Closely Associates and Segregates with Host Chromosomes to Ensure Persistent Intranuclear Infection. Cell Host & Microbe. 11(5). 492–503. 82 indexed citations

15.

Yanai, Hideyuki, Yohei Hayashi, Y. Watanabe, et al.. (2006). Development of a novel Borna disease virus reverse genetics system using RNA polymerase II promoter and SV40 nuclear import signal. Microbes and Infection. 8(6). 1522–1529. 34 indexed citations

16.

Watanabe, Makiko, Byeong-Jae Lee, Makiko Yamashita, et al.. (2003). Borna disease virus induces acute fatal neurological disorders in neonatal gerbils without virus- and immune-mediated cell destructions. Virology. 310(2). 245–253. 13 indexed citations

17.

Okamoto, M., Katsuro Hagiwara, Wataru Kamitani, et al.. (2003). Experimental vertical transmission of Borna disease virus in the mouse. Archives of Virology. 148(8). 1557–1568. 18 indexed citations

18.

Miyagawa, Shuji, Takayuki Miyazawa, Junko Yamada, et al.. (2003). The significance of N-linked glycosylation in pig endogenous retrovirus infectivity. Biochemical and Biophysical Research Communications. 310(2). 327–333. 8 indexed citations

19.

Watanabe, Makiko, Byeong-Jae Lee, Wataru Kamitani, et al.. (2001). Neurological Diseases and Viral Dynamics in the Brains of Neonatally Borna Disease Virus-Infected Gerbils. Virology. 282(1). 65–76. 32 indexed citations

20.

Mogi, Goro, et al.. (1990). Influence of Nasal Allergic Reactions on the Clearance of Middle Ear Effusion. Archives of Otolaryngology - Head and Neck Surgery. 116(3). 331–334. 20 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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