Kaoru Takeuchi

4.2k total citations
103 papers, 3.4k citations indexed

About

Kaoru Takeuchi is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kaoru Takeuchi has authored 103 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Epidemiology, 24 papers in Infectious Diseases and 24 papers in Molecular Biology. Recurrent topics in Kaoru Takeuchi's work include Virology and Viral Diseases (52 papers), Respiratory viral infections research (21 papers) and Virus-based gene therapy research (11 papers). Kaoru Takeuchi is often cited by papers focused on Virology and Viral Diseases (52 papers), Respiratory viral infections research (21 papers) and Virus-based gene therapy research (11 papers). Kaoru Takeuchi collaborates with scholars based in Japan, United States and Georgia. Kaoru Takeuchi's co-authors include Robert A. Lamb, Makoto Takeda, Naoko Miyajima, Chenhui Wang, Lawrence H. Pinto, Akio Yamada, Michiko Hishiyama, Kiyoshi Tanabayashi, Kyosuke Nagata and Yusuke Yanagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Kaoru Takeuchi

102 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaoru Takeuchi Japan 31 2.2k 816 790 715 462 103 3.4k
Sigvard Olofsson Sweden 39 2.1k 0.9× 921 1.1× 1.6k 2.0× 1.1k 1.6× 334 0.7× 123 4.2k
Makoto Ozawa Japan 31 3.0k 1.4× 1.3k 1.6× 988 1.3× 713 1.0× 206 0.4× 120 4.1k
Balaji Manicassamy United States 35 2.3k 1.0× 1.0k 1.2× 1.4k 1.8× 1.7k 2.3× 242 0.5× 64 4.0k
Hanzhong Wang China 36 890 0.4× 815 1.0× 1.7k 2.2× 510 0.7× 343 0.7× 114 3.4k
Steffen Mueller United States 31 604 0.3× 1.0k 1.3× 1.8k 2.2× 460 0.6× 479 1.0× 53 3.7k
Silke Stertz Switzerland 27 1.2k 0.6× 787 1.0× 710 0.9× 1.1k 1.5× 180 0.4× 58 2.6k
Zhong Huang China 43 729 0.3× 1.8k 2.2× 2.1k 2.6× 992 1.4× 306 0.7× 173 5.1k
Hans J. Eggers Germany 30 1.0k 0.5× 1.1k 1.4× 1.1k 1.4× 282 0.4× 633 1.4× 143 3.3k
Justin G. Julander United States 32 1.0k 0.5× 2.2k 2.6× 806 1.0× 449 0.6× 173 0.4× 83 3.6k

Countries citing papers authored by Kaoru Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaoru Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Takeuchi. A scholar is included among the top collaborators of Kaoru Takeuchi 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 Kaoru Takeuchi. Kaoru Takeuchi 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.
Okura, Takashi, Yusuke Nakai, Fuminori Mizukoshi, et al.. (2025). Paramyxovirus matrix protein redirects METTL3 for dual regulation of viral replication and immune evasion. PLoS Pathogens. 21(12). e1013755–e1013755.
2.
Okura, Takashi, Maino Tahara, Noriyuki Otsuki, et al.. (2023). Generation of a photocontrollable recombinant bovine parainfluenza virus type 3. Microbiology and Immunology. 67(4). 204–209. 2 indexed citations
3.
Nakahira, Yoichi, et al.. (2021). Mass Production of Virus-Like Particles Using Chloroplast Genetic Engineering for Highly Immunogenic Oral Vaccine Against Fish Disease. Frontiers in Plant Science. 12. 717952–717952. 17 indexed citations
4.
5.
Yamasaki, Eiki, et al.. (2020). Rapid Serotyping of Salmonella Isolates Based on Single Nucleotide Polymorphism-Like Sequence Profiles of a Salmonella- Specific Gene. Foodborne Pathogens and Disease. 18(1). 31–40. 2 indexed citations
6.
7.
Ohkura, Takashi, Moeko Minakuchi, Takehiro Kokuho, et al.. (2014). Infection of the upper respiratory tract of hamsters by the bovine parainfluenza virus type 3 BN-1 strain expressing enhanced green fluorescent protein. Virology. 476. 134–140. 8 indexed citations
8.
Matsubara, Keita, Motoko Fujino, Kaoru Takeuchi, Satoshi Iwata, & Tetsuo Nakayama. (2013). A New Method for the Detection of Neutralizing Antibodies against Mumps Virus. PLoS ONE. 8(7). e65281–e65281. 8 indexed citations
9.
Nagata, Kyosuke, et al.. (2012). Cell Tropism and Pathogenesis of Measles Virus in Monkeys. Frontiers in Microbiology. 3. 14–14. 11 indexed citations
10.
Kato, Seiichi, Shinji Ohgimoto, Minoru Ayata, et al.. (2009). Reduced ability of hemagglutinin of the CAM-70 measles virus vaccine strain to use receptors CD46 and SLAM. Vaccine. 27(29). 3838–3848. 9 indexed citations
11.
Takeuchi, Kaoru, Naoko Miyajima, Noriyo Nagata, Makoto Takeda, & Masato Tashiro. (2003). Wild-type measles virus induces large syncytium formation in primary human small airway epithelial cells by a SLAM(CD150)-independent mechanism. Virus Research. 94(1). 11–16. 61 indexed citations
12.
Yang, Shuai, et al.. (2003). Conformation and growth mechanism of the carbon nanocoils with twisting form in comparison with that of carbon microcoils. Diamond and Related Materials. 12(10-11). 1836–1840. 22 indexed citations
13.
Nagai, Makoto, Takashi Ito, Shigeo Sugita, et al.. (2001). Genomic and serological diversity of bovine viral diarrhea virus in Japan. Archives of Virology. 146(4). 685–696. 64 indexed citations
14.
Takeuchi, Kaoru, Kiyoshi Tanabayashi, Michiko Hishiyama, & Akio Yamada. (1996). The Mumps Virus SH Protein Is a Membrane Protein and Not Essential for Virus Growth. Virology. 225(1). 156–162. 74 indexed citations
15.
Yamada, Akio, et al.. (1992). Genetic evidence for variant selection in the course of dilute passaging of mumps vaccine virus. Research in Virology. 143(4). 279–283. 10 indexed citations
16.
Tanabayashi, Kiyoshi, et al.. (1992). Molecular cloning and sequence analysis of the mumps virus gene encoding the L protein and the trailer sequence. Virology. 188(2). 926–930. 29 indexed citations
17.
Takeuchi, Kaoru, Kiyoshi Tanabayashi, Michiko Hishiyama, Akio Yamada, & Akira Sugiura. (1991). Variations of nucleotide sequences and transcription of the SH gene among mumps virus strains. Virology. 181(1). 364–366. 52 indexed citations
18.
Yamada, Akio, Kaoru Takeuchi, Kiyoshi Tanabayashi, et al.. (1990). Differentiation of the mumps vaccine strains from the wild viruses by the nucleotide sequences of the P gene. Vaccine. 8(6). 553–557. 30 indexed citations
19.
Takeuchi, Kaoru, Kiyoshi Tanabayashi, Michiko Hishiyama, Akio Yamada, & Akira Sugiura. (1989). Cloning and sequencing of the fusion protein gene of mumps virus (Miyahara strain). Nucleic Acids Research. 17(14). 5839–5839. 19 indexed citations
20.
Yamada, Akio, Kaoru Takeuchi, & Michiko Hishiyama. (1988). Intracellular processing of mumps virus glycoproteins. Virology. 165(1). 268–273. 14 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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