Chieko Kai

8.0k total citations
149 papers, 2.8k citations indexed

About

Chieko Kai is a scholar working on Epidemiology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Chieko Kai has authored 149 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Epidemiology, 67 papers in Genetics and 39 papers in Animal Science and Zoology. Recurrent topics in Chieko Kai's work include Virology and Viral Diseases (81 papers), Virus-based gene therapy research (61 papers) and Animal Virus Infections Studies (39 papers). Chieko Kai is often cited by papers focused on Virology and Viral Diseases (81 papers), Virus-based gene therapy research (61 papers) and Animal Virus Infections Studies (39 papers). Chieko Kai collaborates with scholars based in Japan, United States and Thailand. Chieko Kai's co-authors include Misako Yoneda, Hiroki Sato, Fusako Ikeda, Kyoko Tsukiyama–Kohara, Takeshi Mikami, Akihiro Sugai, Takayuki Miyazawa, Kentaro Fujita, Hiroki Sato and Kazuya Yamanouchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Chieko Kai

149 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chieko Kai Japan 30 1.8k 976 929 526 491 149 2.8k
Veronika von Messling Germany 37 3.1k 1.7× 1.4k 1.5× 1.2k 1.3× 476 0.9× 712 1.5× 94 4.3k
Gholamreza Darai Germany 25 1.1k 0.6× 588 0.6× 731 0.8× 517 1.0× 343 0.7× 88 2.6k
Sue A. Moyer United States 39 2.4k 1.3× 1.1k 1.1× 1.1k 1.2× 322 0.6× 633 1.3× 77 3.5k
Andrea Maisner Germany 31 1.7k 0.9× 583 0.6× 964 1.0× 215 0.4× 305 0.6× 66 2.4k
Bernhard Ehlers Germany 36 2.0k 1.1× 525 0.5× 728 0.8× 212 0.4× 567 1.2× 94 4.3k
M. E. G. Boursnell United Kingdom 35 1.8k 1.0× 1.2k 1.2× 1.3k 1.4× 522 1.0× 1.4k 2.8× 75 4.1k
Claes Örvell Sweden 41 4.3k 2.4× 1.3k 1.3× 1.6k 1.7× 493 0.9× 849 1.7× 140 5.2k
Toru Takimoto United States 34 2.8k 1.5× 561 0.6× 1.2k 1.3× 234 0.4× 389 0.8× 133 3.8k
Bin Gotoh Japan 28 1.7k 0.9× 456 0.5× 965 1.0× 177 0.3× 562 1.1× 56 2.8k
John W. Wills United States 38 1.9k 1.0× 1.1k 1.1× 686 0.7× 1.5k 2.8× 222 0.5× 62 3.8k

Countries citing papers authored by Chieko Kai

Since Specialization
Citations

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

Fields of papers citing papers by Chieko Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chieko Kai

This figure shows the co-authorship network connecting the top 25 collaborators of Chieko Kai. A scholar is included among the top collaborators of Chieko Kai 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 Chieko Kai. Chieko Kai 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.
Moritoh, Kanako, Yosuke Amagai, Tomoko Fujiyuki, et al.. (2023). Immune response elicited in the tumor microenvironment upon rMV‐SLAMblind cancer virotherapy. Cancer Science. 114(5). 2158–2168. 3 indexed citations
2.
Tamura, Kei, Tomoko Fujiyuki, Kanako Moritoh, et al.. (2023). Anti-tumor activity of a recombinant measles virus against canine lung cancer cells. Scientific Reports. 13(1). 18168–18168. 3 indexed citations
3.
Yamaguchi, Kiyoshi, Tsuneo Ikenoue, Tomoko Fujiyuki, et al.. (2023). Expression of PVRL4, a molecular target for cancer treatment, is transcriptionally regulated by FOS. Oncology Reports. 51(1). 2 indexed citations
4.
5.
6.
Sugai, Akihiro, Hiroki Sato, Misako Yoneda, & Chieko Kai. (2017). Gene end-like sequences within the 3′ non-coding region of the Nipah virus genome attenuate viral gene transcription. Virology. 508. 36–44. 14 indexed citations
7.
Fujiyuki, Tomoko, Misako Yoneda, Fumihiko Yasui, et al.. (2017). Efficacy of recombinant measles virus expressing highly pathogenic avian influenza virus (HPAIV) antigen against HPAIV infection in monkeys. Scientific Reports. 7(1). 12017–12017. 7 indexed citations
8.
Takenaka, Akiko, Misako Yoneda, Takahiro Seki, et al.. (2014). Characterization of two recent Japanese field isolates of canine distemper virus and examination of the avirulent strain utility as an attenuated vaccine. Veterinary Microbiology. 174(3-4). 372–381. 11 indexed citations
9.
Kodama, Atsushi, Tokuma Yanai, Masahito Kubo, et al.. (2010). Cynomolgus monkeys (Macaca fascicularis) may not become infected with equine herpesvirus 9. Journal of Medical Primatology. 40(1). 18–20. 2 indexed citations
10.
Mizumoto, Kiyohisa, et al.. (2009). Hepatitis C virus-core protein facilitates the degradation of Ku70 and reduces DNA-PK activity in hepatocytes. Virus Research. 144(1-2). 266–271. 5 indexed citations
11.
Chueh, Ling-Ling, Masashi Uema, Akira Watanabe, et al.. (2008). Phylogenetic Analysis and Isolation of Canine Distemper Viruses in Taiwan. 34(4). 198–210. 3 indexed citations
12.
Yasui, Fumihiko, Chieko Kai, Masahiro Kitabatake, et al.. (2008). Prior Immunization with Severe Acute Respiratory Syndrome (SARS)-Associated Coronavirus (SARS-CoV) Nucleocapsid Protein Causes Severe Pneumonia in Mice Infected with SARS-CoV. The Journal of Immunology. 181(9). 6337–6348. 187 indexed citations
13.
Sato, Hiroki, Fumio Kobune, Yasushi Ami, Misako Yoneda, & Chieko Kai. (2007). Immune responses against measles virus in cynomolgus monkeys. Comparative Immunology Microbiology and Infectious Diseases. 31(1). 25–35. 13 indexed citations
14.
Fujita, Kentaro, Ryuichi Miura, Misako Yoneda, et al.. (2006). Host range and receptor utilization of canine distemper virus analyzed by recombinant viruses: Involvement of heparin-like molecule in CDV infection. Virology. 359(2). 324–335. 33 indexed citations
15.
Sato, Hiroki, Hiroshi Kamata, Akiko Takenaka, et al.. (2006). Characterization of monoclonal antibodies directed against the canine distemper virus nucleocapsid protein. Comparative Immunology Microbiology and Infectious Diseases. 29(2-3). 157–165. 20 indexed citations
16.
Tokiyoshi, Sachio, N. Hirayama, Kazuya Nakamura, et al.. (2000). Antigenic differences in the H proteins of canine distemper viruses. Veterinary Microbiology. 71(3-4). 281–286. 75 indexed citations
17.
Yanai, Tokuma, G. Tedó, Takeshi Mori, et al.. (1997). Histopathological features of canine distemper recently observed in Japan. Journal of Comparative Pathology. 116(4). 403–408. 20 indexed citations
18.
Ikeda, Yasumasa, Yasushi Kawaguchi, Mariko Kohmoto, et al.. (1996). Feline immunodeficiency virus can infect a human cell line (MOLT-4) but establishes a state of latency in the cells. Journal of General Virology. 77(8). 1623–1630. 34 indexed citations
19.
Kai, Chieko, et al.. (1995). Suppression of Canine Parvovirus Growth in CRFK Cells by Canine Distemper Virus.. Journal of Veterinary Medical Science. 57(3). 535–537. 1 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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