Yuki Naoi

602 total citations
18 papers, 262 citations indexed

About

Yuki Naoi is a scholar working on Animal Science and Zoology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yuki Naoi has authored 18 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Animal Science and Zoology, 13 papers in Infectious Diseases and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yuki Naoi's work include Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (13 papers) and Viral Infections and Immunology Research (8 papers). Yuki Naoi is often cited by papers focused on Animal Virus Infections Studies (14 papers), Viral gastroenteritis research and epidemiology (13 papers) and Viral Infections and Immunology Research (8 papers). Yuki Naoi collaborates with scholars based in Japan, United States and Denmark. Yuki Naoi's co-authors include Tetsuya Mizutani, Tsutomu Omatsu, Yukie Katayama, Makoto Nagai, Mami Oba, Shinobu Tsuchiaka, Kaori Sano, Mai Kishimoto, Junsuke Shirai and Hiroshi Aoki and has published in prestigious journals such as Virus Research, BMC Microbiology and Archives of Virology.

In The Last Decade

Yuki Naoi

18 papers receiving 260 citations

Peers

Yuki Naoi

ASZ

CCM

ACS

MICRO

Mai Kishimoto Japan

Michael McMenamy United Kingdom

Vladimir V. Drygin Russia

Marisa Rotolo United States

Joe Anderson United States

Bernd-Andreas Schwarz Germany

Mathew Fisher Canada

Chang‐Gi Jeong South Korea

Camila Mengue Scheffer Brazil

Miguel Matos Austria

Mai Kishimoto Japan

Yuki Naoi

158 ×1.0

86 ×0.6

ASZ

36 ×0.4

CCM

51 ×0.6

ACS

71 ×1.3

MICRO

Citations per year, relative to Yuki Naoi Yuki Naoi (= 1×) peers Mai Kishimoto

Countries citing papers authored by Yuki Naoi

Since Specialization

Citations

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

Fields of papers citing papers by Yuki Naoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Naoi

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

All Works

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18 of 18 papers shown

Aoki, Hiroshi, Fujiko Sunaga, Hideharu Ochiai, et al.. (2019). Phylogenetic analysis of novel posaviruses detected in feces of Japanese pigs with posaviruses and posa-like viruses of vertebrates and invertebrates. Archives of Virology. 164(8). 2147–2151. 10 indexed citations

Sunaga, Fujiko, Tsuneyuki Masuda, Mika Ito, et al.. (2019). Complete genomic analysis and molecular characterization of Japanese porcine sapeloviruses. Virus Genes. 55(2). 198–208. 12 indexed citations

Sunaga, Fujiko, Tsuneyuki Masuda, Hiroshi Aoki, et al.. (2019). Complete genome sequencing and genetic characterization of porcine sapovirus genogroup (G) X and GXI: GVI, GVII, GX, and GXI sapoviruses share common genomic features and form a unique porcine SaV clade. Infection Genetics and Evolution. 75. 103959–103959. 6 indexed citations

Imai, Ryo, Makoto Nagai, Mami Oba, et al.. (2019). A novel defective recombinant porcine enterovirus G virus carrying a porcine torovirus papain-like cysteine protease gene and a putative anti-apoptosis gene in place of viral structural protein genes. Infection Genetics and Evolution. 75. 103975–103975. 17 indexed citations

Oba, Mami, Yuki Naoi, Mika Ito, et al.. (2018). Metagenomic identification and sequence analysis of a Teschovirus A-related virus in porcine feces in Japan, 2014–2016. Infection Genetics and Evolution. 66. 210–216. 12 indexed citations

Masuda, Tsuneyuki, Fujiko Sunaga, Yuki Naoi, et al.. (2018). Whole genome analysis of a novel picornavirus related to the Enterovirus/Sapelovirus supergroup from porcine feces in Japan. Virus Research. 257. 68–73. 3 indexed citations

MURAKAMI, Toshiaki, Shinobu Tsuchiaka, Mai Kishimoto, et al.. (2017). Diversity in VP3, NSP3, and NSP4 of rotavirus B detected from Japanese cattle. Infection Genetics and Evolution. 49. 97–103. 9 indexed citations

Tsuchiaka, Shinobu, Konosuke OTOMARU, Hiroshi Aoki, et al.. (2017). Identification of a novel bovine enterovirus possessing highly divergent amino acid sequences in capsid protein. BMC Microbiology. 17(1). 18–18. 17 indexed citations

Kishimoto, Mai, Shinobu Tsuchiaka, Satoshi Sugimura, et al.. (2017). Development of a one-run real-time PCR detection system for pathogens associated with bovine respiratory disease complex. Journal of Veterinary Medical Science. 79(3). 517–523. 86 indexed citations

10.

Oba, Mami, Yukie Katayama, Yuki Naoi, et al.. (2017). Discovery of fur seal feces-associated circular DNA virus in swine feces in Japan. Journal of Veterinary Medical Science. 79(10). 1664–1666. 5 indexed citations

11.

Naoi, Yuki, Mai Kishimoto, Tsuneyuki Masuda, et al.. (2016). Characterization and phylogenetic analysis of a novel picornavirus from swine feces in Japan. Archives of Virology. 161(6). 1685–1690. 6 indexed citations

12.

Sato, Asuka, Yuki Naoi, Mai Shiokawa, et al.. (2016). Complete Genome Sequencing of Bovine Viral Diarrhea Virus 1, Subgenotypes 1n and 1o. Genome Announcements. 4(1). 13 indexed citations

13.

Kurogi, Hiroaki, Seinen Chow, Toshihiro Yamamoto, et al.. (2016). Detection of Japanese Eel Endothelial Cells-infecting Virus (JEECV) in Mature Japanese Eel <i>Anguilla japonica</i> Caught from Their Spawning Area. Fish Pathology. 51(2). 64–66. 3 indexed citations

14.

Ito, Mika, Shinobu Tsuchiaka, Yuki Naoi, et al.. (2015). Whole genome analysis of Japanese bovine toroviruses reveals natural recombination between porcine and bovine toroviruses. Infection Genetics and Evolution. 38. 90–95. 12 indexed citations

15.

Nagai, Makoto, Tsutomu Omatsu, Hiroshi Aoki, et al.. (2015). Identification and complete genome analysis of a novel bovine picornavirus in Japan. Virus Research. 210. 205–212. 21 indexed citations

16.

OTOMARU, Konosuke, Yuki Naoi, Kei Haga, et al.. (2015). Detection of novel kobu-like viruses in Japanese black cattle in Japan. Journal of Veterinary Medical Science. 78(2). 321–324. 14 indexed citations

17.

Naoi, Yuki, et al.. (2015). Complete Genome Sequences of Two Japanese Eel Endothelial Cell-Infecting Virus Strains Isolated in Japan. Genome Announcements. 3(6). 4 indexed citations

18.

Okazaki, Sachiko, Satoshi Koyama, Shinobu Tsuchiaka, et al.. (2015). Detection of Japanese eel endothelial cells-infecting virus in <i>Anguilla japonica</i> elvers. Journal of Veterinary Medical Science. 78(4). 705–707. 12 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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