Akatsuki Saito

9.5k total citations
83 papers, 1.5k citations indexed

About

Akatsuki Saito is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Akatsuki Saito has authored 83 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Infectious Diseases, 29 papers in Epidemiology and 27 papers in Virology. Recurrent topics in Akatsuki Saito's work include HIV Research and Treatment (27 papers), Viral Infections and Vectors (17 papers) and Mosquito-borne diseases and control (17 papers). Akatsuki Saito is often cited by papers focused on HIV Research and Treatment (27 papers), Viral Infections and Vectors (17 papers) and Mosquito-borne diseases and control (17 papers). Akatsuki Saito collaborates with scholars based in Japan, United States and Thailand. Akatsuki Saito's co-authors include Tamaki Okabayashi, Shouichi Fujimoto, Hiroko Inagaki, Hirofumi Akari, Tatsuo Shioda, Emi E. Nakayama, Masahiro Yamashita, Masako Nomaguchi, Akio Adachi and Tomoyuki Yoshida and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Akatsuki Saito

79 papers receiving 1.5k citations

Peers

Akatsuki Saito

VIROL

IMMUN

EPIDE

PHEOH

Nisha K. Duggal United States

Wayne A. Jensen United States

Danielle E. Anderson Singapore

Keith J. Chappell Australia

Nancy McKinney United States

Hualei Wang China

Na Feng China

Kasi Russell‐Lodrigue United States

Greg Saturday United States

Bettina Bankamp United States

Nisha K. Duggal United States

Akatsuki Saito

1.1k ×1.7

206 ×0.4

VIROL

208 ×0.6

IMMUN

422 ×1.5

EPIDE

1.1k ×3.8

PHEOH

Citations per year, relative to Akatsuki Saito Akatsuki Saito (= 1×) peers Nisha K. Duggal

Countries citing papers authored by Akatsuki Saito

Since Specialization

Citations

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

Fields of papers citing papers by Akatsuki Saito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akatsuki Saito

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

All Works

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20 of 20 papers shown

Ullah, Shakir, Akatsuki Saito, Tamaki Okabayashi, et al.. (2024). Direct TaqMan assay for the detection and genotyping of bovine viral diarrhea virus types 1 and 2. Archives of Virology. 170(1). 15–15.

Saito, Akatsuki, Tadahiro Sasaki, Ritsuko Koketsu, et al.. (2024). Genetic regions affecting the replication and pathogenicity of dengue virus type 2. PLoS neglected tropical diseases. 18(1). e0011885–e0011885. 4 indexed citations

Naoe, Youichi, et al.. (2024). Neutralization sensitivity of SARS-CoV-2 Omicron variants FL.1 and GE.1 by therapeutic antibodies and XBB sera. Virology. 595. 110067–110067. 2 indexed citations

Chen, Jinyang, B. Villanueva, Maya Shofa, et al.. (2023). Genetic Diversity of Domestic Cat Hepadnavirus in Southern Taiwan. Viruses. 15(10). 2128–2128. 4 indexed citations

Nasser, Hesham, Jiří Zahradník, Shuya Mitoma, et al.. (2023). Characterization of the evolutionary and virological aspects of mutations in the receptor binding motif of the SARS-CoV-2 spike protein. SHILAP Revista de lepidopterología. 3. 3 indexed citations

Tanaka, Yuri, Maya Shofa, Erika P. Butlertanaka, et al.. (2023). Generation of a Porcine Cell Line Stably Expressing Pig TMPRSS2 for Efficient Isolation of Swine Influenza Virus. Pathogens. 13(1). 18–18.

Shofa, Maya & Akatsuki Saito. (2023). Generation of porcine PK-15 cells lacking the Ifnar1 or Stat2 gene to optimize the efficiency of viral isolation. PLoS ONE. 18(11). e0289863–e0289863. 1 indexed citations

Ode, Hirotaka, Akatsuki Saito, Takeshi Yoshida, et al.. (2022). Development of a novel Macaque-Tropic HIV-1 adapted to cynomolgus macaques. Journal of General Virology. 103(10). 1 indexed citations

Hashimoto, Rina, Yumi Itoh, Ayaka Sakamoto, et al.. (2022). Cell response analysis in SARS-CoV-2 infected bronchial organoids. Communications Biology. 5(1). 516–516. 35 indexed citations

10.

Shofa, Maya, Yasuyuki Kaneko, Kazuki Takahashi, Tamaki Okabayashi, & Akatsuki Saito. (2022). Global Prevalence of Domestic Cat Hepadnavirus: An Emerging Threat to Cats’ Health?. Frontiers in Microbiology. 13. 938154–938154. 9 indexed citations

11.

Saito, Akatsuki, et al.. (2020). The 4th and 112th Residues of Viral Capsid Cooperatively Modulate Capsid-CPSF6 Interactions of HIV-1. AIDS Research and Human Retroviruses. 36(6). 513–521. 2 indexed citations

12.

Saito, Akatsuki, et al.. (2019). HIV-1 is more dependent on the K182 capsid residue than HIV-2 for interactions with CPSF6. Virology. 532. 118–126. 5 indexed citations

13.

Nakayama, Emi E., et al.. (2018). Naturally Occurring Mutations in HIV-1 CRF01_AE Capsid Affect Viral Sensitivity to Restriction Factors. AIDS Research and Human Retroviruses. 34(4). 382–392. 9 indexed citations

14.

Furuta, Rie, Jun‐ichirou Yasunaga, Michi Miura, et al.. (2017). Human T-cell leukemia virus type 1 infects multiple lineage hematopoietic cells in vivo. PLoS Pathogens. 13(11). e1006722–e1006722. 68 indexed citations

15.

Yoshida, Tomoyuki, Tsutomu Omatsu, Akatsuki Saito, et al.. (2013). Dynamics of cellular immune responses in the acute phase of dengue virus infection. Archives of Virology. 158(6). 1209–1220. 16 indexed citations

16.

Nomaguchi, Masako, Masaru Yokoyama, Ken Kono, et al.. (2012). Gag-CA Q110D mutation elicits TRIM5-independent enhancement of HIV-1mt replication in macaque cells. Microbes and Infection. 15(1). 56–65. 23 indexed citations

17.

Iwasaki, Yuki, Koji Ishii, Noboru Maki, et al.. (2011). Long-Term Persistent GBV-B Infection and Development of a Chronic and Progressive Hepatitis C-Like Disease in Marmosets. Frontiers in Microbiology. 2. 240–240. 19 indexed citations

18.

Yoshida, Tomoyuki, Tsutomu Omatsu, Akatsuki Saito, et al.. (2011). CD16+ natural killer cells play a limited role against primary dengue virus infection in tamarins. Archives of Virology. 157(2). 363–368. 9 indexed citations

19.

Saito, Akatsuki, Masako Nomaguchi, Sayuki Iijima, et al.. (2010). Improved capacity of a monkey-tropic HIV-1 derivative to replicate in cynomolgus monkeys with minimal modifications. Microbes and Infection. 13(1). 58–64. 33 indexed citations

20.

Yoshida, Tomoyuki, Akatsuki Saito, Yuki Iwasaki, et al.. (2010). Characterization of Natural Killer Cells in Tamarins: A Technical Basis for Studies of Innate Immunity. Frontiers in Microbiology. 1. 128–128. 10 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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