Yasuha Arai

550 total citations
23 papers, 362 citations indexed

About

Yasuha Arai is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Yasuha Arai has authored 23 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 12 papers in Infectious Diseases and 6 papers in Agronomy and Crop Science. Recurrent topics in Yasuha Arai's work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (11 papers) and Viral gastroenteritis research and epidemiology (6 papers). Yasuha Arai is often cited by papers focused on Influenza Virus Research Studies (20 papers), Respiratory viral infections research (11 papers) and Viral gastroenteritis research and epidemiology (6 papers). Yasuha Arai collaborates with scholars based in Japan, Egypt and Thailand. Yasuha Arai's co-authors include Y. Watanabe, Takaaki Nakaya, Tomo Daidoji, Madiha S. Ibrahim, Tatsuya Takagi, Norihito Kawashita, Kazuhiko Matsumoto, Yasuo Suzuki, Takao Ono and Kazuyoshi Ikuta and has published in prestigious journals such as Journal of Virology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Yasuha Arai

23 papers receiving 359 citations

Peers

Yasuha Arai
Sandra Gohrbandt Germany
Shamika Danzy United States
Hejiang Wei China
Meng Hu Hong Kong
Ginger Geiger United States
Natalie Larionova Russia
Erin Hodges United States
Hung Tai Hong Kong
Ruth A. Elderfield United Kingdom
Jeri‐Carol Crumpton United States
Sandra Gohrbandt Germany
Yasuha Arai
Citations per year, relative to Yasuha Arai Yasuha Arai (= 1×) peers Sandra Gohrbandt

Countries citing papers authored by Yasuha Arai

Since Specialization
Citations

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

Fields of papers citing papers by Yasuha Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuha Arai

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuha Arai. A scholar is included among the top collaborators of Yasuha Arai 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 Yasuha Arai. Yasuha Arai 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.
2.
Arai, Yasuha, Daisuke Kuroda, Nobuaki Okumura, et al.. (2022). ACE2 N-glycosylation modulates interactions with SARS-CoV-2 spike protein in a site-specific manner. Communications Biology. 5(1). 1188–1188. 26 indexed citations
3.
Arai, Yasuha, Itaru Yamanaka, Toru Okamoto, et al.. (2022). Stimulation of interferon-β responses by aberrant SARS-CoV-2 small viral RNAs acting as retinoic acid-inducible gene-I agonists. iScience. 26(1). 105742–105742. 6 indexed citations
4.
Arai, Yasuha, Norihito Kawashita, Tomo Daidoji, et al.. (2021). Double mutations in the H9N2 avian influenza virus PB2 gene act cooperatively to increase viral host adaptation and replication for human infections. Journal of General Virology. 102(6). 4 indexed citations
5.
Daidoji, Tomo, Ronald Enrique Morales Vargas, Katsuro Hagiwara, et al.. (2021). Development of genus-specific universal primers for the detection of flaviviruses. Virology Journal. 18(1). 187–187. 2 indexed citations
6.
Arai, Yasuha & Y. Watanabe. (2020). “Genetic tuning” of avian influenza virus host adaptation from birds to humans. Biosafety and Health. 3(2). 78–80. 2 indexed citations
7.
8.
Arai, Yasuha, Norihito Kawashita, Madiha S. Ibrahim, et al.. (2020). PA Mutations Inherited during Viral Evolution Act Cooperatively To Increase Replication of Contemporary H5N1 Influenza Virus with an Expanded Host Range. Journal of Virology. 95(1). 16 indexed citations
9.
Arai, Yasuha, Norihito Kawashita, Madiha S. Ibrahim, et al.. (2019). PB2 mutations arising during H9N2 influenza evolution in the Middle East confer enhanced replication and growth in mammals. PLoS Pathogens. 15(7). e1007919–e1007919. 34 indexed citations
10.
Arai, Yasuha, Norihito Kawashita, Phuong Vu Mai Hoang, et al.. (2018). Multiple polymerase gene mutations for human adaptation occurring in Asian H5N1 influenza virus clinical isolates. Scientific Reports. 8(1). 13066–13066. 18 indexed citations
11.
Arai, Yasuha, Madiha S. Ibrahim, Tomo Daidoji, et al.. (2018). Genetic Compatibility of Reassortants between Avian H5N1 and H9N2 Influenza Viruses with Higher Pathogenicity in Mammals. Journal of Virology. 93(4). 27 indexed citations
12.
Watanabe, Y., Yasuha Arai, Norihito Kawashita, et al.. (2018). Characterization of H5N1 Influenza Virus Quasispecies with Adaptive Hemagglutinin Mutations from Single-Virus Infections of Human Airway Cells. Journal of Virology. 92(11). 16 indexed citations
13.
Daidoji, Tomo, et al.. (2017). Unique Infectious Strategy of H5N1 Avian Influenza Virus Is Governed by the Acid-Destabilized Property of Hemagglutinin. Viral Immunology. 30(6). 398–407. 9 indexed citations
14.
Arai, Yasuha, Norihito Kawashita, Tomo Daidoji, et al.. (2016). Novel Polymerase Gene Mutations for Human Adaptation in Clinical Isolates of Avian H5N1 Influenza Viruses. PLoS Pathogens. 12(4). e1005583–e1005583. 42 indexed citations
15.
Hirose, Ryohei, Tomo Daidoji, Yuji Naito, et al.. (2016). Long-term detection of seasonal influenza RNA in faeces and intestine. Clinical Microbiology and Infection. 22(9). 813.e1–813.e7. 34 indexed citations
16.
Watanabe, Y., Tomo Daidoji, Yasuha Arai, et al.. (2016). Genetic characterization of highly pathogenic avian influenza H5N1 viruses isolated from naturally infected pigeons in Egypt. Virus Genes. 52(6). 867–871. 12 indexed citations
17.
Watanabe, Y., Yasuha Arai, Tomo Daidoji, et al.. (2015). Characterization of H5N1 Influenza Virus Variants with Hemagglutinin Mutations Isolated from Patients. mBio. 6(2). 41 indexed citations
18.
Chittaganpitch, Malinee, Sunthareeya Waicharoen, Ritsuko Kubota‐Koketsu, et al.. (2014). A human monoclonal antibody derived from a vaccinated volunteer recognizes heterosubtypically a novel epitope on the hemagglutinin globular head of H1 and H9 influenza A viruses. Biochemical and Biophysical Research Communications. 452(3). 865–870. 7 indexed citations
19.
Pan, Yang, Tadahiro Sasaki, Ritsuko Kubota‐Koketsu, et al.. (2014). Human monoclonal antibodies derived from a patient infected with 2009 pandemic influenza A virus broadly cross-neutralize group 1 influenza viruses. Biochemical and Biophysical Research Communications. 450(1). 42–48. 8 indexed citations
20.
Arai, Yasuha, Vuong Nghia Bui, Yohei Takeda, et al.. (2013). Lung Cytokine Gene Expression is Correlated with Increased Severity of Disease in a Novel H4N8 Influenza Virus Isolated from Shorebirds. Journal of Veterinary Medical Science. 75(10). 1341–1347. 1 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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