Jun Arii
Impact in
- Epidemiology top 1%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Virology top 5%
Papers in
- Epidemiology 59
- Herpesvirus Infections and Treatments 56
- Cytomegalovirus and herpesvirus research 27
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- RNA regulation and disease 11
- Co-authors
- Yasushi Kawaguchi (53 shared papers)Akihisa Kato (40 shared papers)Naoto Koyanagi (27 shared papers)Hisashi Arase (8 shared papers)Hiroomi Akashi (10 shared papers)Yuhei Maruzuru (18 shared papers)Masaaki Oyama (13 shared papers)Hiroko Kozuka‐Hata (13 shared papers)
- Journals
- Journal of Virology (38 papers)Nature Communications (3 papers)The Journal of Infectious Diseases (2 papers)PLoS ONE (2 papers)Cell Host & Microbe (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Jun Arii
73 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 89
- Epidemiology 1.5k
- Virology 151
- Immunology 643
- Genetics 430
- Infectious Diseases 271
Countries citing papers authored by Jun Arii
This map shows the geographic impact of Jun Arii'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 Jun Arii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Arii more than expected).
Fields of papers citing papers by Jun Arii
This network shows the impact of papers produced by Jun Arii. 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 Jun Arii. The network helps show where Jun Arii may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Arii, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 256 | |
| 2 | 2010 | 196 | |
| 3 | 2018 | 121 | |
| 4 | 2018 | 87 | |
| 5 | 2009 | 75 | |
| 6 | 2021 | 75 | |
| 7 | 2008 | 73 | |
| 8 | 2014 | 64 | |
| 9 | 2018 | 63 | |
| 10 | 2014 | 59 | |
| 11 | 2015 | 54 | |
| 12 | 2009 | 53 | |
| 13 | 2009 | 49 | |
| 14 | 2015 | 43 | |
| 15 | 2013 | 42 | |
| 16 | 2011 | 41 | |
| 17 | 2012 | 39 | |
| 18 | 2012 | 38 | |
| 19 | 2017 | 38 | |
| 20 | 2014 | 35 |
About Jun Arii
Jun Arii is a scholar working on Epidemiology, Molecular Biology, Immunology, Genetics and Infectious Diseases, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (56 papers), Cytomegalovirus and herpesvirus research (27 papers), Virus-based gene therapy research (17 papers), Toxin Mechanisms and Immunotoxins (11 papers), RNA regulation and disease (11 papers), interferon and immune responses (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Epidemiology (1.5k citations), Virology (151 citations), Immunology (643 citations), Genetics (430 citations) and Infectious Diseases (271 citations). Jun Arii has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yasushi Kawaguchi, Akihisa Kato, Naoto Koyanagi, Hisashi Arase, Hiroomi Akashi, Yuhei Maruzuru, Masaaki Oyama, Hiroko Kozuka‐Hata, Tadahiro Suenaga and Takahiko Imai. Their work appears in journals such as Journal of Virology, Nature Communications, The Journal of Infectious Diseases, PLoS ONE and Cell Host & Microbe.
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.