Jun Arii
Impact in
- Epidemiology top 1%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
- Epidemiology 60
- Herpesvirus Infections and Treatments 57
- Cytomegalovirus and herpesvirus research 9
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- SARS-CoV-2 and COVID-19 Research 11
- COVID-19 Clinical Research Studies 2
- Co-authors
- Yasushi Kawaguchi (53 shared papers)Akihisa Kato (40 shared papers)Naoto Koyanagi (27 shared papers)Hisashi Arase (8 shared papers)Yuhei Maruzuru (18 shared papers)Hiroomi Akashi (10 shared papers)Masaaki Oyama (13 shared papers)Hiroko Kozuka‐Hata (13 shared papers)
- Journals
- Journal of Virology (39 papers)The Journal of Infectious Diseases (3 papers)Nature Communications (3 papers)PLoS ONE (2 papers)Antiviral Research (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Arii
76 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 86
- Epidemiology 1.5k
- Animal Science and Zoology 113
- Immunology 213
- Cell Biology 141
- Virology 45
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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 264 | |
| 2 | 2010 | 200 | |
| 3 | 2018 | 130 | |
| 4 | 2018 | 93 | |
| 5 | 2021 | 79 | |
| 6 | 2008 | 77 | |
| 7 | 2009 | 75 | |
| 8 | 2014 | 68 | |
| 9 | 2018 | 64 | |
| 10 | 2014 | 60 | |
| 11 | 2009 | 58 | |
| 12 | 2015 | 57 | |
| 13 | 2009 | 49 | |
| 14 | 2011 | 48 | |
| 15 | 2015 | 44 | |
| 16 | 2013 | 42 | |
| 17 | 2017 | 41 | |
| 18 | 2012 | 40 | |
| 19 | 2012 | 39 | |
| 20 | 2014 | 39 |
About Jun Arii
Jun Arii is a scholar working on Epidemiology, Infectious Diseases, Cell Biology, Virology and Immunology, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (57 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Cytomegalovirus and herpesvirus research (9 papers), Cellular transport and secretion (3 papers), interferon and immune responses (3 papers), HIV Research and Treatment (2 papers), COVID-19 Clinical Research Studies (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Epidemiology (1.5k citations), Animal Science and Zoology (113 citations), Immunology (213 citations), Cell Biology (141 citations) and Virology (45 citations). Jun Arii has collaborated with scholars based in Japan and United States. Frequent co-authors include Yasushi Kawaguchi, Akihisa Kato, Naoto Koyanagi, Hisashi Arase, Yuhei Maruzuru, Hiroomi Akashi, Masaaki Oyama, Hiroko Kozuka‐Hata, Tadahiro Suenaga and Takahiko Imai. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, Nature Communications, PLoS ONE and Antiviral Research.
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.