Eiji Watari
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in ⓘ
- Immunology 20
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Immune Response and Inflammation 4
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- Hidemi Takahashi (16 shared papers)Eiji Shinya (7 shared papers)Bernhard Dietzschold (1 shared paper)Ellen Heber‐Katz (1 shared paper)Masahiko Sugita (5 shared papers)Yoshihiko Norose (6 shared papers)Masumi Shimizu (6 shared papers)Junko S. Takeuchi (2 shared papers)
- Journals
- Antiviral Research (3 papers)Immunology (2 papers)Journal of Leukocyte Biology (2 papers)The Journal of Infectious Diseases (2 papers)Vaccine (1 paper)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Eiji Watari
34 papers receiving 540 citations
Peers
Comparison fields: 5 of 70
- Virology 92
- Immunology 351
- Epidemiology 161
- Infectious Diseases 76
- Hepatology 32
Countries citing papers authored by Eiji Watari
This map shows the geographic impact of Eiji Watari'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 Eiji Watari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Watari more than expected).
Fields of papers citing papers by Eiji Watari
This network shows the impact of papers produced by Eiji Watari. 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 Eiji Watari. The network helps show where Eiji Watari may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiji Watari, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 82 | |
| 2 | 2003 | 60 | |
| 3 | 2003 | 60 | |
| 4 | 2004 | 43 | |
| 5 | 2004 | 39 | |
| 6 | 1992 | 30 | |
| 7 | 2007 | 28 | |
| 8 | 2006 | 26 | |
| 9 | 2012 | 26 | |
| 10 | 2011 | 22 | |
| 11 | 2010 | 19 | |
| 12 | 1991 | 19 | |
| 13 | 2002 | 17 | |
| 14 | 2003 | 15 | |
| 15 | 2006 | 11 | |
| 16 | 1998 | 8 | |
| 17 | 2013 | 6 | |
| 18 | 1996 | 5 | |
| 19 | 2005 | 5 | |
| 20 | 2003 | 5 |
About Eiji Watari
Eiji Watari is a scholar working on Immunology, Virology, Epidemiology, Hepatology and Genetics, having authored 37 papers that have together received 554 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Virology and Viral Diseases (6 papers), Virus-based gene therapy research (5 papers), Influenza Virus Research Studies (5 papers), HIV Research and Treatment (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Virology (92 citations), Immunology (351 citations), Epidemiology (161 citations), Infectious Diseases (76 citations) and Hepatology (32 citations). Eiji Watari has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hidemi Takahashi, Eiji Shinya, Bernhard Dietzschold, Ellen Heber‐Katz, Masahiko Sugita, Yoshihiko Norose, Masumi Shimizu, Junko S. Takeuchi, Seiji Kawana and Kozo Yokomuro. Their work appears in journals such as Antiviral Research, Immunology, Journal of Leukocyte Biology, The Journal of Infectious Diseases and Vaccine.
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.