Eiji Watari
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
- Immunology 12
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 3
- Epidemiology 16
- Virology and Viral Diseases 9
- Influenza Virus Research Studies 6
- Co-authors
- Hidemi Takahashi (16 shared papers)Eiji Shinya (7 shared papers)Ellen Heber‐Katz (2 shared papers)Bernhard Dietzschold (2 shared papers)Gyula Szókán (1 shared paper)Yoshihiko Norose (6 shared papers)Masahiko Sugita (5 shared papers)Masumi Shimizu (6 shared papers)
- Journals
- Antiviral Research (3 papers)The Journal of Infectious Diseases (2 papers)Journal of Leukocyte Biology (2 papers)Immunology (2 papers)Journal of Nippon Medical School (10 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Eiji Watari
35 papers receiving 567 citations
Peers
Comparison fields: 5 of 50
- Virology 88
- Immunology 248
- Epidemiology 117
- Hepatology 32
- Infectious Diseases 66
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 88 | |
| 2 | 2003 | 66 | |
| 3 | 2003 | 61 | |
| 4 | 2004 | 45 | |
| 5 | 2004 | 41 | |
| 6 | 1992 | 31 | |
| 7 | 2007 | 29 | |
| 8 | 2012 | 29 | |
| 9 | 2006 | 26 | |
| 10 | 2011 | 23 | |
| 11 | 2010 | 21 | |
| 12 | 1991 | 19 | |
| 13 | 2002 | 18 | |
| 14 | 2003 | 15 | |
| 15 | 2006 | 11 | |
| 16 | 1998 | 10 | |
| 17 | 2013 | 7 | |
| 18 | 1996 | 5 | |
| 19 | 2003 | 5 | |
| 20 | 2005 | 5 |
About Eiji Watari
Eiji Watari is a scholar working on Immunology, Epidemiology, Virology, Hepatology and Oncology, having authored 40 papers that have together received 591 indexed citations. Recurring topics across this work include Virology and Viral Diseases (9 papers), Influenza Virus Research Studies (6 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers), HIV Research and Treatment (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Liver physiology and pathology (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Virology (88 citations), Immunology (248 citations), Epidemiology (117 citations), Hepatology (32 citations) and Infectious Diseases (66 citations). Eiji Watari has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hidemi Takahashi, Eiji Shinya, Ellen Heber‐Katz, Bernhard Dietzschold, Gyula Szókán, Yoshihiko Norose, Masahiko Sugita, Masumi Shimizu, Seiji Kawana and Junko S. Takeuchi. Their work appears in journals such as Antiviral Research, The Journal of Infectious Diseases, Journal of Leukocyte Biology, Immunology and Journal of Nippon Medical School.
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.