Bin Gotoh
Impact in
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
- Infectious Diseases top 1%
- Viral Infections and Vectors
Papers in
- Epidemiology 31
- Virology and Viral Diseases 24
- Respiratory viral infections research 12
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- Viral Infections and Vectors 16
- Co-authors
- Takayuki Komatsu (19 shared papers)Kenji Takeuchi (17 shared papers)Junko Yokoo (10 shared papers)Michinari Hamaguchi (7 shared papers)Tetsuya Toyoda (8 shared papers)Yoshiyuki Nagai (8 shared papers)Takemasa Sakaguchi (6 shared papers)Noel M. Inocencio (6 shared papers)
- Journals
- Journal of Virology (12 papers)FEBS Letters (9 papers)Virology (8 papers)Medical Microbiology and Immunology (3 papers)Microbes and Infection (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Bin Gotoh
56 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 83
- Animal Science and Zoology 562
- Infectious Diseases 965
- Epidemiology 1.7k
- Immunology 856
- Virology 177
Countries citing papers authored by Bin Gotoh
This map shows the geographic impact of Bin Gotoh'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 Bin Gotoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Gotoh more than expected).
Fields of papers citing papers by Bin Gotoh
This network shows the impact of papers produced by Bin Gotoh. 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 Bin Gotoh. The network helps show where Bin Gotoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Gotoh, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 370 | |
| 2 | 1987 | 194 | |
| 3 | 1989 | 146 | |
| 4 | 1989 | 139 | |
| 5 | 1990 | 131 | |
| 6 | 1999 | 116 | |
| 7 | 2017 | 114 | |
| 8 | 1992 | 114 | |
| 9 | 2002 | 112 | |
| 10 | 2000 | 98 | |
| 11 | 1992 | 90 | |
| 12 | 2001 | 89 | |
| 13 | 2003 | 88 | |
| 14 | 2008 | 81 | |
| 15 | 2001 | 79 | |
| 16 | 2004 | 78 | |
| 17 | 1988 | 74 | |
| 18 | 1994 | 70 | |
| 19 | 2002 | 57 | |
| 20 | 2013 | 48 |
About Bin Gotoh
Bin Gotoh is a scholar working on Epidemiology, Infectious Diseases, Immunology, Genetics and Molecular Biology, having authored 56 papers that have together received 2.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (24 papers), interferon and immune responses (18 papers), Viral Infections and Vectors (16 papers), Virus-based gene therapy research (13 papers), Respiratory viral infections research (12 papers), Viral Infections and Immunology Research (6 papers), Animal Virus Infections Studies (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Animal Science and Zoology (562 citations), Infectious Diseases (965 citations), Epidemiology (1.7k citations), Immunology (856 citations) and Virology (177 citations). Bin Gotoh has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takayuki Komatsu, Kenji Takeuchi, Junko Yokoo, Michinari Hamaguchi, Tetsuya Toyoda, Yoshiyuki Nagai, Takemasa Sakaguchi, Noel M. Inocencio, Yasuo Ohnishi and Yoshinori Kitagawa. Their work appears in journals such as Journal of Virology, FEBS Letters, Virology, Medical Microbiology and Immunology and Microbes and Infection.
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.